BCS-API_06_BlueskyFlying_M201Roll_BcszSync_nb.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Combining LabView BCS with Bluesky"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook demonstrates how the LabView Beamline Control System API can be used to implement a \"Single Motor Scan\" as an `ophyd` device. Furthermore, this \"Single Motor Scan\" device can be initiated by the `bluesky` Run Engine as a `fly` plan with data avaliable in a bluesky run document."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Brief Summary\n",
    "\n",
    "The bluesky `fly` plan will cede control to an `ophyd` \"[Fly-able Interface](http://nsls-ii.github.io/ophyd/architecture.html#fly-able-interface)\" (e.g., [FlyerInterface](https://github.com/bluesky/ophyd/blob/dd4b3e389a0202ecacce39fc3965d703c616b0d4/ophyd/flyers.py#L17)) to collect data asynchronously, and then return data as \"[event](https://blueskyproject.io/event-model/data-model.html#event-document)\" documents.\n",
    "\n",
    "The \"Fly-able Interface\" must:\n",
    "\n",
    "1. `kickoff()` the scan\n",
    "2. `complete()` data collection for the scan\n",
    "3. `describe_collect()`: provide a descriptor for the data that is being collected\n",
    "4. `collect()`: yield event document(s) that contain the data\n",
    "\n",
    "More details about this concept of embedding external control system scans into bluesky can be found in [this example notebook](https://github.com/BCDA-APS/bluesky_training/blob/31-sscan-1D-as-flyer/sscan_1d_flyer.ipynb).\n",
    "\n",
    "This example uses a _synchronous/blocking_ version of the BCS-API library (BCSz_sync.py), which is otherwise identical to the asynchronous version (BCSz.py). The blocking version was created because the bluesky Run Engine does not currently use `asyncio` `await` directive for the Fly-able interface methods."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Credits\n",
    "\n",
    "This example builds heavily upon two recently published works, as well as the many developers and contributors to the bluesky and BCS projects.\n",
    "\n",
    "* [BCS-API](http://bcsapi.als.lbl.gov:3080): ZeroMQ library and python bindings (BCSz.py) developed by [Damon English](https://github.com/daenglis) for interfacing with the Advanced Light Source's BCS control system.\n",
    "* [`sscan as 1D Flyer`](https://github.com/BCDA-APS/bluesky_training/blob/31-sscan-1D-as-flyer/sscan_1d_flyer.ipynb) example published by [Pete Jemian](https://github.com/prjemian) to demonstrate how the bluesky fly plan can be used to initiate scans and report data from external control systems (in that case, the EPICS sscan record)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare the notebook settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "\n",
    "# pretty print all cell's output and not just the last one\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "var kernel = IPython.notebook.kernel;\n",
       "var thename = window.document.getElementById(\"notebook_name\").innerHTML;\n",
       "var command = \"theNotebook = \" + \"'\"+thename+\"'\";\n",
       "kernel.execute(command);\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "var kernel = IPython.notebook.kernel;\n",
    "var thename = window.document.getElementById(\"notebook_name\").innerHTML;\n",
    "var command = \"theNotebook = \" + \"'\"+thename+\"'\";\n",
    "kernel.execute(command);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'BCS-API_05_BlueskyFlying_M201Roll_BcszSync_nb'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "try:\n",
    "    theNotebook\n",
    "except NameError as e:\n",
    "    theNotebook = \"BCS-API_05_BlueskyFlying_M201Roll_BcszSync\"\n",
    "    theNotebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging\n",
    "logger = logging.getLogger()\n",
    "logger.setLevel(logging.DEBUG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup bluesky"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bluesky import RunEngine\n",
    "\n",
    "RE = RunEngine({})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bluesky.callbacks.best_effort import BestEffortCallback\n",
    "bec = BestEffortCallback()\n",
    "\n",
    "# Send all metadata/data captured to the BestEffortCallback.\n",
    "bec_token = RE.subscribe(bec)\n",
    "bec.enable_table()  # Print hinted readings from the ‘primary’ stream in a LiveTable\n",
    "\n",
    "# Make plots update live while scans run.\n",
    "from bluesky.utils import install_kicker\n",
    "install_kicker()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dotenv import load_dotenv\n",
    "\n",
    "load_dotenv()  # import environment variables from .env"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from databroker import Broker\n",
    "db = Broker.named('TEST')\n",
    "\n",
    "# Insert all metadata/data captured into db.\n",
    "RE.subscribe(db.insert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bluesky.utils import ProgressBarManager\n",
    "RE.waiting_hook = ProgressBarManager()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'versions': {'ophyd': '1.6.1', 'bluesky': '1.6.7'},\n",
       " 'notebook': 'BCS-API_05_BlueskyFlying_M201Roll_BcszSync_nb'}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RE.md['notebook'] = theNotebook\n",
    "RE.md"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup BCS-API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# These first two are necessary to use the API\n",
    "import asyncio\n",
    "import BCSz_sync\n",
    "\n",
    "# The rest of the imports are for the Example program\n",
    "import time\n",
    "import random\n",
    "\n",
    "# for working with images\n",
    "from PIL import Image\n",
    "import io\n",
    "from IPython.display import display # to display images\n",
    "\n",
    "# for plotting and working with files\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Helper classes and functions for reading data files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_bcs_data(data):\n",
    "    \"\"\"\n",
    "    Keep trying to import the data into pandas until success\n",
    "    The older BCS scans (so called 'Beamline Scans') have a variably sized header.\n",
    "    \"\"\"\n",
    "    for skrows in range(30):\n",
    "        data.seek(0)\n",
    "        try:\n",
    "            df = pd.read_csv(data, sep='\\t', skiprows=skrows, nrows=10)\n",
    "            df['Time (s)']\n",
    "            break\n",
    "        except (pd.errors.ParserError, KeyError):\n",
    "            pass # try again with skrows +=1\n",
    "\n",
    "    data.seek(0)\n",
    "    return skrows\n",
    "\n",
    "\n",
    "def plot_bcs_file(file_text='', plot_title='', x='Time (s)', y=None):\n",
    "    \"\"\"Display example plot for API testing\"\"\"\n",
    "    data = io.StringIO(file_text)\n",
    "    skip_rows = find_bcs_data(data)\n",
    "    df = pd.read_csv(data, sep='\\t', skiprows=skip_rows)\n",
    "    print(df.columns)\n",
    "    df.drop(0, inplace=True)\n",
    "    print(df.head())\n",
    "\n",
    "    if not y:\n",
    "        y = random.choice(df.columns)\n",
    "\n",
    "    df.plot(kind='scatter', x=x, y=y)\n",
    "    plt.title(plot_title)\n",
    "    plt.show()\n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Connect to BCS server"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Server Public Key b'Of([HlwK7Q(<)Mni$[J7{%KwFDAEs$RG}7tbIOb&'\n"
     ]
    }
   ],
   "source": [
    "bl402bcs = BCSz_sync.BCSServer()\n",
    "\n",
    "bl402bcs.connect(addr=str(os.environ[\"BCS_SERVER\"]), port=int(os.environ[\"BCS_PORT\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "---\n",
    "# PAUSE to check that beamline computer is available for testing\n",
    "\n",
    "No, seriously!  Ensure that no one else is using the beamline.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scan motors, read data\n",
    "## Careful!!!  This is moving real motors on the beamline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Define Ophyd devices for BCS + Bluesky"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ophyd import Device, Component, Signal\n",
    "from ophyd.status import DeviceStatus, SubscriptionStatus\n",
    "from ophyd.flyers import FlyerInterface"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ophyd device for BCS Single Motor Scan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "class BcsSingleMotorScan(Device):\n",
    "    \"\"\"\n",
    "    BCS Single Motor Scan (Move-Delay-Acquire) as an Ophyd device\n",
    "    \"\"\"\n",
    "    \n",
    "    # Signals to enable subscriptions for scan setup\n",
    "    motor_name = Component(Signal, kind=\"config\", value='')\n",
    "    first_value = Component(Signal, kind=\"config\", value=nan)\n",
    "    last_value = Component(Signal, kind=\"config\", value=nan)\n",
    "    step_value = Component(Signal, kind=\"config\", value=nan)\n",
    "    delay_sec = Component(Signal, kind=\"config\", value=0.)\n",
    "    count_sec = Component(Signal, kind=\"config\", value=1.)\n",
    "    num_scans = Component(Signal, kind=\"config\", value=1)\n",
    "    bidirectional = Component(Signal, kind=\"config\", value=False)\n",
    "    final_move = Component(Signal, kind=\"config\", value=\"Stay\")\n",
    "    memo = Component(Signal, kind=\"config\", value='')\n",
    "    filename_pattern = Component(Signal,kind=\"config\", value=\"*.txt\")\n",
    "    \n",
    "    # Signals to enable subscriptions/polling for scan status\n",
    "    ready = Component(Signal, kind=\"omitted\", value=False)\n",
    "    busy = Component(Signal, kind=\"omitted\", value=False)\n",
    "    done = Component(Signal, kind=\"omitted\", value=True)\n",
    "    execute_scan = Component(Signal, kind=\"omitted\", value=True)\n",
    "    data_path = Component(Signal, kind=\"normal\", value='')\n",
    "\n",
    "\n",
    "    def scan_setup(\n",
    "            self, *, \n",
    "            # server: str, port: int, \n",
    "            bcs_server: BCSz_sync.BCSServer, \n",
    "            motor: str, start: float, stop: float, step: float, \n",
    "            delay: float = 0., count: float = 1., \n",
    "            num_scans: int = 1, bidirect: bool = False, \n",
    "            final: str = \"Stay\",\n",
    "            memo: str = '',\n",
    "            filename_pattern: str = \"*.txt\", \n",
    "            **kwargs):\n",
    "        \"\"\"Configure a BCS Single Motor Scan\"\"\"\n",
    "        \n",
    "        # TODO: Check that bcs_server is connected\n",
    "        self._bcs = bcs_server\n",
    "        \n",
    "        self.motor_name.put(motor)\n",
    "        self.first_value.put(start)\n",
    "        self.last_value.put(stop)\n",
    "        self.step_value.put(step)\n",
    "        self.delay_sec.put(delay)\n",
    "        self.count_sec.put(count)\n",
    "        self.num_scans.put(num_scans)\n",
    "        self.bidirectional.put(bidirect)\n",
    "        self.final_move.put(final)\n",
    "        self.memo.put(memo)\n",
    "        self.filename_pattern.put(filename_pattern)\n",
    "        \n",
    "        # Scan is configured and ready to execute\n",
    "        self.ready.put(True)\n",
    "\n",
    "\n",
    "    def set(self, value, **kwargs):\n",
    "        \"\"\"interface to use bps.mv()\"\"\"\n",
    "        if value != 1:\n",
    "            return\n",
    "        if self.ready.get():\n",
    "            bcs_st = self._bcs.scan_status()\n",
    "            self.busy.put(bcs_st[\"running_scan\"])\n",
    "        if (not self.ready.get()) or (self.busy.get()):\n",
    "            # TODO: Raise Warning that scan is not ready\n",
    "            return\n",
    "\n",
    "        async def check_for_acquire_done(self):\n",
    "            bcs_st = self._bcs.scan_status()\n",
    "            while bcs_st[\"running_scan\"]:\n",
    "                await asyncio.sleep(0.1)\n",
    "                bcs_st = self._bcs.scan_status()\n",
    "            else:\n",
    "                # bcs_st = self._bcs.scan_status()\n",
    "                print(\"Scan is finshed!\")\n",
    "                # print(f\"{bcs_st =}...\")\n",
    "                self.data_path.put(os.path.join(bcs_st[\"Log Directory\"], bcs_st[\"Last Filename\"]))\n",
    "                # print(f\"{self.data_path.get() =}\")\n",
    "                self.done.put(True)\n",
    "                self.busy.put(False)\n",
    "                \n",
    "        def check_value(*, old_value, value, **kwargs):\n",
    "            \"Return True when the acquisition is complete, False otherwise.\"\n",
    "            return (value and not old_value)\n",
    "        \n",
    "        status = SubscriptionStatus(self.done, check_value)\n",
    "        \n",
    "        self.execute_scan.put(True)\n",
    "        self._bcs.sc_single_motor_scan(\n",
    "            x_motor=self.motor_name.get(), \n",
    "            start=self.first_value.get(), \n",
    "            stop=self.last_value.get(), \n",
    "            increment=self.step_value.get(), \n",
    "            delay_after_move_s=self.delay_sec.get(), \n",
    "            count_time_s=self.count_sec.get(), \n",
    "            number_of_scans=self.num_scans.get(),\n",
    "            bidirect=self.bidirectional.get(),\n",
    "            at_end_of_scan=self.final_move.get(), \n",
    "            description=self.memo.get(),\n",
    "            file_pattern=self.filename_pattern.get(),\n",
    "            )\n",
    "        self.busy.put(True)\n",
    "        self.done.put(False)\n",
    "        # Give the scanner time to start\n",
    "        time.sleep(1)  # TODO: Is this needed?\n",
    "        self.execute_scan.put(False)\n",
    "        acquire_task = asyncio.create_task(check_for_acquire_done(self))\n",
    "        # acquire_task.add_done_callback()\n",
    "        \n",
    "        return status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "ssM201Roll = BcsSingleMotorScan(\"BCS402:\", name=\"ssM201Roll\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "ssM201Roll.scan_setup(\n",
    "        bcs_server=bl402bcs, \n",
    "        motor=\"M201 Roll\", start=0., stop=-0.14, step=-0.02, \n",
    "        delay=0., count=0.1,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BcsSingleMotorScanTuple(motor_name='M201 Roll', first_value=0.0, last_value=-0.14, step_value=-0.02, delay_sec=0.0, count_sec=0.1, num_scans=1, bidirectional=False, final_move='Stay', memo='', filename_pattern='*.txt', ready=True, busy=False, done=True, execute_scan=True, data_path='')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssM201Roll.get()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Usying sycnchronous BCSs library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SubscriptionStatus(device=ssM201Roll_done, done=False, success=False)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssM201Roll.set(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... Scan is finshed!\n",
      "... "
     ]
    }
   ],
   "source": [
    "# Wait for scan to finish\n",
    "while ssM201Roll.busy.get():\n",
    "    await asyncio.sleep(0.5)\n",
    "    print(\"...\", end=' ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssM201Roll.busy.get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssM201Roll.done.get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Beamline Controls\\\\BCS Setup Data\\\\210921\\\\Single Motor Scan 000050.txt'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssM201Roll.data_path.get()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Helper functions for converting BCS data to Bluesky event model data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bcs_events import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "import event_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ophyd flyer to run BCS Single Motor Scan as a Bluesky \"flying\" scan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "class BcsSigScanFlyer(FlyerInterface, BcsSingleMotorScan):\n",
    "    '''Example of BCS Single Motor Scan accessed through Bluesky'''\n",
    "    \n",
    "    yield_array_events = Component(Signal, kind=\"config\", value=False)\n",
    "\n",
    "    def __init__(self, *args, **kwargs):\n",
    "        self._acquiring = False\n",
    "        self._paused = False\n",
    "\n",
    "        super().__init__(*args, **kwargs)\n",
    "        \n",
    "    def stage(self):\n",
    "        super().stage()\n",
    "        # self.select_channels()\n",
    "\n",
    "    def unstage(self):\n",
    "        super().unstage()\n",
    "        # self.select_channels()\n",
    "\n",
    "    def read_configuration(self):\n",
    "        return {}\n",
    "\n",
    "    def describe_configuration(self):\n",
    "        return {}\n",
    "\n",
    "    def kickoff(self):\n",
    "        \"\"\"Start the scan.\"\"\"\n",
    "        self.stage()\n",
    "        time.sleep(0.1)\n",
    "\n",
    "        # Check for currently running scan\n",
    "        bcs_st = self._bcs.scan_status()\n",
    "        if bcs_st[\"running_scan\"]:\n",
    "            raise RuntimeError(\"Cannot start scan. Another scan is already running.\")\n",
    "        \n",
    "        self.set(1)\n",
    "        self._acquiring = True\n",
    "        self._paused = False\n",
    "\n",
    "        status = DeviceStatus(self)\n",
    "        status.set_finished()  # means that kickoff was successful\n",
    "        return status\n",
    "\n",
    "    def complete(self):\n",
    "        \"\"\"Wait for sscan to complete.\"\"\"\n",
    "        logging.info(\"complete() starting\")\n",
    "        if not self._acquiring:\n",
    "            raise RuntimeError(\"Not acquiring\")\n",
    "\n",
    "        # status = DeviceStatus(self)\n",
    "        # cb_started = False\n",
    "\n",
    "        def is_scan_complete(*, old_value, value, **kwargs):\n",
    "            \"Return True when the acquisition is complete, False otherwise.\"\n",
    "            # value = bool(value)\n",
    "            if self._acquiring and value and not old_value:\n",
    "                logging.info(\"complete() ending\")\n",
    "                self.unstage()\n",
    "                self._acquiring = False\n",
    "                return True\n",
    "            return False\n",
    "\n",
    "        status = SubscriptionStatus(self.done, is_scan_complete)\n",
    "        \n",
    "        return status\n",
    "\n",
    "    def describe_collect(self):\n",
    "        \"\"\"\n",
    "        Provide schema & meta-data from collect().\n",
    "        \n",
    "        http://nsls-ii.github.io/ophyd/generated/ophyd.flyers.FlyerInterface.describe_collect.html\n",
    "        \"\"\"\n",
    "        # TODO: Add hinted signals\n",
    "        \n",
    "        ai_names = self._bcs.list_ais()['names']\n",
    "        \n",
    "        scan_motor = self.motor_name.get()\n",
    "        scan_channels = [\n",
    "            \"Time of Day\", \n",
    "            \"Time (s)\", \n",
    "            f\"{scan_motor} Goal\", \n",
    "            f\"{scan_motor} Actual\", \n",
    "            ] + ai_names\n",
    "      \n",
    "        # DataFrame enables convenience functions from 'bcs_events'\n",
    "        data_df = pd.DataFrame(columns=scan_channels)\n",
    "\n",
    "        sanitize_event_data_keys = {col: sanitize_key(col) \n",
    "            for col in data_df.columns[1:].values}\n",
    "\n",
    "        descriptor_keys = get_descriptor_keys(\n",
    "            data_df, \n",
    "            sanitize_event_data_keys,\n",
    "            data_src=\"Inferred from AI List\")\n",
    "        \n",
    "        event_stream_name = \"primary\"\n",
    "        \n",
    "        return {event_stream_name: descriptor_keys}\n",
    "\n",
    "    def collect(self):\n",
    "        \"\"\"\n",
    "        Retrieve all collected data (after complete()).\n",
    "        \n",
    "        Retrieve data from the flyer as proto-events.\n",
    "        http://nsls-ii.github.io/ophyd/generated/ophyd.flyers.FlyerInterface.collect.html\n",
    "        \"\"\"\n",
    "        if self._acquiring:\n",
    "            raise RuntimeError(\"Acquisition still in progress. Call complete() first.\")\n",
    "        \n",
    "        def get_data_from_scan(self):\n",
    "            \"\"\"Extract data from scan output file; return as PANDAS DataFrame.\"\"\"\n",
    "            file_path = self.data_path.get()\n",
    "            if not file_path:\n",
    "                raise RuntimeError(\"There is no scan data. Call kickoff() first.\")\n",
    "            \n",
    "            file_text = self._bcs.get_text_file(file_path)['text']\n",
    "\n",
    "            # Get date from BCS data file header\n",
    "            with io.StringIO(file_text) as data_file:\n",
    "                data_file_date_str = data_file.readline().strip().split(\"Date: \", 1)[1]\n",
    "                data_date = datetime.strptime(data_file_date_str, \"%m/%d/%Y\").date()\n",
    "                self._data_date = data_date\n",
    "                \n",
    "            data = io.StringIO(file_text)\n",
    "            skip_rows = find_bcs_data(data)\n",
    "            df = pd.read_csv(data, sep='\\t', skiprows=skip_rows)\n",
    "            return df\n",
    "\n",
    "        def generate_scan_data_events(self):\n",
    "            \"\"\"Get the entire scan data and yield bluesky events.\"\"\"\n",
    "            data_df = get_data_from_scan(self)\n",
    "            num_points = len(data_df)\n",
    "            \n",
    "            if self.yield_array_events.get():\n",
    "                raise NotImplementedError(\"Array events not currently supported\")\n",
    "                # TODO: Implement array event generation\n",
    "\n",
    "            # Run info will not be used by fly() plan\n",
    "            # ...enables convenience functions from 'bcs_events'\n",
    "            run_bundle = event_model.compose_run()\n",
    "            event_stream_name = 'primary'\n",
    "\n",
    "            sanitize_event_data_keys = {col: sanitize_key(col) \n",
    "                for col in data_df.columns[1:].values}\n",
    "\n",
    "            descriptor_keys = get_descriptor_keys(\n",
    "                data_df, \n",
    "                sanitize_event_data_keys,\n",
    "                data_src=self.data_path.get())\n",
    "    \n",
    "            stream_descriptor = run_bundle.compose_descriptor(\n",
    "                data_keys=descriptor_keys,\n",
    "                name=event_stream_name,\n",
    "                )\n",
    "\n",
    "            # Get date from BCS data file header\n",
    "#             with io.StringIO(self.data_path.get()) as data_file:\n",
    "#                 data_file_date_str = data_file.readline().strip().split(\"Date: \", 1)[1]\n",
    "#                 data_date = datetime.strptime(data_file_date_str, \"%m/%d/%Y\").date()\n",
    "            data_date = self._data_date\n",
    "\n",
    "            # This is only for array events\n",
    "#             data_df = add_timestamps(data_df, data_date, inplace=True)\n",
    "#             data_df.drop('Time of Day', axis=1, inplace=True)  # Redundant; have timestamps\n",
    "#             timestamp_col=\"timestamp\"\n",
    "    \n",
    "            data_df = get_timestamps(data_df, data_date, inplace=True)\n",
    "\n",
    "            def get_bundled_event(data_row):\n",
    "                return get_event(\n",
    "                    data_row, sanitize_event_data_keys, stream_descriptor)\n",
    "\n",
    "            # Pack events into an event_page\n",
    "            events = data_df.apply(get_bundled_event, axis='columns').values\n",
    "\n",
    "            # yield 'event_page', event_model.pack_event_page(*events)\n",
    "            \n",
    "            for event in events:\n",
    "                # yield 'event', event\n",
    "                yield dict(\n",
    "                    seq_num=event[\"seq_num\"],\n",
    "                    time=event[\"time\"],\n",
    "                    data=event[\"data\"],\n",
    "                    timestamps=event[\"timestamps\"],\n",
    "                )\n",
    "\n",
    "        yield from generate_scan_data_events(self)\n",
    "        self.unstage()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "fly_M201Roll = BcsSigScanFlyer(\"BCS402:\", name=\"ssflyM201Roll\")\n",
    "fly_M201Roll.scan_setup(\n",
    "        bcs_server=bl402bcs, \n",
    "        motor=\"M201 Roll\", start=0.3, stop=-0.12, step=-0.02, \n",
    "        delay=0., count=0.1,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "fly_M201Roll.data_path.put('C:\\\\Beamline Controls\\\\BCS Setup Data\\\\210913\\\\Single Motor Scan 000033.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'primary': {'Time (s)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'sec'},\n",
       "  'M201 Roll Goal': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'M201 Roll Actual': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'I0 BL': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts / sec'},\n",
       "  'I0 ES': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts / sec'},\n",
       "  'EY': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts / sec'},\n",
       "  'LY': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts / sec'},\n",
       "  'FY': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts / sec'},\n",
       "  'EY SCVM': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts / sec'},\n",
       "  'LY SCVM': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts / sec'},\n",
       "  'Clock': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts'},\n",
       "  'Original Clock': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts'},\n",
       "  'Captured Mono Energy': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'eV'},\n",
       "  'Energy': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'eV'},\n",
       "  'Polarization': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'Beam Current': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mA'},\n",
       "  'Temp A': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'K'},\n",
       "  'Temp B': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'K'},\n",
       "  'Temp HT': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'K'},\n",
       "  'X': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'Y': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'Z': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'Theta': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'degrees'},\n",
       "  'M206 Pitch': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'I0 BL Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'nA / V'},\n",
       "  'I0 ES Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'nA / V'},\n",
       "  'EY Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'nA / V'},\n",
       "  'LY Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'nA / V'},\n",
       "  'FY Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'nA / V'},\n",
       "  'EY SCVM Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'nA / V'},\n",
       "  'LY SCVM Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'nA / V'},\n",
       "  'EPU Energy': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'eV'},\n",
       "  'EPU Gap': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'EPU Phase': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'EPU A': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'EPU B': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'EPU Harmonic': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'Mono Energy': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'eV'},\n",
       "  'Grating Posn': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Grating Goal': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Grating Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Premirror Posn': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Premirror Goal': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Premirror Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Premirror Stepper': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts'},\n",
       "  'Premirror Stepper div 2': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts'},\n",
       "  'Premirror Encoder': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts'},\n",
       "  'Grating Stepper': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts'},\n",
       "  'Grating Stepper div 2': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts'},\n",
       "  'Grating Encoder': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts'},\n",
       "  'Grating Posn Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Premirror Posn Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Jack Posn': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Gate': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'Gate 2': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'EPU Gap from Delta Tau': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'EPU Set Vert Velocity': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm / sec'},\n",
       "  'EPU Set Horiz Velocity': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm / sec'},\n",
       "  'bl_input': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'bl_input_h': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'A Phase': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'B Phase': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'Captured Grating': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Captured Premirror': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Captured Jack': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Captured EPU Gap': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'mm'},\n",
       "  'Goal Premirror': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'OOP Mono Energy': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'eV'},\n",
       "  'OOP Grating': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'OOP Premirror': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'OOP Jack': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'OOP Energy Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'eV'},\n",
       "  'OOP Grating Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'OOP Premirror Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Goal Premirror Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Entrance Slit Width': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'Exit Slit Width': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'um'},\n",
       "  'LabVIEW Memory': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'EPU Gap in position': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'EPU Z in position': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'LY SCVM (Original)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': 'counts / sec'},\n",
       "  'C2 U2': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'C2 U3': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'C2 U4': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'C2 U5': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''},\n",
       "  'C2 U6': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [],\n",
       "   'units': ''}}}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fly_M201Roll.describe_collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "{'seq_num': 2, 'time': 1632234869.2325387, 'data': {'Time (s)': 8.086, 'M201 Roll Goal': -0.02, 'M201 Roll Actual': -0.0195, 'I0 BL': 580.0, 'I0 ES': 0.0, 'EY': 1460.0, 'LY': 0.0, 'FY': 0.0, 'EY SCVM': 0.0, 'LY SCVM': 0.0, 'Clock': 100000.0, 'Original Clock': 0.0, 'Captured Mono Energy': 699.98718231, 'Energy': 699.84457776, 'Polarization': 0.0, 'Beam Current': -0.11576335, 'Temp A': 0.0, 'Temp B': 0.0, 'Temp HT': 0.0, 'X': -0.5, 'Y': 9.0, 'Z': 0.01492063, 'Theta': -90.002, 'M206 Pitch': 5.76, 'I0 BL Amp (nA)': 1.0, 'I0 ES Amp (nA)': 2.0, 'EY Amp (nA)': 0.2, 'LY Amp (nA)': 0.5, 'FY Amp (nA)': -1000.0, 'EY SCVM Amp (nA)': 5.0, 'LY SCVM Amp (nA)': 5.0, 'EPU Energy': 1984.032, 'EPU Gap': 100.99997187, 'EPU Phase': 0.01600859, 'EPU A': 8.59e-06, 'EPU B': -1.743e-05, 'EPU Harmonic': 3.0, 'Mono Energy': 699.84457776, 'Grating Posn': 29206.25, 'Grating Goal': 29204.60637376, 'Grating Error': 184.5, 'Premirror Posn': 26750.68, 'Premirror Goal': 26750.25360588, 'Premirror Error': -55.5, 'Premirror Stepper': -9889425.0, 'Premirror Stepper div 2': -4944712.5, 'Premirror Encoder': -4944661.0, 'Grating Stepper': -10990781.0, 'Grating Stepper div 2': -5495390.5, 'Grating Encoder': -5495575.0, 'Grating Posn Error': 1.64362624, 'Premirror Posn Error': 0.42639412, 'Jack Posn': -931.68, 'Gate': 0.0, 'Gate 2': 0.0, 'EPU Gap from Delta Tau': 101.0, 'EPU Set Vert Velocity': 3.0, 'EPU Set Horiz Velocity': 16.7, 'bl_input': 99.8834864, 'bl_input_h': 0.01795768, 'A Phase': 8.59e-06, 'B Phase': -1.743e-05, 'Captured Grating': 29205.3520398, 'Captured Premirror': 26751.19960199, 'Captured Jack': -931.68, 'Captured EPU Gap': 101.0, 'Goal Premirror': 26751.10830512, 'OOP Mono Energy': 699.95, 'OOP Grating': 29206.39003111, 'OOP Premirror': 26751.93965133, 'OOP Jack': -931.97526296, 'OOP Energy Error': 0.08718231, 'OOP Grating Error': -2.06133297, 'OOP Premirror Error': -1.55702395, 'Goal Premirror Error': 0.09129687, 'Entrance Slit Width': 40.0, 'Exit Slit Width': 39.9975, 'LabVIEW Memory': 2217276.0, 'EPU Gap in position': 1.0, 'EPU Z in position': 1.0, 'LY SCVM (Original)': 0.0, 'C2 U2': 0.0, 'C2 U3': 0.0, 'C2 U4': 0.0, 'C2 U5': 0.0, 'C2 U6': 0.0}, 'timestamps': {'Time (s)': 1631569267.0, 'M201 Roll Goal': 1631569267.0, 'M201 Roll Actual': 1631569267.0, 'I0 BL': 1631569267.0, 'I0 ES': 1631569267.0, 'EY': 1631569267.0, 'LY': 1631569267.0, 'FY': 1631569267.0, 'EY SCVM': 1631569267.0, 'LY SCVM': 1631569267.0, 'Clock': 1631569267.0, 'Original Clock': 1631569267.0, 'Captured Mono Energy': 1631569267.0, 'Energy': 1631569267.0, 'Polarization': 1631569267.0, 'Beam Current': 1631569267.0, 'Temp A': 1631569267.0, 'Temp B': 1631569267.0, 'Temp HT': 1631569267.0, 'X': 1631569267.0, 'Y': 1631569267.0, 'Z': 1631569267.0, 'Theta': 1631569267.0, 'M206 Pitch': 1631569267.0, 'I0 BL Amp (nA)': 1631569267.0, 'I0 ES Amp (nA)': 1631569267.0, 'EY Amp (nA)': 1631569267.0, 'LY Amp (nA)': 1631569267.0, 'FY Amp (nA)': 1631569267.0, 'EY SCVM Amp (nA)': 1631569267.0, 'LY SCVM Amp (nA)': 1631569267.0, 'EPU Energy': 1631569267.0, 'EPU Gap': 1631569267.0, 'EPU Phase': 1631569267.0, 'EPU A': 1631569267.0, 'EPU B': 1631569267.0, 'EPU Harmonic': 1631569267.0, 'Mono Energy': 1631569267.0, 'Grating Posn': 1631569267.0, 'Grating Goal': 1631569267.0, 'Grating Error': 1631569267.0, 'Premirror Posn': 1631569267.0, 'Premirror Goal': 1631569267.0, 'Premirror Error': 1631569267.0, 'Premirror Stepper': 1631569267.0, 'Premirror Stepper div 2': 1631569267.0, 'Premirror Encoder': 1631569267.0, 'Grating Stepper': 1631569267.0, 'Grating Stepper div 2': 1631569267.0, 'Grating Encoder': 1631569267.0, 'Grating Posn Error': 1631569267.0, 'Premirror Posn Error': 1631569267.0, 'Jack Posn': 1631569267.0, 'Gate': 1631569267.0, 'Gate 2': 1631569267.0, 'EPU Gap from Delta Tau': 1631569267.0, 'EPU Set Vert Velocity': 1631569267.0, 'EPU Set Horiz Velocity': 1631569267.0, 'bl_input': 1631569267.0, 'bl_input_h': 1631569267.0, 'A Phase': 1631569267.0, 'B Phase': 1631569267.0, 'Captured Grating': 1631569267.0, 'Captured Premirror': 1631569267.0, 'Captured Jack': 1631569267.0, 'Captured EPU Gap': 1631569267.0, 'Goal Premirror': 1631569267.0, 'OOP Mono Energy': 1631569267.0, 'OOP Grating': 1631569267.0, 'OOP Premirror': 1631569267.0, 'OOP Jack': 1631569267.0, 'OOP Energy Error': 1631569267.0, 'OOP Grating Error': 1631569267.0, 'OOP Premirror Error': 1631569267.0, 'Goal Premirror Error': 1631569267.0, 'Entrance Slit Width': 1631569267.0, 'Exit Slit Width': 1631569267.0, 'LabVIEW Memory': 1631569267.0, 'EPU Gap in position': 1631569267.0, 'EPU Z in position': 1631569267.0, 'LY SCVM (Original)': 1631569267.0, 'C2 U2': 1631569267.0, 'C2 U3': 1631569267.0, 'C2 U4': 1631569267.0, 'C2 U5': 1631569267.0, 'C2 U6': 1631569267.0}}\n",
      "{'seq_num': 3, 'time': 1632234869.2325387, 'data': {'Time (s)': 11.877, 'M201 Roll Goal': -0.04, 'M201 Roll Actual': -0.03975, 'I0 BL': 560.0, 'I0 ES': 0.0, 'EY': 1410.0, 'LY': 0.0, 'FY': 0.0, 'EY SCVM': 0.0, 'LY SCVM': 0.0, 'Clock': 100000.0, 'Original Clock': 0.0, 'Captured Mono Energy': 699.98718231, 'Energy': 699.84426097, 'Polarization': 0.0, 'Beam Current': -0.12975057, 'Temp A': 0.0, 'Temp B': 0.0, 'Temp HT': 0.0, 'X': -0.5, 'Y': 9.0, 'Z': 0.01492063, 'Theta': -90.002, 'M206 Pitch': 5.76, 'I0 BL Amp (nA)': 1.0, 'I0 ES Amp (nA)': 2.0, 'EY Amp (nA)': 0.2, 'LY Amp (nA)': 0.5, 'FY Amp (nA)': -1000.0, 'EY SCVM Amp (nA)': 5.0, 'LY SCVM Amp (nA)': 5.0, 'EPU Energy': 1984.032, 'EPU Gap': 100.99997187, 'EPU Phase': 0.01600859, 'EPU A': 8.59e-06, 'EPU B': -1.743e-05, 'EPU Harmonic': 3.0, 'Mono Energy': 699.84426097, 'Grating Posn': 29206.25, 'Grating Goal': 29204.60637376, 'Grating Error': 184.5, 'Premirror Posn': 26750.71, 'Premirror Goal': 26750.25360588, 'Premirror Error': -51.5, 'Premirror Stepper': -9889425.0, 'Premirror Stepper div 2': -4944712.5, 'Premirror Encoder': -4944658.0, 'Grating Stepper': -10990781.0, 'Grating Stepper div 2': -5495390.5, 'Grating Encoder': -5495575.0, 'Grating Posn Error': 1.64362624, 'Premirror Posn Error': 0.45639412, 'Jack Posn': -931.68, 'Gate': 0.0, 'Gate 2': 0.0, 'EPU Gap from Delta Tau': 101.0, 'EPU Set Vert Velocity': 3.0, 'EPU Set Horiz Velocity': 16.7, 'bl_input': 99.8834864, 'bl_input_h': 0.01795768, 'A Phase': 8.59e-06, 'B Phase': -1.743e-05, 'Captured Grating': 29205.3520398, 'Captured Premirror': 26751.19960199, 'Captured Jack': -931.68, 'Captured EPU Gap': 101.0, 'Goal Premirror': 26751.10830512, 'OOP Mono Energy': 699.95, 'OOP Grating': 29206.39003111, 'OOP Premirror': 26751.93965133, 'OOP Jack': -931.97526296, 'OOP Energy Error': 0.08718231, 'OOP Grating Error': -2.06133297, 'OOP Premirror Error': -1.55702395, 'Goal Premirror Error': 0.09129687, 'Entrance Slit Width': 40.0, 'Exit Slit Width': 39.9975, 'LabVIEW Memory': 2228524.0, 'EPU Gap in position': 1.0, 'EPU Z in position': 1.0, 'LY SCVM (Original)': 0.0, 'C2 U2': 0.0, 'C2 U3': 0.0, 'C2 U4': 0.0, 'C2 U5': 0.0, 'C2 U6': 0.0}, 'timestamps': {'Time (s)': 1631569271.0, 'M201 Roll Goal': 1631569271.0, 'M201 Roll Actual': 1631569271.0, 'I0 BL': 1631569271.0, 'I0 ES': 1631569271.0, 'EY': 1631569271.0, 'LY': 1631569271.0, 'FY': 1631569271.0, 'EY SCVM': 1631569271.0, 'LY SCVM': 1631569271.0, 'Clock': 1631569271.0, 'Original Clock': 1631569271.0, 'Captured Mono Energy': 1631569271.0, 'Energy': 1631569271.0, 'Polarization': 1631569271.0, 'Beam Current': 1631569271.0, 'Temp A': 1631569271.0, 'Temp B': 1631569271.0, 'Temp HT': 1631569271.0, 'X': 1631569271.0, 'Y': 1631569271.0, 'Z': 1631569271.0, 'Theta': 1631569271.0, 'M206 Pitch': 1631569271.0, 'I0 BL Amp (nA)': 1631569271.0, 'I0 ES Amp (nA)': 1631569271.0, 'EY Amp (nA)': 1631569271.0, 'LY Amp (nA)': 1631569271.0, 'FY Amp (nA)': 1631569271.0, 'EY SCVM Amp (nA)': 1631569271.0, 'LY SCVM Amp (nA)': 1631569271.0, 'EPU Energy': 1631569271.0, 'EPU Gap': 1631569271.0, 'EPU Phase': 1631569271.0, 'EPU A': 1631569271.0, 'EPU B': 1631569271.0, 'EPU Harmonic': 1631569271.0, 'Mono Energy': 1631569271.0, 'Grating Posn': 1631569271.0, 'Grating Goal': 1631569271.0, 'Grating Error': 1631569271.0, 'Premirror Posn': 1631569271.0, 'Premirror Goal': 1631569271.0, 'Premirror Error': 1631569271.0, 'Premirror Stepper': 1631569271.0, 'Premirror Stepper div 2': 1631569271.0, 'Premirror Encoder': 1631569271.0, 'Grating Stepper': 1631569271.0, 'Grating Stepper div 2': 1631569271.0, 'Grating Encoder': 1631569271.0, 'Grating Posn Error': 1631569271.0, 'Premirror Posn Error': 1631569271.0, 'Jack Posn': 1631569271.0, 'Gate': 1631569271.0, 'Gate 2': 1631569271.0, 'EPU Gap from Delta Tau': 1631569271.0, 'EPU Set Vert Velocity': 1631569271.0, 'EPU Set Horiz Velocity': 1631569271.0, 'bl_input': 1631569271.0, 'bl_input_h': 1631569271.0, 'A Phase': 1631569271.0, 'B Phase': 1631569271.0, 'Captured Grating': 1631569271.0, 'Captured Premirror': 1631569271.0, 'Captured Jack': 1631569271.0, 'Captured EPU Gap': 1631569271.0, 'Goal Premirror': 1631569271.0, 'OOP Mono Energy': 1631569271.0, 'OOP Grating': 1631569271.0, 'OOP Premirror': 1631569271.0, 'OOP Jack': 1631569271.0, 'OOP Energy Error': 1631569271.0, 'OOP Grating Error': 1631569271.0, 'OOP Premirror Error': 1631569271.0, 'Goal Premirror Error': 1631569271.0, 'Entrance Slit Width': 1631569271.0, 'Exit Slit Width': 1631569271.0, 'LabVIEW Memory': 1631569271.0, 'EPU Gap in position': 1631569271.0, 'EPU Z in position': 1631569271.0, 'LY SCVM (Original)': 1631569271.0, 'C2 U2': 1631569271.0, 'C2 U3': 1631569271.0, 'C2 U4': 1631569271.0, 'C2 U5': 1631569271.0, 'C2 U6': 1631569271.0}}\n",
      "{'seq_num': 4, 'time': 1632234869.2335382, 'data': {'Time (s)': 15.626, 'M201 Roll Goal': -0.06, 'M201 Roll Actual': -0.06, 'I0 BL': 570.0, 'I0 ES': 0.0, 'EY': 1440.0, 'LY': 0.0, 'FY': 0.0, 'EY SCVM': 0.0, 'LY SCVM': 0.0, 'Clock': 100001.0, 'Original Clock': 0.0, 'Captured Mono Energy': 699.98718231, 'Energy': 699.84559517, 'Polarization': 0.0, 'Beam Current': -0.128479, 'Temp A': 0.0, 'Temp B': 0.0, 'Temp HT': 0.0, 'X': -0.5, 'Y': 9.0, 'Z': 0.01492063, 'Theta': -90.002, 'M206 Pitch': 5.76, 'I0 BL Amp (nA)': 1.0, 'I0 ES Amp (nA)': 2.0, 'EY Amp (nA)': 0.2, 'LY Amp (nA)': 0.5, 'FY Amp (nA)': -1000.0, 'EY SCVM Amp (nA)': 5.0, 'LY SCVM Amp (nA)': 5.0, 'EPU Energy': 1984.032, 'EPU Gap': 100.99997187, 'EPU Phase': 0.01600859, 'EPU A': 8.59e-06, 'EPU B': -1.743e-05, 'EPU Harmonic': 3.0, 'Mono Energy': 699.84559517, 'Grating Posn': 29206.25, 'Grating Goal': 29204.60637376, 'Grating Error': 184.5, 'Premirror Posn': 26750.71, 'Premirror Goal': 26750.25360588, 'Premirror Error': -54.5, 'Premirror Stepper': -9889425.0, 'Premirror Stepper div 2': -4944712.5, 'Premirror Encoder': -4944658.0, 'Grating Stepper': -10990781.0, 'Grating Stepper div 2': -5495390.5, 'Grating Encoder': -5495575.0, 'Grating Posn Error': 1.64362624, 'Premirror Posn Error': 0.45639412, 'Jack Posn': -931.68, 'Gate': 0.0, 'Gate 2': 0.0, 'EPU Gap from Delta Tau': 101.0, 'EPU Set Vert Velocity': 3.0, 'EPU Set Horiz Velocity': 16.7, 'bl_input': 99.8834864, 'bl_input_h': 0.01795768, 'A Phase': 8.59e-06, 'B Phase': -1.743e-05, 'Captured Grating': 29205.3520398, 'Captured Premirror': 26751.19960199, 'Captured Jack': -931.68, 'Captured EPU Gap': 101.0, 'Goal Premirror': 26751.10830512, 'OOP Mono Energy': 699.95, 'OOP Grating': 29206.39003111, 'OOP Premirror': 26751.93965133, 'OOP Jack': -931.97526296, 'OOP Energy Error': 0.08718231, 'OOP Grating Error': -2.06133297, 'OOP Premirror Error': -1.55702395, 'Goal Premirror Error': 0.09129687, 'Entrance Slit Width': 40.0, 'Exit Slit Width': 39.9975, 'LabVIEW Memory': 2217260.0, 'EPU Gap in position': 1.0, 'EPU Z in position': 1.0, 'LY SCVM (Original)': 0.0, 'C2 U2': 0.0, 'C2 U3': 0.0, 'C2 U4': 0.0, 'C2 U5': 0.0, 'C2 U6': 0.0}, 'timestamps': {'Time (s)': 1631569275.0, 'M201 Roll Goal': 1631569275.0, 'M201 Roll Actual': 1631569275.0, 'I0 BL': 1631569275.0, 'I0 ES': 1631569275.0, 'EY': 1631569275.0, 'LY': 1631569275.0, 'FY': 1631569275.0, 'EY SCVM': 1631569275.0, 'LY SCVM': 1631569275.0, 'Clock': 1631569275.0, 'Original Clock': 1631569275.0, 'Captured Mono Energy': 1631569275.0, 'Energy': 1631569275.0, 'Polarization': 1631569275.0, 'Beam Current': 1631569275.0, 'Temp A': 1631569275.0, 'Temp B': 1631569275.0, 'Temp HT': 1631569275.0, 'X': 1631569275.0, 'Y': 1631569275.0, 'Z': 1631569275.0, 'Theta': 1631569275.0, 'M206 Pitch': 1631569275.0, 'I0 BL Amp (nA)': 1631569275.0, 'I0 ES Amp (nA)': 1631569275.0, 'EY Amp (nA)': 1631569275.0, 'LY Amp (nA)': 1631569275.0, 'FY Amp (nA)': 1631569275.0, 'EY SCVM Amp (nA)': 1631569275.0, 'LY SCVM Amp (nA)': 1631569275.0, 'EPU Energy': 1631569275.0, 'EPU Gap': 1631569275.0, 'EPU Phase': 1631569275.0, 'EPU A': 1631569275.0, 'EPU B': 1631569275.0, 'EPU Harmonic': 1631569275.0, 'Mono Energy': 1631569275.0, 'Grating Posn': 1631569275.0, 'Grating Goal': 1631569275.0, 'Grating Error': 1631569275.0, 'Premirror Posn': 1631569275.0, 'Premirror Goal': 1631569275.0, 'Premirror Error': 1631569275.0, 'Premirror Stepper': 1631569275.0, 'Premirror Stepper div 2': 1631569275.0, 'Premirror Encoder': 1631569275.0, 'Grating Stepper': 1631569275.0, 'Grating Stepper div 2': 1631569275.0, 'Grating Encoder': 1631569275.0, 'Grating Posn Error': 1631569275.0, 'Premirror Posn Error': 1631569275.0, 'Jack Posn': 1631569275.0, 'Gate': 1631569275.0, 'Gate 2': 1631569275.0, 'EPU Gap from Delta Tau': 1631569275.0, 'EPU Set Vert Velocity': 1631569275.0, 'EPU Set Horiz Velocity': 1631569275.0, 'bl_input': 1631569275.0, 'bl_input_h': 1631569275.0, 'A Phase': 1631569275.0, 'B Phase': 1631569275.0, 'Captured Grating': 1631569275.0, 'Captured Premirror': 1631569275.0, 'Captured Jack': 1631569275.0, 'Captured EPU Gap': 1631569275.0, 'Goal Premirror': 1631569275.0, 'OOP Mono Energy': 1631569275.0, 'OOP Grating': 1631569275.0, 'OOP Premirror': 1631569275.0, 'OOP Jack': 1631569275.0, 'OOP Energy Error': 1631569275.0, 'OOP Grating Error': 1631569275.0, 'OOP Premirror Error': 1631569275.0, 'Goal Premirror Error': 1631569275.0, 'Entrance Slit Width': 1631569275.0, 'Exit Slit Width': 1631569275.0, 'LabVIEW Memory': 1631569275.0, 'EPU Gap in position': 1631569275.0, 'EPU Z in position': 1631569275.0, 'LY SCVM (Original)': 1631569275.0, 'C2 U2': 1631569275.0, 'C2 U3': 1631569275.0, 'C2 U4': 1631569275.0, 'C2 U5': 1631569275.0, 'C2 U6': 1631569275.0}}\n",
      "{'seq_num': 5, 'time': 1632234869.2345352, 'data': {'Time (s)': 19.468, 'M201 Roll Goal': -0.08, 'M201 Roll Actual': -0.08, 'I0 BL': 570.0, 'I0 ES': 0.0, 'EY': 1390.0, 'LY': 0.0, 'FY': 0.0, 'EY SCVM': 0.0, 'LY SCVM': 0.0, 'Clock': 100000.0, 'Original Clock': 0.0, 'Captured Mono Energy': 699.98718231, 'Energy': 699.84524486, 'Polarization': 0.0, 'Beam Current': -0.12975057, 'Temp A': 0.0, 'Temp B': 0.0, 'Temp HT': 0.0, 'X': -0.5, 'Y': 9.0, 'Z': 0.01492063, 'Theta': -90.002, 'M206 Pitch': 5.76, 'I0 BL Amp (nA)': 1.0, 'I0 ES Amp (nA)': 2.0, 'EY Amp (nA)': 0.2, 'LY Amp (nA)': 0.5, 'FY Amp (nA)': -1000.0, 'EY SCVM Amp (nA)': 5.0, 'LY SCVM Amp (nA)': 5.0, 'EPU Energy': 1984.032, 'EPU Gap': 100.99997187, 'EPU Phase': 0.01600859, 'EPU A': 8.59e-06, 'EPU B': -1.743e-05, 'EPU Harmonic': 3.0, 'Mono Energy': 699.84524486, 'Grating Posn': 29206.25, 'Grating Goal': 29204.60637376, 'Grating Error': 184.5, 'Premirror Posn': 26750.73, 'Premirror Goal': 26750.25360588, 'Premirror Error': -54.5, 'Premirror Stepper': -9889425.0, 'Premirror Stepper div 2': -4944712.5, 'Premirror Encoder': -4944656.0, 'Grating Stepper': -10990781.0, 'Grating Stepper div 2': -5495390.5, 'Grating Encoder': -5495575.0, 'Grating Posn Error': 1.64362624, 'Premirror Posn Error': 0.47639412, 'Jack Posn': -931.68, 'Gate': 0.0, 'Gate 2': 0.0, 'EPU Gap from Delta Tau': 101.0, 'EPU Set Vert Velocity': 3.0, 'EPU Set Horiz Velocity': 16.7, 'bl_input': 99.8834864, 'bl_input_h': 0.01795768, 'A Phase': 8.59e-06, 'B Phase': -1.743e-05, 'Captured Grating': 29205.3520398, 'Captured Premirror': 26751.19960199, 'Captured Jack': -931.68, 'Captured EPU Gap': 101.0, 'Goal Premirror': 26751.10830512, 'OOP Mono Energy': 699.95, 'OOP Grating': 29206.39003111, 'OOP Premirror': 26751.93965133, 'OOP Jack': -931.97526296, 'OOP Energy Error': 0.08718231, 'OOP Grating Error': -2.06133297, 'OOP Premirror Error': -1.55702395, 'Goal Premirror Error': 0.09129687, 'Entrance Slit Width': 40.0, 'Exit Slit Width': 39.9975, 'LabVIEW Memory': 2228532.0, 'EPU Gap in position': 1.0, 'EPU Z in position': 1.0, 'LY SCVM (Original)': 0.0, 'C2 U2': 0.0, 'C2 U3': 0.0, 'C2 U4': 0.0, 'C2 U5': 0.0, 'C2 U6': 0.0}, 'timestamps': {'Time (s)': 1631569279.0, 'M201 Roll Goal': 1631569279.0, 'M201 Roll Actual': 1631569279.0, 'I0 BL': 1631569279.0, 'I0 ES': 1631569279.0, 'EY': 1631569279.0, 'LY': 1631569279.0, 'FY': 1631569279.0, 'EY SCVM': 1631569279.0, 'LY SCVM': 1631569279.0, 'Clock': 1631569279.0, 'Original Clock': 1631569279.0, 'Captured Mono Energy': 1631569279.0, 'Energy': 1631569279.0, 'Polarization': 1631569279.0, 'Beam Current': 1631569279.0, 'Temp A': 1631569279.0, 'Temp B': 1631569279.0, 'Temp HT': 1631569279.0, 'X': 1631569279.0, 'Y': 1631569279.0, 'Z': 1631569279.0, 'Theta': 1631569279.0, 'M206 Pitch': 1631569279.0, 'I0 BL Amp (nA)': 1631569279.0, 'I0 ES Amp (nA)': 1631569279.0, 'EY Amp (nA)': 1631569279.0, 'LY Amp (nA)': 1631569279.0, 'FY Amp (nA)': 1631569279.0, 'EY SCVM Amp (nA)': 1631569279.0, 'LY SCVM Amp (nA)': 1631569279.0, 'EPU Energy': 1631569279.0, 'EPU Gap': 1631569279.0, 'EPU Phase': 1631569279.0, 'EPU A': 1631569279.0, 'EPU B': 1631569279.0, 'EPU Harmonic': 1631569279.0, 'Mono Energy': 1631569279.0, 'Grating Posn': 1631569279.0, 'Grating Goal': 1631569279.0, 'Grating Error': 1631569279.0, 'Premirror Posn': 1631569279.0, 'Premirror Goal': 1631569279.0, 'Premirror Error': 1631569279.0, 'Premirror Stepper': 1631569279.0, 'Premirror Stepper div 2': 1631569279.0, 'Premirror Encoder': 1631569279.0, 'Grating Stepper': 1631569279.0, 'Grating Stepper div 2': 1631569279.0, 'Grating Encoder': 1631569279.0, 'Grating Posn Error': 1631569279.0, 'Premirror Posn Error': 1631569279.0, 'Jack Posn': 1631569279.0, 'Gate': 1631569279.0, 'Gate 2': 1631569279.0, 'EPU Gap from Delta Tau': 1631569279.0, 'EPU Set Vert Velocity': 1631569279.0, 'EPU Set Horiz Velocity': 1631569279.0, 'bl_input': 1631569279.0, 'bl_input_h': 1631569279.0, 'A Phase': 1631569279.0, 'B Phase': 1631569279.0, 'Captured Grating': 1631569279.0, 'Captured Premirror': 1631569279.0, 'Captured Jack': 1631569279.0, 'Captured EPU Gap': 1631569279.0, 'Goal Premirror': 1631569279.0, 'OOP Mono Energy': 1631569279.0, 'OOP Grating': 1631569279.0, 'OOP Premirror': 1631569279.0, 'OOP Jack': 1631569279.0, 'OOP Energy Error': 1631569279.0, 'OOP Grating Error': 1631569279.0, 'OOP Premirror Error': 1631569279.0, 'Goal Premirror Error': 1631569279.0, 'Entrance Slit Width': 1631569279.0, 'Exit Slit Width': 1631569279.0, 'LabVIEW Memory': 1631569279.0, 'EPU Gap in position': 1631569279.0, 'EPU Z in position': 1631569279.0, 'LY SCVM (Original)': 1631569279.0, 'C2 U2': 1631569279.0, 'C2 U3': 1631569279.0, 'C2 U4': 1631569279.0, 'C2 U5': 1631569279.0, 'C2 U6': 1631569279.0}}\n"
     ]
    }
   ],
   "source": [
    "# for doc_type, doc in fly_M201Roll.collect():\n",
    "#     print(doc_type)\n",
    "#     print(doc)\n",
    "\n",
    "for event_reading in fly_M201Roll.collect():\n",
    "    print(event_reading)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run the Bluesky flying plan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "fly_M201Roll = BcsSigScanFlyer(\"BCS402:\", name=\"ssflyM201Roll\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "fly_M201Roll.scan_setup(\n",
    "        bcs_server=bl402bcs, \n",
    "        motor=\"M201 Roll\", start=0.3, stop=-0.3, step=-0.02, \n",
    "        delay=0., count=0.1,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BcsSigScanFlyerTuple(motor_name='M201 Roll', first_value=0.3, last_value=-0.3, step_value=-0.02, delay_sec=0.0, count_sec=0.1, num_scans=1, bidirectional=False, final_move='Stay', memo='', filename_pattern='*.txt', ready=True, busy=False, done=True, execute_scan=True, data_path='', yield_array_events=False)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fly_M201Roll.get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Transient Scan ID: 1     Time: 2021-09-21 07:34:34\n",
      "Persistent Unique Scan ID: '1d1fc7f8-a638-452d-b399-e6b3aeaf643d'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:complete() starting\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ssflyM201Roll_done [In progress. No progress bar available.]                                                           \n",
      "Scan is finshed!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:complete() ending\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ssflyM201Roll_done [In progress. No progress bar available.]                                                           \n",
      "                                                                                                                       \n",
      "New stream: 'primary'\n",
      "+-----------+------------+\n",
      "|   seq_num |       time |\n",
      "+-----------+------------+\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\admin\\miniconda3\\envs\\bluesky\\lib\\site-packages\\event_model\\__init__.py:208: UserWarning: The document type 'bulk_events' has been deprecated in favor of 'event_page', whose structure is a transpose of 'bulk_events'.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+------------+\n",
      "generator fly ['1d1fc7f8'] (scan num: 1)\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:bluesky.RE.state:Change state on <bluesky.run_engine.RunEngine object at 0x0000020E13875EE0> from 'running' -> 'idle'\n",
      "INFO:bluesky:Cleaned up from plan <generator object fly at 0x0000020E1D3A12E0>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "('1d1fc7f8-a638-452d-b399-e6b3aeaf643d',)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from bluesky.plans import fly\n",
    "\n",
    "RE(fly([fly_M201Roll], md=dict(purpose=\"demo bluesky fly plan with BCS Single Motor step scan\")))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "'C:\\\\Beamline Controls\\\\BCS Setup Data\\\\210921\\\\Single Motor Scan 000051.txt'"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fly_M201Roll.busy.get()\n",
    "fly_M201Roll.done.get()\n",
    "fly_M201Roll.data_path.get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x20e1d5825e0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "run = db.v2[-1]\n",
    "data = run.primary.read()\n",
    "data.plot.scatter(\"M201 Roll Actual\", \"I0 BL\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x20e1d5198e0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.plot.scatter(\"M201 Roll Goal\", \"M201 Roll Actual\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x20e1d668c10>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'M201 Roll Goal')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'M201 Roll Error')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.scatter(\n",
    "    data[\"M201 Roll Goal\"], \n",
    "    data[\"M201 Roll Actual\"] - data[\"M201 Roll Goal\"],\n",
    "    );\n",
    "plt.xlabel(\"M201 Roll Goal\");\n",
    "plt.ylabel(\"M201 Roll Error\");\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Which control layer is ophyd using"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "namespace(setup=<function ophyd._pyepics_shim.setup(logger)>,\n",
       "          caput=<function epics.caput(pvname, value, wait=False, timeout=60)>,\n",
       "          caget=<function epics.caget(pvname, as_string=False, count=None, as_numpy=True, use_monitor=False, timeout=5.0)>,\n",
       "          get_pv=<function epics.pv.get_pv(pvname, form='time', connect=False, context=None, timeout=5.0, connection_callback=None, access_callback=None, callback=None, verbose=False, count=None, auto_monitor=None)>,\n",
       "          thread_class=epics.ca.CAThread,\n",
       "          name='pyepics',\n",
       "          release_pvs=<function ophyd._pyepics_shim.release_pvs(*pvs)>,\n",
       "          get_dispatcher=<function ophyd._pyepics_shim.get_dispatcher()>)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from ophyd import cl\n",
    "\n",
    "cl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}