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- fixed issues where you couldn't load multiple manual CIU dataset simultaneously - fixed some issues with paths - fixed issues where you couldn't change the header/footnote information for individual plots in the interactive output panel - added colorbar option to the interactive output panel
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| # -*- coding: utf-8 -*- | ||
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| # ------------------------------------------------------------------------- | ||
| # Copyright (C) 2017 Lukasz G. Migas <lukasz.migas@manchester.ac.uk> | ||
| # | ||
| # GitHub : https://github.com/lukasz-migas/ORIGAMI | ||
| # University of Manchester IP : https://www.click2go.umip.com/i/s_w/ORIGAMI.html | ||
| # Cite : 10.1016/j.ijms.2017.08.014 | ||
| # | ||
| # This program is free software. Feel free to redistribute it and/or | ||
| # modify it under the condition you cite and credit the authors whenever | ||
| # appropriate. | ||
| # The program is distributed in the hope that it will be useful but is | ||
| # provided WITHOUT ANY WARRANTY; without even the implied warranty of | ||
| # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE | ||
| # ------------------------------------------------------------------------- | ||
|
|
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| # -*- encoding: utf-8 -*- | ||
|
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| JS_CODE = """ | ||
| # This file contains the JavaScript (CoffeeScript) implementation | ||
| # for a Bokeh custom extension. The "surface3d.py" contains the | ||
| # python counterpart. | ||
| # | ||
| # This custom model wraps one part of the third-party vis.js library: | ||
| # | ||
| # http://visjs.org/index.html | ||
| # | ||
| # Making it easy to hook up python data analytics tools (NumPy, SciPy, | ||
| # Pandas, etc.) to web presentations using the Bokeh server. | ||
| # These "require" lines are similar to python "import" statements | ||
| import * as p from "core/properties" | ||
| import {LayoutDOM, LayoutDOMView} from "models/layouts/layout_dom" | ||
| # This defines some default options for the Graph3d feature of vis.js | ||
| # See: http://visjs.org/graph3d_examples.html for more details. | ||
| OPTIONS = | ||
| width: '800px' | ||
| height: '800px' | ||
| style: 'surface' | ||
| showPerspective: true | ||
| showGrid: true | ||
| keepAspectRatio: true | ||
| verticalRatio: 1.0 | ||
| legendLabel: 'stuff' | ||
| cameraPosition: | ||
| horizontal: -0.35 | ||
| vertical: 0.22 | ||
| distance: 1.8 | ||
| # To create custom model extensions that will render on to the HTML canvas | ||
| # or into the DOM, we must create a View subclass for the model. Currently | ||
| # Bokeh models and views are based on BackBone. More information about | ||
| # using Backbone can be found here: | ||
| # | ||
| # http://backbonejs.org/ | ||
| # | ||
| # In this case we will subclass from the existing BokehJS ``LayoutDOMView``, | ||
| # corresponding to our | ||
| export class Surface3dView extends LayoutDOMView | ||
| initialize: (options) -> | ||
| super(options) | ||
| url = "https://cdnjs.cloudflare.com/ajax/libs/vis/4.16.1/vis.min.js" | ||
| script = document.createElement('script') | ||
| script.src = url | ||
| script.async = false | ||
| script.onreadystatechange = script.onload = () => @_init() | ||
| document.querySelector("head").appendChild(script) | ||
| _init: () -> | ||
| # Create a new Graph3s using the vis.js API. This assumes the vis.js has | ||
| # already been loaded (e.g. in a custom app template). In the future Bokeh | ||
| # models will be able to specify and load external scripts automatically. | ||
| # | ||
| # Backbone Views create <div> elements by default, accessible as @el. Many | ||
| # Bokeh views ignore this default <div>, and instead do things like draw | ||
| # to the HTML canvas. In this case though, we use the <div> to attach a | ||
| # Graph3d to the DOM. | ||
| @_graph = new vis.Graph3d(@el, @get_data(), OPTIONS) | ||
| # Set Backbone listener so that when the Bokeh data source has a change | ||
| # event, we can process the new data | ||
| @connect(@model.data_source.change, () => | ||
| @_graph.setData(@get_data()) | ||
| ) | ||
| # This is the callback executed when the Bokeh data has an change. Its basic | ||
| # function is to adapt the Bokeh data source to the vis.js DataSet format. | ||
| get_data: () -> | ||
| data = new vis.DataSet() | ||
| source = @model.data_source | ||
| for i in [0...source.get_length()] | ||
| data.add({ | ||
| x: source.get_column(@model.x)[i] | ||
| y: source.get_column(@model.y)[i] | ||
| z: source.get_column(@model.z)[i] | ||
| style: source.get_column(@model.color)[i] | ||
| }) | ||
| return data | ||
| # We must also create a corresponding JavaScript Backbone model sublcass to | ||
| # correspond to the python Bokeh model subclass. In this case, since we want | ||
| # an element that can position itself in the DOM according to a Bokeh layout, | ||
| # we subclass from ``LayoutDOM`` | ||
| export class Surface3d extends LayoutDOM | ||
| # This is usually boilerplate. In some cases there may not be a view. | ||
| default_view: Surface3dView | ||
| # The ``type`` class attribute should generally match exactly the name | ||
| # of the corresponding Python class. | ||
| type: "Surface3d" | ||
| # The @define block adds corresponding "properties" to the JS model. These | ||
| # should basically line up 1-1 with the Python model class. Most property | ||
| # types have counterparts, e.g. ``bokeh.core.properties.String`` will be | ||
| # ``p.String`` in the JS implementatin. Where the JS type system is not yet | ||
| # as rich, you can use ``p.Any`` as a "wildcard" property type. | ||
| @define { | ||
| x: [ p.String ] | ||
| y: [ p.String ] | ||
| z: [ p.String ] | ||
| color: [ p.String ] | ||
| data_source: [ p.Instance ] | ||
| } | ||
| """ | ||
|
|
||
| def prepJSCODE(self, parameters): | ||
| """ | ||
| This function produces a specific JS file for generation of 3D files | ||
| """ | ||
| print() | ||
|
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