Issue pulling data for some sessions

[laurence9899]

Hi,
Having an issue where when I try to pull data for some sessions, I get the below error message. It only happens for some sessions, with the script I'm using working perfectly for some sessions. For instance below I am trying to pull qualifying data for the Russian Grand Prix Qualifying 2021. If I try for the 2019 Spanish Grand Prix qualifying for instance it works. I'm new to fastf1 and have just started learning it I'm very confused . Any ideas on what may the issue please? I have updated fastf1 to the latest version and am using python 3.8.
I saw someone else have an issue in these discussions where no data could be pulled by this issue appears to just apply to the lap and telemetry data on some sessions.
Error:
core INFO Loading data for Russian Grand Prix - Qualifying [v2.3.1]
api INFO Using cached data for driver_info
api INFO Using cached data for timing_data
api INFO Using cached data for timing_app_data
core INFO Processing timing data...
api INFO Using cached data for session_status_data
api INFO Using cached data for track_status_data
core WARNING Failed to load lap data!
api INFO Using cached data for car_data
api INFO Using cached data for position_data
core WARNING Failed to load telemetry data!
api INFO Using cached data for weather_data
api INFO Using cached data for race_control_messages
core INFO Finished loading data for 20 drivers: ['4', '55', '63', '44', '3', '14', '77', '18', '11', '31', '5', '10', '22', '6', '16', '7', '47', '99', '9', '33']
Traceback (most recent call last):
File "/Users/laurencehearne/Library/Mobile Documents/comappleCloudDocs/College/FYP/Phyton_Learning/Pycharm/venv/TememtryExample.py", line 27, in
laps_driver_1 = quali.laps.pick_driver(driver_1)
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/fastf1/core.py", line 1052, in laps
return self._get_property_warn_not_loaded('_laps')
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/fastf1/core.py", line 1017, in _get_property_warn_not_loaded
raise DataNotLoadedError("The data you are trying to access has not "
fastf1.core.DataNotLoadedError: The data you are trying to access has not been loaded yet. See Session.load
my Code:

import fastf1 as ff1
from fastf1 import plotting
from fastf1 import utils

from matplotlib import pyplot as plt
from matplotlib.pyplot import figure

import numpy as np
import pandas as pd
ff1.Cache.enable_cache('/Users/laurencehearne/Library/Mobile Documents/comappleCloudDocs/College/FYP/Phyton_Learning/FastF1/') # replace with your cache directory

Setup plotting

plotting.setup_mpl()

year, grand_prix, session = 2021, 'RUSSIA', 'Q'

quali = ff1.get_session(year, grand_prix, session)
quali.load() # This is new with Fastf1 v.2.2

This is how it used to be:

laps = quali.load_laps(with_telemetry=True)

driver_1, driver_2 = 'HAM', 'NOR'

Laps can now be accessed through the .laps object coming from the session

laps_driver_1 = quali.laps.pick_driver(driver_1)
laps_driver_2 = quali.laps.pick_driver(driver_2)

Select the fastest lap

fastest_driver_1 = laps_driver_1.pick_fastest()
fastest_driver_2 = laps_driver_2.pick_fastest()

Retrieve the telemetry and add the distance column

telemetry_driver_1 = fastest_driver_1.get_telemetry().add_distance()
telemetry_driver_2 = fastest_driver_2.get_telemetry().add_distance()

Make sure whe know the team name for coloring

team_driver_1 = fastest_driver_1['Team']
team_driver_2 = fastest_driver_2['Team']

Extract the delta time

delta_time, ref_tel, compare_tel = utils.delta_time(fastest_driver_1, fastest_driver_2)

plot_size = [15, 15]
plot_title = f"{quali.event.year} {quali.event.EventName} - {quali.name} - {driver_1} VS {driver_2}"
plot_ratios = [1, 3, 2, 1, 1, 2, 1]
plot_filename = plot_title.replace(" ", "") + ".png"

Make plot a bit bigger

plt.rcParams['figure.figsize'] = plot_size

Create subplots with different sizes

fig, ax = plt.subplots(7, gridspec_kw={'height_ratios': plot_ratios})

Set the plot title

ax[0].title.set_text(plot_title)

Delta line

ax[0].plot(ref_tel['Distance'], delta_time)
ax[0].axhline(0)
ax[0].set(ylabel=f"Gap to {driver_2} (s)")

Speed trace

ax[1].plot(telemetry_driver_1['Distance'], telemetry_driver_1['Speed'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[1].plot(telemetry_driver_2['Distance'], telemetry_driver_2['Speed'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[1].set(ylabel='Speed')
ax[1].legend(loc="lower right")

Throttle trace

ax[2].plot(telemetry_driver_1['Distance'], telemetry_driver_1['Throttle'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[2].plot(telemetry_driver_2['Distance'], telemetry_driver_2['Throttle'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[2].set(ylabel='Throttle')

Brake trace

ax[3].plot(telemetry_driver_1['Distance'], telemetry_driver_1['Brake'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[3].plot(telemetry_driver_2['Distance'], telemetry_driver_2['Brake'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[3].set(ylabel='Brake')

Gear trace

ax[4].plot(telemetry_driver_1['Distance'], telemetry_driver_1['nGear'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[4].plot(telemetry_driver_2['Distance'], telemetry_driver_2['nGear'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[4].set(ylabel='Gear')

RPM trace

ax[5].plot(telemetry_driver_1['Distance'], telemetry_driver_1['RPM'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[5].plot(telemetry_driver_2['Distance'], telemetry_driver_2['RPM'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[5].set(ylabel='RPM')

DRS trace

ax[6].plot(telemetry_driver_1['Distance'], telemetry_driver_1['DRS'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[6].plot(telemetry_driver_2['Distance'], telemetry_driver_2['DRS'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[6].set(ylabel='DRS')
ax[6].set(xlabel='Lap distance (meters)')

Hide x labels and tick labels for top plots and y ticks for right plots.

for a in ax.flat:
a.label_outer()

Store figure

plt.savefig(plot_filename, dpi=300)
plt.show()

[MooshuBeef]

I'm having the same issue too, even with simpler code below. Something's up with the syntax for calling the data...

from fastf1 import plotting
from matplotlib import pyplot as plt

plotting.setup_mpl()

race = fastf1.get_session(2020, 'Turkish Grand Prix', 'R')
race.load()

lec = race.laps.pick_driver('LEC')
ham = race.laps.pick_driver('HAM')

This is the key part of the output for me:

DataNotLoadedError                        Traceback (most recent call last)
Cell In[29], line 10
      7 race = fastf1.get_session(2020, 'Turkish Grand Prix', 'R')
      8 race.load()
---> 10 lec = race.laps.pick_driver('LEC')
     11 ham = race.laps.pick_driver('HAM')

File ~/Documents/Formula2_python/venv/lib/python3.11/site-packages/fastf1/core.py:1052, in Session.laps(self)
   1046 @property
   1047 def laps(self):
   1048     """:class:`Laps`: All laps from all drivers driven in this session.
   1049 
   1050     Data is available after calling `Session.load` with ``laps=True``
   1051     """
-> 1052     return self._get_property_warn_not_loaded('_laps')

File ~/Documents/Formula2_python/venv/lib/python3.11/site-packages/fastf1/core.py:1017, in Session._get_property_warn_not_loaded(self, name)
   1015 d = getattr(self, name, None)
   1016 if d is None:
-> 1017     raise DataNotLoadedError("The data you are trying to access has not "
   1018                              "been loaded yet. See `Session.load`")
   1019 return d

DataNotLoadedError: The data you are trying to access has not been loaded yet. See `Session.load`

[MooshuBeef]

I tried even following this: https://theoehrly.github.io/Fast-F1/examples/index.html#example-plot

import fastf1
import fastf1.plotting

fastf1.plotting.setup_mpl()

session = fastf1.get_session(2019, 'Monza', 'Q')

session.load()
fast_leclerc = session.laps.pick_driver('LEC').pick_fastest()
lec_car_data = fast_leclerc.get_car_data()
t = lec_car_data['Time']
vCar = lec_car_data['Speed']

# The rest is just plotting
fig, ax = plt.subplots()
ax.plot(t, vCar, label='Fast')
ax.set_xlabel('Time')
ax.set_ylabel('Speed [Km/h]')
ax.set_title('Leclerc is')
ax.legend()
plt.show()

I am getting the following output

[MooshuBeef]

OK well.... I checked my Jupyter Notebook version and saw it was on v6.5.2, and not the latest v6.5.3. Apparently the v0.0.1 made all the difference:

• Created a new python project within Jupyter Notebook
• ran your code you put after fixing the formatting since it got lost in the markdown
• Spat out this graph

Formatted Code:

from fastf1 import plotting
from fastf1 import utils

from matplotlib import pyplot as plt
from matplotlib.pyplot import figure

import numpy as np
import pandas as pd
ff1.Cache.enable_cache('/path/to/cache') # replace with your cache directory

# Setup plotting

plotting.setup_mpl()

year, grand_prix, session = 2021, 'RUSSIA', 'Q'

quali = ff1.get_session(year, grand_prix, session)
quali.load() # This is new with Fastf1 v.2.2

# This is how it used to be:

# laps = quali.load(with_telemetry=True)

driver_1, driver_2 = 'HAM', 'NOR'

# Laps can now be accessed through the .laps object coming from the session

laps_driver_1 = quali.laps.pick_driver(driver_1)
laps_driver_2 = quali.laps.pick_driver(driver_2)

# Select the fastest lap

fastest_driver_1 = laps_driver_1.pick_fastest()
fastest_driver_2 = laps_driver_2.pick_fastest()

# Retrieve the telemetry and add the distance column

telemetry_driver_1 = fastest_driver_1.get_telemetry().add_distance()
telemetry_driver_2 = fastest_driver_2.get_telemetry().add_distance()

# Make sure whe know the team name for coloring

team_driver_1 = fastest_driver_1['Team']
team_driver_2 = fastest_driver_2['Team']

# Extract the delta time

delta_time, ref_tel, compare_tel = utils.delta_time(fastest_driver_1, fastest_driver_2)

plot_size = [15, 15]
plot_title = f"{quali.event.year} {quali.event.EventName} - {quali.name} - {driver_1} VS {driver_2}"
plot_ratios = [1, 3, 2, 1, 1, 2, 1]
plot_filename = plot_title.replace(" ", "") + ".png"

# Make plot a bit bigger

plt.rcParams['figure.figsize'] = plot_size

# Create subplots with different sizes

fig, ax = plt.subplots(7, gridspec_kw={'height_ratios': plot_ratios})

# Set the plot title

ax[0].title.set_text(plot_title)

# Delta line

ax[0].plot(ref_tel['Distance'], delta_time)
ax[0].axhline(0)
ax[0].set(ylabel=f"Gap to {driver_2} (s)")

# Speed trace

ax[1].plot(telemetry_driver_1['Distance'], telemetry_driver_1['Speed'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[1].plot(telemetry_driver_2['Distance'], telemetry_driver_2['Speed'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[1].set(ylabel='Speed')
ax[1].legend(loc="lower right")

# Throttle trace

ax[2].plot(telemetry_driver_1['Distance'], telemetry_driver_1['Throttle'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[2].plot(telemetry_driver_2['Distance'], telemetry_driver_2['Throttle'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[2].set(ylabel='Throttle')

# Brake trace

ax[3].plot(telemetry_driver_1['Distance'], telemetry_driver_1['Brake'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[3].plot(telemetry_driver_2['Distance'], telemetry_driver_2['Brake'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[3].set(ylabel='Brake')

# Gear trace

ax[4].plot(telemetry_driver_1['Distance'], telemetry_driver_1['nGear'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[4].plot(telemetry_driver_2['Distance'], telemetry_driver_2['nGear'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[4].set(ylabel='Gear')

# RPM trace

ax[5].plot(telemetry_driver_1['Distance'], telemetry_driver_1['RPM'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[5].plot(telemetry_driver_2['Distance'], telemetry_driver_2['RPM'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[5].set(ylabel='RPM')

# DRS trace

ax[6].plot(telemetry_driver_1['Distance'], telemetry_driver_1['DRS'], label=driver_1,
color=ff1.plotting.team_color(team_driver_1))
ax[6].plot(telemetry_driver_2['Distance'], telemetry_driver_2['DRS'], label=driver_2,
color=ff1.plotting.team_color(team_driver_2))
ax[6].set(ylabel='DRS')
ax[6].set(xlabel='Lap distance (meters)')

# Hide x labels and tick labels for top plots and y ticks for right plots.

for a in ax.flat:
    a.label_outer()

# Store figure

plt.savefig(plot_filename, dpi=300)
plt.show()

[laurence9899]

Thanks, have upgraded Jupyter Notebook to the newest version but still has the same issue. Also have updated fastf1 to the latest version as well as pandas.

[theOehrly]

Do you get any logging output? Can you maybe create a shared notebook where I can reproduce the problem or are you using Jupyter locally?

[laurence9899]

I was previously using pycharm, but tried Jupyter just now and it's working fine, so I'll do it all in Jupyter from now on. Have you heard of any issues using pycharm before? Thanks again for your help.

[theOehrly]

You mean you were using PyCharms support for Jupyter Notebooks?