Error with Example: Driver Laptimes Scatterplot

[MooshuBeef]

Having an error when running the example code from the Driver Laptimes Scatterplot - any ideas for what is wrong?

req         WARNING 	

DEFAULT CACHE ENABLED!
	Cache directory: /Users/username/Library/Caches/fastf1.
	Size: 476.84 MB
core           INFO 	Loading data for Azerbaijan Grand Prix - Race [v3.0.3]
req            INFO 	Using cached data for driver_info
req            INFO 	Using cached data for session_status_data
req            INFO 	Using cached data for lap_count
req            INFO 	Using cached data for track_status_data
req            INFO 	Using cached data for timing_data
req            INFO 	Using cached data for timing_app_data
core           INFO 	Processing timing data...
req            INFO 	Using cached data for car_data
req            INFO 	Using cached data for position_data
req            INFO 	Using cached data for weather_data
req            INFO 	Using cached data for race_control_messages
core           INFO 	Finished loading data for 20 drivers: ['11', '1', '16', '14', '55', '44', '18', '63', '4', '22', '81', '23', '20', '10', '31', '2', '27', '77', '24', '21']
Traceback (most recent call last):
  File "/Users/username/PycharmProjects/pythonProject/plot_driver_laptimes copy.py", line 35, in <module>
    sns.scatterplot(data=driver_laps,
  File "/Users/username/PycharmProjects/pythonProject/venv/lib/python3.11/site-packages/seaborn/relational.py", line 754, in scatterplot
    p._attach(ax)
  File "/Users/username/PycharmProjects/pythonProject/venv/lib/python3.11/site-packages/seaborn/_oldcore.py", line 1262, in _attach
    converter.update_units(seed_data)
  File "/Users/username/PycharmProjects/pythonProject/venv/lib/python3.11/site-packages/matplotlib/axis.py", line 1669, in update_units
    converter = munits.registry.get_converter(data)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/username/PycharmProjects/pythonProject/venv/lib/python3.11/site-packages/timple/patches.py", line 120, in get_converter
    x = x[~mask]
        ~^^^^^^^
TypeError: only integer scalar arrays can be converted to a scalar index

Process finished with exit code 1

Here's the associated script

"""Driver Laptimes Scatterplot
==============================

Plot a driver's lap times in a race, with color coding for the compounds.
"""

import fastf1
import fastf1.plotting
import seaborn as sns
from matplotlib import pyplot as plt

# The misc_mpl_mods option enables minor grid lines which clutter the plot
fastf1.plotting.setup_mpl(misc_mpl_mods=False)

###############################################################################
# Load the race session.

race = fastf1.get_session(2023, "Azerbaijan", 'R')
race.load()

###############################################################################
# Get all the laps for a single driver.
# Filter out slow laps as they distort the graph axis.

driver_laps = race.laps.pick_driver("ALO").pick_quicklaps().reset_index()

###############################################################################
# Make the scattterplot using lap number as x-axis and lap time as y-axis.
# Marker colors correspond to the compounds used.
# Note: as LapTime is represented by timedelta, calling setup_mpl earlier
# is required.

fig, ax = plt.subplots(figsize=(8, 8))

sns.scatterplot(data=driver_laps,
                x="LapNumber",
                y="LapTime",
                ax=ax,
                hue="Compound",
                palette=fastf1.plotting.COMPOUND_COLORS,
                s=80,
                linewidth=0,
                legend='auto')
# sphinx_gallery_defer_figures

###############################################################################
# Make the plot more aesthetic.
ax.set_xlabel("Lap Number")
ax.set_ylabel("Lap Time")

# The y-axis increases from bottom to top by default
# Since we are plotting time, it makes sense to invert the axis
ax.invert_yaxis()
plt.suptitle("Alonso Laptimes in the 2023 Azerbaijan Grand Prix")

# Turn on major grid lines
plt.grid(color='w', which='major', axis='both')
sns.despine(left=True, bottom=True)

plt.tight_layout()
plt.show()

[MooshuBeef]

OK so looks like there are a couple things that need to be changed, but the main issue was that:

Was missing these two lines:

Converting time delta to float in seconds
driver_laps["LapTime(s)"] = driver_laps["LapTime"].dt.total_seconds()

Then during the scatterplot, calling that converted data
y="LapTime(s)",

[MooshuBeef]

So with the following I get a plot now but want to convert it to MM:SS time:

==============================

Plot a driver's lap times in a race, with color coding for the compounds.
"""

import fastf1
import fastf1.plotting
import seaborn as sns
from matplotlib import pyplot as plt

# The misc_mpl_mods option enables minor grid lines which clutter the plot
fastf1.plotting.setup_mpl(misc_mpl_mods=False)

###############################################################################
# Load the race session.

race = fastf1.get_session(2023, "Azerbaijan", 'R')
race.load()

###############################################################################
# Get all the laps for a single driver.
# Filter out slow laps as they distort the graph axis.

driver_laps = race.laps.pick_driver("ALO").pick_quicklaps().reset_index()

###############################################################################
# Seaborn doesn't have proper timedelta support
# So we have to convert timedelta to float (in seconds)
#driver_laps["LapTime(s)"] = driver_laps["LapTime"].dt.strftime('%H:%M:%S')
driver_laps["LapTime(s)"] = driver_laps["LapTime"].dt.total_seconds()


###############################################################################
# Make the scattterplot using lap number as x-axis and lap time as y-axis.
# Marker colors correspond to the compounds used.
# Note: as LapTime is represented by timedelta, calling setup_mpl earlier
# is required.

fig, ax = plt.subplots(figsize=(8, 8))

sns.scatterplot(data=driver_laps,
                x="LapNumber",
                y="LapTime(s)",
                ax=ax,
                hue="Compound",
                palette=fastf1.plotting.COMPOUND_COLORS,
                s=80,
                linewidth=0,
                legend='auto')
# sphinx_gallery_defer_figures

###############################################################################
# Make the plot more aesthetic.
ax.set_xlabel("Lap Number")
ax.set_ylabel("Lap Time")

# The y-axis increases from bottom to top by default
# Since we are plotting time, it makes sense to invert the axis
#ax.invert_yaxis()
plt.suptitle("Alonso Laptimes in the 2023 Azerbaijan Grand Prix")

# Turn on major grid lines
plt.grid(color='w', which='major', axis='both')
sns.despine(left=True, bottom=True)

plt.tight_layout()
plt.show()

[theOehrly]

This is caused by a bug in a dependency. The actual solution is to update that dependency to the latest version with pip install --upgrade timple. The next release of FastF1 will require the correct newer version.