Syntax for plotting sector times over the course of a race

[MooshuBeef]

Hi all - am struggling with syntax for being able to plot sector times over the course of a race. Ultimately I want to compare sector times of drivers on the same tire strategy over a race, but I am a noob and struggling with syntax. Would love even just basic examples of the correct syntax even if I have to call out the specific drivers. Thanks!

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('~/Documents/Formula1_python/venv/cache') # replace with your cache directory

# Setup plotting

plotting.setup_mpl()

year, grand_prix, session = 2021, 'Azerbaijan', 'R'

session = ff1.get_session(year, grand_prix, session)
session.load()


# Get the tire compounds for all drivers
tire_compounds = [driver.Compound(session.start_lap) for driver in session.drivers]

# Count the number of drivers for each tire compound
tire_counts = {}
for compound in tire_compounds:
    if compound in tire_counts:
        tire_counts[compound] += 1
    else:
        tire_counts[compound] = 1

# Plot the number of drivers for each tire compound
labels = list(tire_counts.keys())
counts = list(tire_counts.values())

fig, ax = plt.subplots(figsize=(8, 6))
ax.bar(labels, counts)
ax.set_xlabel('Tire Compound')
ax.set_ylabel('Number of Drivers')
ax.set_title('Number of Drivers by Tire Compound - Azerbaijan Grand Prix 2021')
plt.show()```

[Casper-Guo]

For strategy visualization, check out the example in my PR #372

For lap times (or sector times) visualization, #369 may be helpful.

I am using seaborn in all of my examples to get colour coding for the compounds. If you don't care for that, the equivalent in matplotlib is:

plt.scatter(x="LapNumber,
                 y="Sector1Time)

If you want to put all the drivers on the same plot:

fig, ax = plt.subplots()
for driver in drivers:
   plt.scatter(...)

If you want to separate the drivers onto different plots:

fig, axes = plt.subplots(ncols=len(drivers), sharey=True)

for i, driver in enumerate(drivers):
    axes[i].scatter(...)