DataPlotter.py

import math
from abc import ABC
from typing import List

import matplotlib.pyplot as plt
import numpy as np


from fastf1.core import Session, Lap

from DataHandler import DataHandler


class DataPlotter(DataHandler):
    def plotOvertakesWithTireChangeWindow(self, overtakesPerLap: List[int], earliestTireChange: int, latestTireChange: int, raceName: str):

        overtakesPerLap.insert(0, 0) # Insert 0th lap, which cannot have overtakes
        laps: int = len(overtakesPerLap)

        figure, axis = plt.subplots(figsize=(8.0, 4.9))

        axis.plot(overtakesPerLap)


        axis.set_xlabel('Lap')
        axis.set_ylabel('Position changes in lap')
        axis.set_title(raceName)

        major_ticks_laps = np.arange(0, laps, 5)
        major_ticks_overtakes = np.arange(0, max(overtakesPerLap) + 1, 5)
        minor_ticks_laps = np.arange(0, laps, 1)
        minor_ticks_overtakes = np.arange(0, max(overtakesPerLap) + 1, 1)

        axis.set_xticks(major_ticks_laps)
        axis.set_xticks(minor_ticks_laps, minor=True)
        axis.set_yticks(major_ticks_overtakes)
        axis.set_yticks(minor_ticks_overtakes, minor=True)

        # And a corresponding grid
        axis.grid(which='both')

        # Or if you want different settings for the grids:
        axis.grid(which='minor', alpha=0.2)
        axis.grid(which='major', alpha=0.5)


        axis.legend(bbox_to_anchor=(1.0, 1.02))
        plt.tight_layout()
        plt.show()