def generate_mltr_fp_scatter(circuit_results, circuit_races, circuit_driver_standings):
"""
Mean lap time rank vs finish position scatter
:param circuit_results: Circuit results
:param circuit_races: Circuit races
:param circuit_driver_standings: Circuit driver standings
:return: Mean lap time vs finish pos scatter layout
"""
return driver.generate_mltr_fp_scatter(circuit_results, circuit_races, circuit_driver_standings, color_drivers=True)
def generate_mltr_fp_scatter(yd_results, yd_races, yd_driver_standings):
"""
Plot mean lap time vs finish position scatter plot (see `driver.generate_mltr_fp_scatter`)
:param yd_results: YD results
:param yd_races: YD races
:param yd_driver_standings: YD driver standings
:return: Mean lap time rank vs finish pos scatter plot layout
"""
return driver.generate_mltr_fp_scatter(yd_results,
yd_races,
yd_driver_standings,
include_race_labels=True)
def generate_mltr_fp_scatter(ydc_results, yd_races, yd_driver_standings):
"""
Mean lap time rank vs finish pos scatter, uses driver.generate_mltr_fp_scatter.
:param ydc_results: YDC results
:param yd_races: YD races
:param yd_driver_standings: YD driver standings
:return: Mean lap time rank vs finish pos scatter
"""
return driver.generate_mltr_fp_scatter(ydc_results,
yd_races,
yd_driver_standings,
include_race_labels=True)
def generate_mltr_fp_scatter(cd_results, cd_races, driver_driver_standings):
"""
Plot scatter of mean lap time rank (x) vs finish position (y) to get a sense of what years the driver out-drove the
car
:param cd_results: CD results
:param cd_races: CD races
:param driver_driver_standings: Driver driver standings
:return: Mean lap time rank vs finish position scatter plot layout
"""
return driver.generate_mltr_fp_scatter(cd_results,
cd_races,
driver_driver_standings,
include_year_labels=True)
def generate_mltr_fp_scatter(cc_results, cc_races, cc_driver_standings):
"""
Plot scatter of finish position vs mean lap time rank to get a sense of what years the driver out-drove the car.
Use method in `driver`
:param cc_results: CC results
:param cc_races: CC races
:param cc_driver_standings: CC driver standings
:return: Mean lap time rank vs finish pos scatter plot
"""
return driver.generate_mltr_fp_scatter(cc_results,
cc_races,
cc_driver_standings,
include_year_labels=True,
color_drivers=True)
def generate_mltr_fp_scatter(yc_results, yc_races, yc_driver_standings):
"""
Generates a plot of mean lap time rank vs finish position scatter plot (see circuitdriver.generate_mltr_fp_scatter).
:param yc_results: YC results
:param yc_races: YC races
:param yc_driver_standings: YC driver standings
:return: Mean lap time rank vs finish pos scatter
"""
kwargs = dict(
include_year_labels=False,
include_race_labels=True,
color_drivers=True
)
return driver.generate_mltr_fp_scatter(yc_results, yc_races, yc_driver_standings, **kwargs)
# WDC Position bar plot
generate_wdc_position_bar_plot = time_decorator(generate_wdc_position_bar_plot)
wdc_position_dist = generate_wdc_position_bar_plot(positions_source)
# Win/podium plot
generate_win_plot = time_decorator(generate_win_plot)
win_plot = generate_win_plot(positions_source, driver_id)
# Starting position vs finish position scatter
generate_spvfp_scatter = time_decorator(generate_spvfp_scatter)
spvfp_scatter = generate_spvfp_scatter(driver_results, driver_races,
driver_driver_standings)
# Mean lap time rank vs finish position scatter plot
generate_mltr_fp_scatter = time_decorator(generate_mltr_fp_scatter)
mltr_fp_scatter = generate_mltr_fp_scatter(driver_results, driver_races,
driver_driver_standings, driver_id)
# Team performance graph and table
generate_team_performance_layout = time_decorator(
generate_team_performance_layout)
generate_team_performance_layout(driver_races, positions_source,
driver_results)
n = drivers.index.unique().shape[0]
i = 1
for driver_id in drivers.index.unique():
try:
name = get_driver_name(driver_id, include_flag=False)
print(f"Testing driver ID {driver_id}, {name}, {i} / {n}")
i += 1