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parse_racing_reference.py
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parse_racing_reference.py
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import time
from datetime import datetime
import pandas as pd
# import requests
from bs4 import BeautifulSoup
from selenium import webdriver
from tqdm import tqdm
def get_racing_reference_schedule(season: int, series_id: str) -> pd.DataFrame:
if series_id.upper() == "W":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_cup/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
'Could not find a schedule file for the ' +
f'{season} NASCAR Cup season.'
)
# Xfinity (Busch) series
elif series_id.upper() == "B":
try:
sched_df = pd.read_csv(
'racing_reference/nascar_busch/schedule/' +
f'{season}_schedule.csv'
)
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} Xfinity (Busch) season.')
# Craftsman Truck series
elif series_id.upper() == "C":
try:
sched_df = pd.read_csv(
'racing_reference/nascar_trucks/schedule/' +
f'{season}_schedule.csv'
)
return sched_df
except Exception:
raise FileNotFoundError(
'Could not find a schedule file for the ' +
f'{season} Craftsman Truck season.'
)
# ARCA series
elif series_id.upper() == "A":
try:
sched_df = pd.read_csv(
'racing_reference/nascar_arca/schedule/' +
f'{season}_schedule.csv'
)
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} ARCA season.')
# ARCA East series
elif series_id.upper() == "P":
try:
sched_df = pd.read_csv(
'racing_reference/nascar_arca_east/schedule/' +
f'{season}_schedule.csv'
)
return sched_df
except Exception:
raise FileNotFoundError(
'Could not find a schedule file for the ' +
f'{season} ARCA East season.'
)
# ARCA West series
elif series_id.upper() == "E":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_arca_west/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} ARCA West season.')
# Modified series
elif series_id.upper() == "N":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_arca/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR Modified season.')
# NASCAR Pinty's series
elif series_id.upper() == "T":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_pintys/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR Pinty\'s season.')
# NASCAR Convertible series
elif series_id.upper() == "V":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_convertible/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR Convertible season.')
# NASCAR Grand National East series
elif series_id.upper() == "G":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_grand_national_east/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR Grand National East season.')
# NASCAR North Tour series
elif series_id.upper() == "NN":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_north_tour/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR North Tour season.')
# IndyCar Series
elif series_id.upper() == "O":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_arca/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} IndyCar season.')
# Championship Auto Racing Teams (CART)
elif series_id.upper() == "R":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_arca/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} IndyCar season.')
# United States Auto Club (USAC) Championship Car Series
elif series_id.upper() == "UO":
try:
sched_df = pd.read_csv(
f'racing_reference/usac_champ_car/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} USAC Championship Car Series season.')
# International Race of Champions (IROC)
elif series_id.upper() == "I":
try:
sched_df = pd.read_csv(
f'racing_reference/iroc/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} International Race of Champions (IROC) season.')
# Indy NXT (Indy Lights)
elif series_id.upper() == "IL":
try:
sched_df = pd.read_csv(
f'racing_reference/indy_lights/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} Indy NXT (Indy Lights) season.')
# ACT Late Model Tour
elif series_id.upper() == "AC":
try:
sched_df = pd.read_csv(
f'racing_reference/act_late_model/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} ACT Late Model Tour season.')
# A1 Grand Prix
elif series_id.upper() == "A1":
try:
sched_df = pd.read_csv(
f'racing_reference/a1_grand_prix/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} A1 Grand Prix season.')
# North American Touring Car Championship (NATCC)
elif series_id.upper() == "NA":
try:
sched_df = pd.read_csv(
f'racing_reference/natcc/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} North American Touring Car Championship (NATCC) season.')
# NASCAR Whelen Southern Modified Tour (WSMT)
elif series_id.upper() == "M":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_whelen_southern_modified/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR Whelen Southern Modified Tour (WSMT) season.')
# CARS Tour
elif series_id.upper() == "US":
try:
sched_df = pd.read_csv(
f'racing_reference/cars_tour/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} CARS Tour season.')
# NASCAR Southeast Series
elif series_id.upper() == "SE":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_southeast_series/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR Southeast Series season.')
# NASCAR Midwest Series
elif series_id.upper() == "MW":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_midwest_series/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR Midwest Series season.')
# NASCAR Southwest Series
elif series_id.upper() == "SW":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_southwest_series/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR Southwest Series season.')
# NASCAR Northwest Series
elif series_id.upper() == "NW":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_northwest_series/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR Northwest Series season.')
# ASA National Tour
elif series_id.upper() == "AS":
try:
sched_df = pd.read_csv(
f'racing_reference/asa_national_tour/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} ASA National Tour season.')
# ASA National Tour
elif series_id.upper() == "AS":
try:
sched_df = pd.read_csv(
f'racing_reference/asa_national_tour/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} ASA National Tour season.')
# NASCAR Peak Mexico Series
elif series_id.upper() == "MX":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_peak_mexico/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR Peak Mexico Series season.')
# NASCAR FedEx Challenge
elif series_id.upper() == "M2":
try:
sched_df = pd.read_csv(
f'racing_reference/nascar_fedex_challenge/schedule/{season}_schedule.csv')
return sched_df
except Exception:
raise FileNotFoundError(
f'Could not find a schedule file for the {season} NASCAR FedEx Challenge.')
else:
raise ValueError("The input for series_id is invalid.")
def get_racing_reference_standings(season: int, series_id="W") -> pd.DataFrame:
main_df = pd.DataFrame()
row_df = pd.DataFrame()
url = f"https://www.racing-reference.info/season-stats/{
season}/{series_id}/"
# driver.get(url)
# headers = {
# "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) " +
# "AppleWebKit/537.36 (KHTML, like Gecko) " +
# "Chrome/102.0.0.0 Safari/537.36"
# }
# response = requests.get(url, headers=headers)
# soup = BeautifulSoup(response.text, features='lxml')
driver = webdriver.Chrome()
driver.get(url)
time.sleep(5)
soup = BeautifulSoup(driver.page_source, features='lxml')
table_rows = soup.find_all(
"div", {"itemprop": "SportsEvent", "class": "table-row", "role": "row"})
# print(table_rows)
for i in tqdm(table_rows):
# print('\n')
# print(i)
row_df = pd.DataFrame(columns=['season'], data=[season])
row_df['series_id'] = series_id
race_num = int(str(
i.find('div', {'class': 'race-number', 'role': 'cell'}).text).replace(" ", ""))
row_df['race_num'] = race_num
row_df['race_date'] = i.find(
'div', {'class': f'date {series_id}', 'role': 'cell'}).text
if race_num < 10:
row_df['race_short_id'] = f"{season}_0{race_num}"
else:
row_df['race_short_id'] = f"{season}_{race_num}"
row_df['race_track_name'] = i.find(
'div', {'class': f'track {series_id}', 'role': 'cell'}).text
race_track_url = i.find(
'div', {'class': f'track {series_id}'}).find('a').get("href")
row_df['race_track_id'] = str(race_track_url).replace(
'https://www.racing-reference.info/tracks/', '').replace(' ', '')
row_df['race_car_count'] = int(str(i.find(
'div', {'class': 'cars no-mobile', 'role': 'cell'}).text).replace(' ', ''))
row_df['race_winner_name'] = i.find(
'div', {'class': f'winners {series_id}', 'role': 'cell'}).text
race_winner_url = i.find(
'div', {'class': f'winners {series_id}'}).find('a').get("href")
row_df['race_winner_real_id'] = race_winner_url.replace(
'https://www.racing-reference.info/driver/', '').replace('/', '')
try:
row_df['race_winner_starting_pos'] = int(str(
i.find('div', {'class': 'st no-mobile', 'role': 'cell'}).text).replace(' ', ''))
except Exception:
row_df['race_winner_starting_pos'] = None
row_df['race_winner_make'] = i.find(
'div', {'class': f'manufacturer {series_id} no-mobile landscape', 'role': 'cell'}).text
row_df['race_lap_len'] = i.find(
'div', {'class': 'len no-mobile', 'role': 'cell'}).text
row_df['race_track_surface'] = i.find(
'div', {'class': 'sfc no-mobile', 'role': 'cell'}).text
row_df['race_miles_completed'] = i.find(
'div', {'class': f'miles no-mobile {series_id} no-right-border', 'role': 'cell'}).text
try:
row_df['race_purse_completed'] = int(str(i.find(
'div', {'class': f'purse no-mobile {series_id}', 'role': 'cell'}).text).replace(' ', '').replace(',', ''))
except Exception:
row_df['race_purse_completed'] = None
row_df['race_pole_time'] = i.find(
'div', {'class': 'pole no-mobile no-tablet', 'role': 'cell'}).text
row_df['race_cautions'] = str(i.find('div', {
'class': 'cautions no-mobile no-tablet', 'role': 'cell'}).text).replace(' ', '')
row_df['race_speed'] = i.find(
'div', {'class': 'speed no-mobile no-tablet', 'role': 'cell'}).text
row_df['race_lead_changes'] = i.find(
'div', {'class': 'lc no-mobile no-tablet', 'role': 'cell'}).text
row_df['race_url'] = str(
i.find('div', {'class': 'race-number'}).find("a").get("href")).replace(' ', '')
row_df['race_track_url'] = race_track_url
row_df['race_winner_url'] = race_winner_url
# print(race_num,race_winner_real_id)
# print('\n')
main_df = pd.concat([main_df, row_df], ignore_index=True)
print(main_df)
time.sleep(1)
# main_df.to_csv('test.csv',index=False)
return main_df
def get_racing_reference_race_results(season: int, series_id="W"):
"""
"""
sched_df = get_racing_reference_schedule(
season=season, series_id=series_id)
race_url_arr = sched_df['race_url'].to_list()
# race_num_arr = sched_df['race_num'].to_list()
race_id_short_arr = sched_df['race_short_id'].to_list()
# main_df = pd.DataFrame()
race_results_df = pd.DataFrame()
row_df = pd.DataFrame()
driver = webdriver.Chrome()
# headers = {
# "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) " +
# "AppleWebKit/537.36 (KHTML, like Gecko) " +
# "Chrome/102.0.0.0 Safari/537.36"
# }
for i in tqdm(range(0, len(race_url_arr))):
race_results_url = race_url_arr[i]
# response = requests.get(race_results_url, headers=headers)
# soup = BeautifulSoup(response.text, features='lxml')
driver.get(race_results_url)
time.sleep(5)
soup = BeautifulSoup(driver.page_source, features='lxml')
# table 0: Race info table.
# table 1: Header table (links to stuff like race results, loop data, and pit stop data).
html_table = soup.find_all(
'table', {'class': 'tb race-results-tbl'})[0]
# print(f"\n{html_table}")
race_id = str(race_results_url).replace(
"https://www.racing-reference.info/race-results/", "").replace(f"/{series_id.upper()}", "")
race_id_short = race_id_short_arr[i]
for j in html_table.find_all('tr'):
row_df = pd.DataFrame({'season': season, 'series_id': series_id,
'race_id': race_id, 'race_id_short': race_id_short}, index=[0])
row = j.find_all('td')
if len(row) < 2:
# If this is less than 2, this is the header.
# We don't need the header.
pass
else:
# print(race_id)
row_df['finish_position'] = row[0].text.strip()
row_df['starting_position'] = row[1].text.strip()
row_df['driver_number'] = str(row[2].text.strip())
row_df['driver_nationality'] = str(row[3].find("img").get("src")).replace(
'//www.racing-reference.info/wp-content/themes/ndms/images/racing-reference/flags/', '').replace('.png', '')
try:
row_df['driver_id'] = str(row[3].find("a").get("href")).replace(
'https://www.racing-reference.info/driver/', '').replace('/', '')
except Exception:
row_df['driver_id'] = None
row_df['driver_name'] = row[3].text.strip()
sponsor_owner = row[4].text.strip()
row_df['sponsor'] = sponsor_owner.split(' ')[0]
try:
row_df['owner_id'] = str(row[4].find("a").get("href")).replace(
'https://www.racing-reference.info/owner/', '')
except Exception:
row_df['owner_id'] = None
try:
row_df['car'] = row[5].text.strip()
except Exception:
row_df['car'] = None
row_df['race_laps_run'] = row[6].text.strip()
row_df['race_status'] = row[7].text.strip()
row_df['race_laps_lead'] = row[8].text.strip()
try:
row_df['points_earned'] = row[9].text.strip()
except Exception:
row_df['points_earned'] = None
try:
row_df['playoff_points_earned'] = row[10].text.strip()
except Exception:
row_df['playoff_points_earned'] = None
race_results_df = pd.concat(
[race_results_df, row_df], ignore_index=True)
del row_df
time.sleep(1)
return race_results_df
def get_racing_reference_entry_lists(
season: int, series_id="W"
) -> pd.DataFrame:
"""
"""
sched_df = get_racing_reference_schedule(
season=season, series_id=series_id)
race_id_short_arr = sched_df['race_short_id'].to_list()
# main_df = pd.DataFrame()
race_entry_lists_df = pd.DataFrame()
row_df = pd.DataFrame()
# has_entry_lists = False
# headers = {
# "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) " +
# "AppleWebKit/537.36 (KHTML, like Gecko) " +
# "Chrome/83.0.4103.97 Safari/537.36"
# }
driver = webdriver.Chrome()
for i in race_id_short_arr:
url = "https://www.racing-reference.info/race-results/" +\
f"?rType=cc&raceId={i}&series={series_id}"
row_df = pd.DataFrame(
{'season': season, 'series_id': series_id, 'race_id_short': i},
index=[0]
)
try:
# response = requests.get(url, headers=headers)
# soup = BeautifulSoup(response.text, features='lxml')
driver.get(url)
time.sleep(5)
# soup = BeautifulSoup(driver.page_source, features='lxml')
# has_entry_lists = True
except Exception:
print(f'No entry list found for {i}.\nseries ID:{series_id}')
# has_entry_lists = False
# table = soup.find_all("tbody")
del row_df
return race_entry_lists_df
def main():
# current_year = datetime.now().year
now = datetime.now()
current_year = now.year
# current_month = now.month
# current_day = now.day
for i in range(current_year, current_year+1):
# Cup Series
if i >= 1949:
sched_df = get_racing_reference_standings(season=i, series_id="W")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_cup/schedule/{i}_schedule.csv",
index=False
)
# try:
results_df = get_racing_reference_race_results(
season=i, series_id="W")
if len(results_df) > 0:
results_df.to_csv(
"racing_reference/nascar_cup/race_results" +
f"/{i}_race_results.csv",
index=False
)
# except:
# print(
# f'Could not get race results for the {i} NASCAR Cup season.'
# )
# get_racing_reference_entry_lists(i,"W")
# Xfinity (Busch) Series
if i >= 1984:
sched_df = get_racing_reference_standings(season=i, series_id="B")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_busch/schedule/{i}_schedule.csv",
index=False
)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="B")
if len(results_df) > 0:
results_df.to_csv(
"racing_reference/nascar_busch/race_results/" +
f"{i}_race_results.csv",
index=False
)
except Exception:
print(
'Could not get race results for the ' +
f'{i} NASCAR Xfinity season.'
)
# Truck Series
if i >= 1995:
sched_df = get_racing_reference_standings(season=i, series_id="C")
if len(sched_df) > 0:
sched_df.to_csv(
"racing_reference/nascar_trucks/schedule/" +
f"{i}_schedule.csv",
index=False
)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="C")
if len(results_df) > 0:
results_df.to_csv(
"racing_reference/nascar_trucks/race_results/" +
f"{i}_race_results.csv",
index=False
)
except Exception:
print(
'Could not get race results for the ' +
f'{i} NASCAR Trucks season.'
)
# ARCA Series
if i >= 1979:
sched_df = get_racing_reference_standings(season=i, series_id="A")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_arca/schedule/{i}_schedule.csv",
index=False
)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="A")
if len(results_df) > 0:
results_df.to_csv(
"racing_reference/nascar_arca/race_results/" +
f"{i}_race_results.csv",
index=False
)
except Exception:
print(
'Could not get race results for the ' +
f'{i} NASCAR ARCA season.'
)
# ARCA East Series
if i >= 1954:
sched_df = get_racing_reference_standings(season=i, series_id="P")
if len(sched_df) > 0:
sched_df.to_csv(
"racing_reference/nascar_arca_east/schedule/" +
f"{i}_schedule.csv",
index=False
)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="P")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_arca_east/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR ARCA East season.')
# ARCA West Series
if i >= 1987:
# Yes, this is the actual league ID for ARCA West.
sched_df = get_racing_reference_standings(season=i, series_id="E")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_arca_west/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="E")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_arca_west/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR ARCA West season.')
# Modified Series
if i >= 1948:
sched_df = get_racing_reference_standings(season=i, series_id="N")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_modified/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="N")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_modified/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR Modifieds season.')
# NASCAR Pinty's Series
if i >= 2007:
sched_df = get_racing_reference_standings(season=i, series_id="T")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_pintys/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="T")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_pintys/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f"Could not get race results for the {i} NASCAR Pinty's season.")
# IndyCar Series
if i >= 1996:
sched_df = get_racing_reference_standings(season=i, series_id="O")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/indycar/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="O")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/indycar/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} IndyCar season.')
# Indy NXT (Indy Lights)
if i >= 1986:
sched_df = get_racing_reference_standings(season=i, series_id="IL")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/indy_lights/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="IL")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/indy_lights/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} Indy NXT (Indy Lights) season.')
# ACT Late Model Tour
if i >= 2006:
sched_df = get_racing_reference_standings(season=i, series_id="AC")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/act_late_model/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="AC")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/act_late_model/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} ACT Late Model Tour season.')
# Needs different parser for this league.
# Supercars Championship
if i >= 1960:
sched_df = get_racing_reference_standings(season=i, series_id="V8")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/supercars_championship/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="V8")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/supercars_championship/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} Supercars Championship season.')
# NASCAR Peak Mexico
if i >= 2008:
sched_df = get_racing_reference_standings(season=i, series_id="MX")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_peak_mexico/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="MX")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_peak_mexico/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR Peak Mexico season.')
# NASCAR FedEx Challenge
if i >= 2017:
sched_df = get_racing_reference_standings(season=i, series_id="M2")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_fedex_challenge/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="M2")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_fedex_challenge/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR FedEx Challenge season.')
# #####################################################################################################################################3
# ## Defunct Series
# #####################################################################################################################################3
# NASCAR Convertible Series
if i >= 1956 and i <= 1959:
sched_df = get_racing_reference_standings(season=i, series_id="V")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_convertible/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="V")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_convertible/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR Convertible season.')
# NASCAR Grand National East Series
if i >= 1972 and i <= 1973:
sched_df = get_racing_reference_standings(season=i, series_id="G")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_grand_national_east/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="G")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_grand_national_east/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR Convertible season.')
# NASCAR North Tour
if i >= 1979 and i <= 1985:
sched_df = get_racing_reference_standings(season=i, series_id="NN")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_north_tour/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="NN")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_north_tour/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR North Tour season.')
# Championship Auto Racing Teams (CART)
if i >= 1979 and i <= 2007:
sched_df = get_racing_reference_standings(season=i, series_id="R")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/cart/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="R")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/cart/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR Convertible season.')
# USAC Champ Car Series
if i >= 1905 and i <= 1995:
sched_df = get_racing_reference_standings(season=i, series_id="UO")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/usac_champ_car/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="UO")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/usac_champ_car/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} USAC Champ Car Series season.')
# International Race of Champions (IROC)
if i >= 1974 and i <= 2006:
sched_df = get_racing_reference_standings(season=i, series_id="I")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/iroc/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="I")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/iroc/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} USAC Champ Car Series season.')
# A1 Grand Prix
if i >= 2005 and i <= 2008:
sched_df = get_racing_reference_standings(season=i, series_id="A1")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/a1_grand_prix/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="A1")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/a1_grand_prix/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} A1 Grand Prix season.')
# North American Touring Car Championship (NATCC)
if i >= 1996 and i <= 1997:
sched_df = get_racing_reference_standings(season=i, series_id="NA")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/natcc/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="NA")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/natcc/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} North American Touring Car Championship (NATCC) season.')
# NASCAR Whelen Southern Modified Tour (WSMT)
if i >= 2005 and i <= 2016:
sched_df = get_racing_reference_standings(season=i, series_id="M")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_whelen_southern_modified/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="M")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_whelen_southern_modified/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR Whelen Southern Modified Tour (WSMT) season.')
# CARS Tour
if i >= 1997 and i <= 2014:
sched_df = get_racing_reference_standings(season=i, series_id="US")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/cars_tour/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="US")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/cars_tour/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} CARS Tour season.')
# NASCAR Southeast Series
if i >= 1991 and i <= 2006:
sched_df = get_racing_reference_standings(season=i, series_id="SE")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_southeast_series/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="SE")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_southeast_series/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR Southeast Series season.')
# NASCAR Midwest Series
if i >= 1998 and i <= 2006:
sched_df = get_racing_reference_standings(season=i, series_id="MW")
if len(sched_df) > 0:
sched_df.to_csv(
f"racing_reference/nascar_midwest_series/schedule/{i}_schedule.csv", index=False)
try:
results_df = get_racing_reference_race_results(
season=i, series_id="MW")
if len(results_df) > 0:
results_df.to_csv(
f"racing_reference/nascar_midwest_series/race_results/{i}_race_results.csv", index=False)
except Exception:
print(
f'Could not get race results for the {i} NASCAR Midwest Series season.')
# NASCAR Southwest Series
if i >= 1986 and i <= 2006: