def scrape_games(games, data_format='csv', rescrape=False, docs_dir=None):
"""
Scrape a list of games
:param games: list of game_ids
:param data_format: format you want data in - csv or pandas (csv is default)
:param rescrape: If you want to rescrape pages already scraped. Only applies if you supply a docs dir.
:param docs_dir: Directory that either contains previously scraped docs or one that you want them to be deposited
in after scraping
:return: Dictionary with DataFrames or None
"""
# First check if the inputs are good
shared.check_data_format(data_format)
# Check on the docs_dir and re_scrape
shared.add_dir(docs_dir)
shared.if_rescrape(rescrape)
pbp_df = scrape_list_of_games(games)
print_errors()
if data_format.lower() == 'csv':
shared.to_csv(str(random.randint(1, 101)), pbp_df, None, "nwhl")
else:
return pbp_df
def scrape_seasons(seasons,
if_scrape_shifts,
data_format='csv',
preseason=False,
rescrape=False,
docs_dir=None):
"""
Given list of seasons it scrapes all the seasons
:param seasons: list of seasons
:param if_scrape_shifts: Boolean indicating whether to also scrape shifts
:param data_format: format you want data in - csv or pandas (csv is default)
:param preseason: Boolean indicating whether to include preseason games (default if False)
This is may or may not work!!! I don't give a shit.
:param rescrape: If you want to rescrape pages already scraped. Only applies if you supply a docs dir.
:param docs_dir: Directory that either contains previously scraped docs or one that you want them to be deposited
in after scraping
:return: Dictionary with DataFrames and errors or None
"""
# First check if the inputs are good
shared.check_data_format(data_format)
# Check on the docs_dir and re_scrape
shared.add_dir(docs_dir)
shared.if_rescrape(rescrape)
# Holds all seasons scraped (if not csv)
master_pbps, master_shifts = [], []
for season in seasons:
from_date = '-'.join([str(season), '9', '1'])
to_date = '-'.join([str(season + 1), '7', '1'])
games = json_schedule.scrape_schedule(from_date, to_date, preseason)
pbp_df, shifts_df = scrape_list_of_games(games, if_scrape_shifts)
if data_format.lower() == 'csv':
shared.to_csv(
str(season) + str(season + 1), pbp_df, shifts_df, "nhl")
else:
master_pbps.append(pbp_df)
master_shifts.append(shifts_df)
if data_format.lower() == 'pandas':
if if_scrape_shifts:
return {
"pbp": pd.concat(master_pbps),
"shifts": pd.concat(master_shifts),
"errors": errors
}
else:
return {"pbp": pd.concat(master_pbps), "errors": errors}
def scrape_seasons(seasons, data_format='csv', rescrape=False, docs_dir=None):
"""
Given list of seasons it scrapes all the seasons
:param seasons: list of seasons
:param data_format: format you want data in - csv or pandas (csv is default)
:param rescrape: If you want to rescrape pages already scraped. Only applies if you supply a docs dir.
:param docs_dir: Directory that either contains previously scraped docs or one that you want them to be deposited
in after scraping
:return: Dictionary with DataFrames and errors or None
"""
# First check if the inputs are good
shared.check_data_format(data_format)
# Check on the docs_dir and re_scrape
shared.add_dir(docs_dir)
shared.if_rescrape(rescrape)
# Holds all seasons scraped (if not csv)
master_pbps = []
for season in seasons:
from_date = '-'.join([str(season), '9', '1'])
to_date = '-'.join([str(season + 1), '8', '31'])
# Get dates and convert to just a list of game ids
games = html_schedule.scrape_dates(from_date, to_date)
game_ids = [game['game_id'] for game in games]
# Scrape all PBP
pbp_df = scrape_list_of_games(game_ids)
# Merge in subtype
pbp_df = pd.merge(pbp_df,
pd.DataFrame(games, columns=['game_id', 'sub_type']),
on="game_id",
how="left")
if data_format.lower() == 'csv':
shared.to_csv(str(season) + str(season + 1), pbp_df, None, "nwhl")
else:
master_pbps.append(pbp_df)
print_errors()
if data_format.lower() == 'pandas':
return pd.concat(master_pbps, sort=True)
def scrape_date_range(from_date,
to_date,
if_scrape_shifts,
data_format='csv',
preseason=False,
rescrape=False,
docs_dir=None):
"""
Scrape games in given date range
:param from_date: date you want to scrape from
:param to_date: date you want to scrape to
:param if_scrape_shifts: Boolean indicating whether to also scrape shifts
:param data_format: format you want data in - csv or pandas (csv is default)
:param preseason: Boolean indicating whether to include preseason games (default if False)
This is may or may not work!!! I don't give a shit.
:param rescrape: If you want to rescrape pages already scraped. Only applies if you supply a docs dir. (def. = None)
:param docs_dir: Directory that either contains previously scraped docs or one that you want them to be deposited
in after scraping. (default is None)
:return: Dictionary with DataFrames and errors or None
"""
# First check if the inputs are good
shared.check_data_format(data_format)
shared.check_valid_dates(from_date, to_date)
# Check on the docs_dir and re_scrape
shared.add_dir(docs_dir)
shared.if_rescrape(rescrape)
games = json_schedule.scrape_schedule(from_date, to_date, preseason)
pbp_df, shifts_df = scrape_list_of_games(games, if_scrape_shifts)
if data_format.lower() == 'csv':
shared.to_csv(from_date + '--' + to_date, pbp_df, shifts_df, "nhl")
else:
return {
"pbp": pbp_df,
"shifts": shifts_df,
"errors": errors
} if if_scrape_shifts else {
"pbp": pbp_df,
"errors": errors
}
def scrape_date_range(from_date,
to_date,
data_format='csv',
rescrape=False,
docs_dir=None):
"""
Scrape games in given date range
:param from_date: date you want to scrape from
:param to_date: date you want to scrape to
:param data_format: format you want data in - csv or pandas (csv is default)
:param rescrape: If you want to rescrape pages already scraped. Only applies if you supply a docs dir. (def. = None)
:param docs_dir: Directory that either contains previously scraped docs or one that you want them to be deposited
in after scraping. (default is None)
:return: Dictionary with DataFrames and errors or None
"""
# First check if the inputs are good
shared.check_data_format(data_format)
shared.check_valid_dates(from_date, to_date)
# Check on the docs_dir and re_scrape
shared.add_dir(docs_dir)
shared.if_rescrape(rescrape)
# Get dates and convert to just a list of game ids
games = html_schedule.scrape_dates(from_date, to_date)
game_ids = [game['game_id'] for game in games]
# Scrape all PBP
pbp_df = scrape_list_of_games(game_ids)
# Merge in subtype
pbp_df = pd.merge(pbp_df,
pd.DataFrame(games, columns=['game_id', 'sub_type']),
on="game_id",
how="left")
print_errors()
if data_format.lower() == 'csv':
shared.to_csv(from_date + '--' + to_date, pbp_df, None, "nwhl")
else:
return pbp_df
def scrape_games(games,
if_scrape_shifts,
data_format='csv',
rescrape=False,
docs_dir=None):
"""
Scrape a list of games
:param games: list of game_ids
:param if_scrape_shifts: Boolean indicating whether to also scrape shifts
:param data_format: format you want data in - csv or pandas (csv is default)
:param rescrape: If you want to rescrape pages already scraped. Only applies if you supply a docs dir.
:param docs_dir: Directory that either contains previously scraped docs or one that you want them to be deposited
in after scraping
:return: Dictionary with DataFrames and errors or None
"""
# First check if the inputs are good
shared.check_data_format(data_format)
# Check on the docs_dir and re_scrape
shared.add_dir(docs_dir)
shared.if_rescrape(rescrape)
# Create List of game_id's and dates
games_list = json_schedule.get_dates(games)
# Scrape pbp and shifts
pbp_df, shifts_df = scrape_list_of_games(games_list, if_scrape_shifts)
if data_format.lower() == 'csv':
shared.to_csv(str(random.randint(1, 101)), pbp_df, shifts_df, "nhl")
else:
return {
"pbp": pbp_df,
"shifts": shifts_df,
"errors": errors
} if if_scrape_shifts else {
"pbp": pbp_df,
"errors": errors
}