def parse_data():
""" Parse and store all the data
"""
print("Getting data")
data = get_data()
season = '2018-19'
base_filename = 'data/' + season + '/'
print("Parsing summary data")
parse_players(data["elements"], base_filename)
gw_num = data["current-event"]
print("Cleaning summary data")
clean_players(base_filename + 'players_raw.csv', base_filename)
print("Extracting player ids")
id_players(base_filename + 'players_raw.csv', base_filename)
player_ids = get_player_ids(base_filename)
# TODO: parse other stats that may be useful
num_players = len(data["elements"])
player_base_filename = base_filename + 'players/'
gw_base_filename = base_filename + 'gws/'
print("Extracting player specific data")
for i in range(num_players):
player_data = get_individual_player_data(i + 1)
parse_player_history(player_data["history_past"], player_base_filename,
player_ids[i + 1], i + 1)
parse_player_gw_history(player_data["history"], player_base_filename,
player_ids[i + 1], i + 1)
print("Collecting gw scores")
collect_gw(gw_num, player_base_filename, gw_base_filename)
print("Merging gw scores")
merge_gw(gw_num, gw_base_filename)
def parse_data():
""" Parse and store all the data
"""
print("Getting data")
data = get_data()
season = '2018-19'
base_filename = 'data/' + season + '/'
print("Parsing summary data")
parse_players(data["elements"], base_filename)
gw_num = data["current-event"]
print("Cleaning summary data")
clean_players(base_filename + 'players_raw.csv', base_filename)
print("Extracting player ids")
id_players(base_filename + 'players_raw.csv', base_filename)
player_ids = get_player_ids(base_filename)
# TODO: parse other stats that may be useful
num_players = len(data["elements"])
player_base_filename = base_filename + 'players/'
gw_base_filename = base_filename + 'gws/'
print("Extracting player specific data")
for i in range(num_players):
player_data = get_individual_player_data(i+1)
parse_player_history(player_data["history_past"], player_base_filename, player_ids[i+1], i+1)
parse_player_gw_history(player_data["history"], player_base_filename, player_ids[i+1], i+1)
print("Collecting gw scores")
collect_gw(gw_num, player_base_filename, gw_base_filename)
print("Merging gw scores")
merge_gw(gw_num, gw_base_filename)
def parse_data():
""" Parse and store all the data
"""
season = '2021-22'
base_filename = 'data/' + season + '/'
print("Getting data")
data = get_data()
print("Parsing summary data")
parse_players(data["elements"], base_filename)
xPoints = []
for e in data["elements"]:
xPoint = {}
xPoint['id'] = e['id']
xPoint['xP'] = e['ep_this']
xPoints += [xPoint]
gw_num = 0
events = data["events"]
for event in events:
if event["is_current"] == True:
gw_num = event["id"]
print("Cleaning summary data")
clean_players(base_filename + 'players_raw.csv', base_filename)
print("Getting fixtures data")
fixtures(base_filename)
print("Getting teams data")
parse_team_data(data["teams"], base_filename)
print("Extracting player ids")
id_players(base_filename + 'players_raw.csv', base_filename)
player_ids = get_player_ids(base_filename)
num_players = len(data["elements"])
player_base_filename = base_filename + 'players/'
gw_base_filename = base_filename + 'gws/'
print("Extracting player specific data")
for i, name in player_ids.items():
player_data = get_individual_player_data(i)
parse_player_history(player_data["history_past"], player_base_filename,
name, i)
parse_player_gw_history(player_data["history"], player_base_filename,
name, i)
if gw_num > 0:
print("Writing expected points")
with open(os.path.join(gw_base_filename, 'xP' + str(gw_num) + '.csv'),
'w+') as outf:
w = csv.DictWriter(outf, ['id', 'xP'])
w.writeheader()
for xp in xPoints:
w.writerow(xp)
print("Collecting gw scores")
collect_gw(gw_num, player_base_filename, gw_base_filename,
base_filename)
print("Merging gw scores")
merge_gw(gw_num, gw_base_filename)
understat_filename = base_filename + 'understat'
parse_epl_data(understat_filename)
def parse_data():
"""Parse and store all the data"""
base_filename = "data/" + SEASON + "/"
print("Getting data")
data = get_data()
print("Parsing summary data")
parse_players(data["elements"], base_filename)
xPoints = []
for e in data["elements"]:
xPoint = {}
xPoint["id"] = e["id"]
xPoint["xP"] = e["ep_this"]
xPoints += [xPoint]
gw_num = 0
events = data["events"]
for event in events:
if event["is_current"]:
gw_num = event["id"]
print("Cleaning summary data")
clean_players(base_filename + "players_raw.csv", base_filename)
print("Getting fixtures data")
fixtures(base_filename)
print("Getting teams data")
parse_team_data(data["teams"], base_filename)
print("Extracting player ids")
id_players(base_filename + "players_raw.csv", base_filename)
player_ids = get_player_ids(base_filename)
# num_players = len(data["elements"])
player_base_filename = base_filename + "players/"
gw_base_filename = base_filename + "gws/"
print("Extracting player specific data")
for i, name in player_ids.items():
player_data = get_individual_player_data(i)
parse_player_history(player_data["history_past"], player_base_filename,
name, i)
parse_player_gw_history(player_data["history"], player_base_filename,
name, i)
if gw_num > 0:
print("Writing expected points")
with open(os.path.join(gw_base_filename, "xP" + str(gw_num) + ".csv"),
"w+") as outf:
w = csv.DictWriter(outf, ["id", "xP"])
w.writeheader()
for xp in xPoints:
w.writerow(xp)
print("Collecting gw scores")
collect_gw(gw_num, player_base_filename, gw_base_filename)
print("Merging gw scores")
merge_gw(gw_num, gw_base_filename)
understat_filename = base_filename + "understat"
parse_epl_data(understat_filename)
def parse_data():
""" Parse and store all the data
"""
print("Getting data")
data = get_data()
season = '2020-21'
base_filename = 'data/' + season + '/'
print("Parsing summary data")
parse_players(data["elements"], base_filename)
gw_num = 0
events = data["events"]
for event in events:
if event["is_current"] == True:
gw_num = event["id"]
print("Cleaning summary data")
clean_players(base_filename + 'players_raw.csv', base_filename)
print("Getting fixtures data")
fixtures(base_filename)
print("Getting teams data")
parse_team_data(data["teams"], base_filename)
print("Extracting player ids")
id_players(base_filename + 'players_raw.csv', base_filename)
player_ids = get_player_ids(base_filename)
num_players = len(data["elements"])
player_base_filename = base_filename + 'players/'
gw_base_filename = base_filename + 'gws/'
print("Extracting player specific data")
for i, name in player_ids.items():
player_data = get_individual_player_data(i)
parse_player_history(player_data["history_past"], player_base_filename,
name, i)
parse_player_gw_history(player_data["history"], player_base_filename,
name, i)
if gw_num > 0:
print("Collecting gw scores")
collect_gw(gw_num, player_base_filename, gw_base_filename)
print("Merging gw scores")
merge_gw(gw_num, gw_base_filename)
understat_filename = base_filename + 'understat'
parse_epl_data(understat_filename)
def parse_data():
""" Parse and store all the data
"""
print("Getting data")
data = get_data()
season = '2019-20'
base_filename = 'data/' + season + '/'
print("Parsing summary data")
parse_players(data["elements"], base_filename)
try:
gw_num = data["current-event"]
except:
gw_num = 0
print("Season hasn't started yet m8")
print("Cleaning summary data")
clean_players(base_filename + 'players_raw.csv', base_filename)
print("Getting fixtures data")
fixtures(base_filename)
if gw_num == 0:
print("Getting teams data")
parse_team_data(data["teams"], base_filename)
print("Extracting player ids")
id_players(base_filename + 'players_raw.csv', base_filename)
player_ids = get_player_ids(base_filename)
num_players = len(data["elements"])
player_base_filename = base_filename + 'players/'
gw_base_filename = base_filename + 'gws/'
print("Extracting player specific data")
for i in range(num_players):
player_data = get_individual_player_data(i + 1)
parse_player_history(player_data["history_past"], player_base_filename,
player_ids[i + 1], i + 1)
parse_player_gw_history(player_data["history"], player_base_filename,
player_ids[i + 1], i + 1)
if gw_num > 0:
print("Collecting gw scores")
collect_gw(gw_num, player_base_filename, gw_base_filename)
print("Merging gw scores")
merge_gw(gw_num, gw_base_filename)
