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stats_compile.py
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stats_compile.py
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import io
import os
import re
from datetime import datetime
from datetime import date
from selenium import webdriver
from time import sleep
import pandas as pd
from random import randint
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# webdrivermanager
# VE in falconaforecast dir
gf = []
xg = []
gp = []
npxg = []
npxG_Sh = []
np_G_xG = []
prog = []
sca90 = []
gca90 = []
poss = []
ga = []
psxg = []
def wait_until_element_is_present_by_id(driver, element):
try:
WebDriverWait(driver, 30).until(EC.presence_of_element_located((By.ID, element)))
except:
print('could not locate element %s' % (element))
def get_by_type(locator_type):
#def which generate locator type
#:param locator_type: str set by def which implement on SeleniumDriver class
#:return: tag type or False
locator_type = locator_type.lower()
if locator_type == 'id':
return By.ID
elif locator_type == 'name':
return By.NAME
elif locator_type == 'xpath':
return By.XPATH
elif locator_type == 'css':
return By.CSS_SELECTOR
elif locator_type == 'class':
return By.CLASS_NAME
elif locator_type == 'link':
return By.LINK_TEXT
elif locator_type == 'tag':
return By.TAG_NAME
else:
print("Locator type" + locator_type + " not correct/supported")
return False
def set_firefox_options():
try:
opts = webdriver.FirefoxOptions()
opts.headless = True
profile = webdriver.FirefoxProfile()
profile.set_preference("general.useragent.override",
"Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)")
return opts, profile
except:
raise Exception("Could not set firefox options for the browser. ")
def get_web_data():
try:
opts, profile = set_firefox_options()
driver = webdriver.Firefox()
driver.get("https://fbref.com/en/comps/11/Serie-A-Stats")
data_frames = create_data_frame_object(driver)
write_table_data_to_csv(data_frames)
except:
raise Exception("Could not get Web Data")
def get_table_data(driver, table_id, body_tag, row_tag):
try:
team_data = []
wait_until_element_is_present_by_id(driver, table_id)
table = driver.find_element(get_by_type('id'), table_id)
sleep(randint(3, 5))
body = table.find_element(get_by_type('tag'), body_tag)
sleep(randint(2, 4))
rows = body.find_elements(get_by_type('tag'), row_tag)
for row in rows:
row_class = row.get_attribute("class")
if "Hellas Verona" in row.text:
print(row.text)
res_str = re.sub("Hellas Verona", "HellasVerona", row.text)
print(res_str)
team_data.append(res_str)
elif "vs" in row.text:
print(row.text)
res_str = re.sub("vs ", "vs", row.text)
print(res_str)
team_data.append(res_str)
elif row.text != "" and body_tag == 'tbody':
print(row.text)
team_data.append(row.text)
elif body_tag == 'thead' and row_class != "over_header":
res_str = re.sub("# Pl", "#Pl", row.text)
print(res_str)
team_data.append(res_str)
length = len(team_data)
if length > 1 and body_tag == 'thead':
team_data.pop(0)
return team_data
return team_data
except:
raise Exception("Could not get table data from table %s " %(table_id))
def create_data_frame(table1, table2):
try:
all_data = pd.np.concatenate((table1, table2))
ita_curr_stats = pd.read_csv(io.StringIO('\n'.join(all_data)), delim_whitespace=True, error_bad_lines=False, engine="python")
print(ita_curr_stats)
return ita_curr_stats
except:
raise Exception("Could not create dataframe with table %s. " %(table1))
def create_data_frame_object(driver):
try:
tables = ["all_stats_squads_keeper_adv", "all_stats_squads_shooting", "all_stats_squads_passing", "all_stats_squads_gca", "all_stats_squads_possession"]
data_frames = []
for i in range(len(tables)):
sleep(randint(2,4))
is_true = False
headers = get_table_data(driver, "{}".format(tables[i]), "thead", "tr")
data = get_table_data(driver, "{}".format(tables[i]), "tbody", "tr")
ita_curr_stats = create_data_frame(headers, data)
data_frames.append(ita_curr_stats)
return data_frames
except:
raise Exception("Could not create dataframe Object. ")
def write_table_data_to_csv(data_frames):
try:
current_directory = get_project_root()
BASE_DIR = os.path.dirname(current_directory)
print(BASE_DIR)
col_df = {
'ga': data_frames[0]['GA'],
'psxg': data_frames[0]['PSxG'],
'squad': data_frames[1]['Squad'],
'gp': data_frames[1]['90s'],
'gf': data_frames[1]['Gls'],
'xg': data_frames[1]['xG'],
'npxg': data_frames[1]['npxG'],
'npxG/Sh': data_frames[1]['npxG/Sh'],
'np:G-xG': data_frames[1]['np:G-xG'],
'prog': data_frames[2]['Prog'],
'sca90': data_frames[3]['SCA90'],
'gca90': data_frames[3]['GCA90'],
'poss': data_frames[4]['Poss']
}
ita_curr_stats = pd.DataFrame(col_df)
#df = pd.to_flat_index(col_df).union()
ita_curr_stats.to_csv('{base_dir}/data/seriea_{current_date}.csv'.format(base_dir=BASE_DIR, current_date=date.today()), index = False)
except:
raise Exception("Could not write column df to CSV. ")
def get_project_root():
print(os.path.abspath(os.path.dirname(__file__)))
return os.path.abspath(os.path.dirname(__file__))
get_web_data()
###########
# spain data coll
gf = []
xg = []
gp = []
npxg = []
npxG_Sh = []
np_G_xG = []
prog = []
sca90 = []
gca90 = []
poss = []
ga = []
psxg = []
def wait_until_element_is_present_by_id(driver, element):
try:
WebDriverWait(driver, 30).until(EC.presence_of_element_located((By.ID, element)))
except:
print('could not locate element %s' % (element))
def get_by_type(locator_type):
#def which generate locator type
#:param locator_type: str set by def which implement on SeleniumDriver class
#:return: tag type or False
locator_type = locator_type.lower()
if locator_type == 'id':
return By.ID
elif locator_type == 'name':
return By.NAME
elif locator_type == 'xpath':
return By.XPATH
elif locator_type == 'css':
return By.CSS_SELECTOR
elif locator_type == 'class':
return By.CLASS_NAME
elif locator_type == 'link':
return By.LINK_TEXT
elif locator_type == 'tag':
return By.TAG_NAME
else:
print("Locator type" + locator_type + " not correct/supported")
return False
def set_firefox_options():
try:
opts = webdriver.FirefoxOptions()
opts.headless = True
profile = webdriver.FirefoxProfile()
profile.set_preference("general.useragent.override",
"Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)")
return opts, profile
except:
raise Exception("Could not set firefox options for the browser. ")
def get_web_data():
try:
opts, profile = set_firefox_options()
driver = webdriver.Firefox()
driver.get("https://fbref.com/en/comps/12/La-Liga-Stats")
data_frames = create_data_frame_object(driver)
write_table_data_to_csv(data_frames)
except:
raise Exception("Could not get Web Data")
def get_table_data(driver, table_id, body_tag, row_tag):
try:
team_data = []
wait_until_element_is_present_by_id(driver, table_id)
table = driver.find_element(get_by_type('id'), table_id)
sleep(randint(3, 5))
body = table.find_element(get_by_type('tag'), body_tag)
sleep(randint(2, 4))
rows = body.find_elements(get_by_type('tag'), row_tag)
for row in rows:
row_class = row.get_attribute("class")
if "Real Madrid" in row.text:
print(row.text)
res_str = re.sub("Real Madrid", "RealMadrid", row.text)
print(res_str)
team_data.append(res_str)
elif "Atlético Madrid" in row.text:
print(row.text)
res_str = re.sub("Atlético Madrid", "Atletico", row.text)
print(res_str)
team_data.append(res_str)
elif "Athletic Club" in row.text:
print(row.text)
res_str = re.sub("Athletic Club", "AthleticBilbao", row.text)
print(res_str)
team_data.append(res_str)
elif "Real Sociedad" in row.text:
print(row.text)
res_str = re.sub("Real Sociedad", "RealSociedad", row.text)
print(res_str)
team_data.append(res_str)
elif "Rayo Vallecano" in row.text:
print(row.text)
res_str = re.sub("Rayo Vallecano", "RayoVallecano", row.text)
print(res_str)
team_data.append(res_str)
elif "Celta Vigo" in row.text:
print(row.text)
res_str = re.sub("Celta Vigo", "CeltaVigo", row.text)
print(res_str)
team_data.append(res_str)
elif "Alavés" in row.text:
print(row.text)
res_str = re.sub("Alavés", "Alaves", row.text)
print(res_str)
team_data.append(res_str)
elif "Cádiz" in row.text:
print(row.text)
res_str = re.sub("Cádiz", "Cadiz", row.text)
print(res_str)
team_data.append(res_str)
elif "Leganés" in row.text:
print(row.text)
res_str = re.sub("Leganés", "Leganes", row.text)
print(res_str)
team_data.append(res_str)
elif "La Coruña" in row.text:
print(row.text)
res_str = re.sub("La Coruña", "LaCoruna", row.text)
print(res_str)
team_data.append(res_str)
elif "Las Palmas" in row.text:
print(row.text)
res_str = re.sub("Las Palmas", "LasPalmas", row.text)
print(res_str)
team_data.append(res_str)
elif "Málaga" in row.text:
print(row.text)
res_str = re.sub("Málaga", "Malaga", row.text)
print(res_str)
team_data.append(res_str)
elif "Almería" in row.text:
print(row.text)
res_str = re.sub("Almería", "Almeria", row.text)
print(res_str)
team_data.append(res_str)
elif "vs" in row.text:
print(row.text)
res_str = re.sub("vs ", "vs", row.text)
print(res_str)
team_data.append(res_str)
elif row.text != "" and body_tag == 'tbody':
print(row.text)
team_data.append(row.text)
elif body_tag == 'thead' and row_class != "over_header":
res_str = re.sub("# Pl", "#Pl", row.text)
print(res_str)
team_data.append(res_str)
length = len(team_data)
if length > 1 and body_tag == 'thead':
team_data.pop(0)
return team_data
return team_data
except:
raise Exception("Could not get table data from table %s " %(table_id))
def create_data_frame(table1, table2):
try:
all_data = pd.np.concatenate((table1, table2))
spa_curr_stats = pd.read_csv(io.StringIO('\n'.join(all_data)), delim_whitespace=True, error_bad_lines=False, engine="python")
print(spa_curr_stats)
return spa_curr_stats
except:
raise Exception("Could not create dataframe with table %s. " %(table1))
def create_data_frame_object(driver):
try:
tables = ["all_stats_squads_keeper_adv", "all_stats_squads_shooting", "all_stats_squads_passing", "all_stats_squads_gca", "all_stats_squads_possession"]
data_frames = []
for i in range(len(tables)):
sleep(randint(2,4))
is_true = False
headers = get_table_data(driver, "{}".format(tables[i]), "thead", "tr")
data = get_table_data(driver, "{}".format(tables[i]), "tbody", "tr")
spa_curr_stats = create_data_frame(headers, data)
data_frames.append(spa_curr_stats)
return data_frames
except:
raise Exception("Could not create dataframe Object. ")
def write_table_data_to_csv(data_frames):
try:
current_directory = get_project_root()
BASE_DIR = os.path.dirname(current_directory)
print(BASE_DIR)
col_df = {
'ga': data_frames[0]['GA'],
'psxg': data_frames[0]['PSxG'],
'squad': data_frames[1]['Squad'],
'gp': data_frames[1]['90s'],
'gf': data_frames[1]['Gls'],
'xg': data_frames[1]['xG'],
'npxg': data_frames[1]['npxG'],
'npxG/Sh': data_frames[1]['npxG/Sh'],
'np:G-xG': data_frames[1]['np:G-xG'],
'prog': data_frames[2]['Prog'],
'sca90': data_frames[3]['SCA90'],
'gca90': data_frames[3]['GCA90'],
'poss': data_frames[4]['Poss']
}
spa_curr_stats = pd.DataFrame(col_df)
#df = pd.to_flat_index(col_df).union()
spa_curr_stats.to_csv('{base_dir}/data/laliga_{current_date}.csv'.format(base_dir=BASE_DIR, current_date=date.today()), index = False)
except:
raise Exception("Could not write column df to CSV. ")
def get_project_root():
print(os.path.abspath(os.path.dirname(__file__)))
return os.path.abspath(os.path.dirname(__file__))
get_web_data()
##########################################################
# germany data coll
gf = []
xg = []
gp = []
npxg = []
npxG_Sh = []
np_G_xG = []
prog = []
sca90 = []
gca90 = []
poss = []
ga = []
psxg = []
def wait_until_element_is_present_by_id(driver, element):
try:
WebDriverWait(driver, 30).until(EC.presence_of_element_located((By.ID, element)))
except:
print('could not locate element %s' % (element))
def get_by_type(locator_type):
#def which generate locator type
#:param locator_type: str set by def which implement on SeleniumDriver class
#:return: tag type or False
locator_type = locator_type.lower()
if locator_type == 'id':
return By.ID
elif locator_type == 'name':
return By.NAME
elif locator_type == 'xpath':
return By.XPATH
elif locator_type == 'css':
return By.CSS_SELECTOR
elif locator_type == 'class':
return By.CLASS_NAME
elif locator_type == 'link':
return By.LINK_TEXT
elif locator_type == 'tag':
return By.TAG_NAME
else:
print("Locator type" + locator_type + " not correct/supported")
return False
def set_firefox_options():
try:
opts = webdriver.FirefoxOptions()
opts.headless = True
profile = webdriver.FirefoxProfile()
profile.set_preference("general.useragent.override",
"Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)")
return opts, profile
except:
raise Exception("Could not set firefox options for the browser. ")
def get_web_data():
try:
opts, profile = set_firefox_options()
driver = webdriver.Firefox()
driver.get("https://fbref.com/en/comps/20/Bundesliga-Stats")
data_frames = create_data_frame_object(driver)
write_table_data_to_csv(data_frames)
except:
raise Exception("Could not get Web Data")
def get_table_data(driver, table_id, body_tag, row_tag):
try:
team_data = []
wait_until_element_is_present_by_id(driver, table_id)
table = driver.find_element(get_by_type('id'), table_id)
sleep(randint(3, 5))
body = table.find_element(get_by_type('tag'), body_tag)
sleep(randint(2, 4))
rows = body.find_elements(get_by_type('tag'), row_tag)
for row in rows:
row_class = row.get_attribute("class")
# bundesliga
if "Eint Frankfurt" in row.text:
print(row.text)
res_str = re.sub("Eint Frankfurt", "Frankfurt", row.text)
print(res_str)
team_data.append(res_str)
elif "Hertha BSC" in row.text:
print(row.text)
res_str = re.sub("Hertha BSC", "Hertha", row.text)
print(res_str)
team_data.append(res_str)
elif "M'Gladbach" in row.text:
print(row.text)
res_str = re.sub("M'Gladbach", "Gladbach", row.text)
print(res_str)
team_data.append(res_str)
elif "Bayern Munich" in row.text:
print(row.text)
res_str = re.sub("Bayern Munich", "Bayern", row.text)
print(res_str)
team_data.append(res_str)
elif "Mainz 05" in row.text:
print(row.text)
res_str = re.sub("Mainz 05", "Mainz", row.text)
print(res_str)
team_data.append(res_str)
elif "Greuther Fürth" in row.text:
print(row.text)
res_str = re.sub("Greuther Fürth", "GreutherFurth", row.text)
print(res_str)
team_data.append(res_str)
elif "Union Berlin" in row.text:
print(row.text)
res_str = re.sub("Union Berlin", "UnionBerlin", row.text)
print(res_str)
team_data.append(res_str)
elif "RB Leipzig" in row.text:
print(row.text)
res_str = re.sub("RB Leipzig", "RBLeipzig", row.text)
print(res_str)
team_data.append(res_str)
elif "Werder Bremen" in row.text:
print(row.text)
res_str = re.sub("Werder Bremen", "WerderBremen", row.text)
print(res_str)
team_data.append(res_str)
elif "Schalke 04" in row.text:
print(row.text)
res_str = re.sub("Schalke 04", "Schalke", row.text)
print(res_str)
team_data.append(res_str)
elif "Düsseldorf" in row.text:
print(row.text)
res_str = re.sub("Düsseldorf", "Dusseldorf", row.text)
print(res_str)
team_data.append(res_str)
elif "Paderborn 07" in row.text:
print(row.text)
res_str = re.sub("Paderborn 07", "Paderborn", row.text)
print(res_str)
team_data.append(res_str)
elif "Hannover 96" in row.text:
print(row.text)
res_str = re.sub("Hannover 96", "Hannover", row.text)
print(res_str)
team_data.append(res_str)
elif "Köln" in row.text:
print(row.text)
res_str = re.sub("Köln", "Koln", row.text)
print(res_str)
team_data.append(res_str)
elif "Hamburger SV" in row.text:
print(row.text)
res_str = re.sub("Hamburger SV", "Hamburg", row.text)
print(res_str)
team_data.append(res_str)
elif "vs" in row.text:
print(row.text)
res_str = re.sub("vs ", "vs", row.text)
print(res_str)
team_data.append(res_str)
elif row.text != "" and body_tag == 'tbody':
print(row.text)
team_data.append(row.text)
elif body_tag == 'thead' and row_class != "over_header":
res_str = re.sub("# Pl", "#Pl", row.text)
print(res_str)
team_data.append(res_str)
length = len(team_data)
if length > 1 and body_tag == 'thead':
team_data.pop(0)
return team_data
return team_data
except:
raise Exception("Could not get table data from table %s " %(table_id))
def create_data_frame(table1, table2):
try:
all_data = pd.np.concatenate((table1, table2))
ger_curr_stats = pd.read_csv(io.StringIO('\n'.join(all_data)), delim_whitespace=True, error_bad_lines=False, engine="python")
print(ger_curr_stats)
return ger_curr_stats
except:
raise Exception("Could not create dataframe with table %s. " %(table1))
def create_data_frame_object(driver):
try:
tables = ["all_stats_squads_keeper_adv", "all_stats_squads_shooting", "all_stats_squads_passing", "all_stats_squads_gca", "all_stats_squads_possession"]
#button_ids = ["stats_shooting_squads_for_per_match_toggle", "stats_passing_squads_for_per_match_toggle", "stats_gca_squads_for_per_match_toggle", "stats_possession_squads_for_per_match_toggle","stats_shooting_squads_against_per_match_toggle", "stats_passing_squads_against_per_match_toggle", "stats_gca_squads_against_per_match_toggle", "stats_possession_squads_against_per_match_toggle"]
# switcher_ids = ['switcher_stats_squads_shooting', 'switcher_stats_squads_passing', 'switcher_stats_squads_gca', 'switcher_stats_squad_possession']
data_frames = []
for i in range(len(tables)):
sleep(randint(2,4))
is_true = False
headers = get_table_data(driver, "{}".format(tables[i]), "thead", "tr")
data = get_table_data(driver, "{}".format(tables[i]), "tbody", "tr")
ger_curr_stats = create_data_frame(headers, data)
data_frames.append(ger_curr_stats)
return data_frames
except:
raise Exception("Could not create dataframe Object. ")
def write_table_data_to_csv(data_frames):
try:
current_directory = get_project_root()
BASE_DIR = os.path.dirname(current_directory)
print(BASE_DIR)
col_df = {
'ga': data_frames[0]['GA'],
'psxg': data_frames[0]['PSxG'],
'squad': data_frames[1]['Squad'],
'gp': data_frames[1]['90s'],
'gf': data_frames[1]['Gls'],
'xg': data_frames[1]['xG'],
'npxg': data_frames[1]['npxG'],
'npxG/Sh': data_frames[1]['npxG/Sh'],
'np:G-xG': data_frames[1]['np:G-xG'],
'prog': data_frames[2]['Prog'],
'sca90': data_frames[3]['SCA90'],
'gca90': data_frames[3]['GCA90'],
'poss': data_frames[4]['Poss']
}
ger_curr_stats = pd.DataFrame(col_df)
ger_curr_stats.to_csv('{base_dir}/data/bun_{current_date}.csv'.format(base_dir=BASE_DIR, current_date=date.today()), index = False)
except:
raise Exception("Could not write column df to CSV. ")
def get_project_root():
print(os.path.abspath(os.path.dirname(__file__)))
return os.path.abspath(os.path.dirname(__file__))
get_web_data()
####################################################
# france data coll
gf = []
xg = []
gp = []
npxg = []
npxG_Sh = []
np_G_xG = []
prog = []
sca90 = []
gca90 = []
poss = []
ga = []
psxg = []
def wait_until_element_is_present_by_id(driver, element):
try:
WebDriverWait(driver, 30).until(EC.presence_of_element_located((By.ID, element)))
except:
print('could not locate element %s' % (element))
def get_by_type(locator_type):
#def which generate locator type
#:param locator_type: str set by def which implement on SeleniumDriver class
#:return: tag type or False
locator_type = locator_type.lower()
if locator_type == 'id':
return By.ID
elif locator_type == 'name':
return By.NAME
elif locator_type == 'xpath':
return By.XPATH
elif locator_type == 'css':
return By.CSS_SELECTOR
elif locator_type == 'class':
return By.CLASS_NAME
elif locator_type == 'link':
return By.LINK_TEXT
elif locator_type == 'tag':
return By.TAG_NAME
else:
print("Locator type" + locator_type + " not correct/supported")
return False
def set_firefox_options():
try:
opts = webdriver.FirefoxOptions()
opts.headless = True
profile = webdriver.FirefoxProfile()
profile.set_preference("general.useragent.override",
"Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)")
return opts, profile
except:
raise Exception("Could not set firefox options for the browser. ")
def get_web_data():
try:
opts, profile = set_firefox_options()
driver = webdriver.Firefox()
driver.get("https://fbref.com/en/comps/13/Ligue-1-Stats")
data_frames = create_data_frame_object(driver)
write_table_data_to_csv(data_frames)
except:
raise Exception("Could not get Web Data")
def get_table_data(driver, table_id, body_tag, row_tag):
try:
team_data = []
wait_until_element_is_present_by_id(driver, table_id)
table = driver.find_element(get_by_type('id'), table_id)
sleep(randint(3, 5))
body = table.find_element(get_by_type('tag'), body_tag)
sleep(randint(2, 4))
rows = body.find_elements(get_by_type('tag'), row_tag)
for row in rows:
row_class = row.get_attribute("class")
if "Paris S-G" in row.text:
print(row.text)
res_str = re.sub("Paris S-G", "PSG", row.text)
print(res_str)
team_data.append(res_str)
elif "Clermont Foot" in row.text:
print(row.text)
res_str = re.sub("Clermont Foot", "Clermont", row.text)
print(res_str)
team_data.append(res_str)
elif "Saint-Étienne" in row.text:
print(row.text)
res_str = re.sub("Saint-Étienne", "Saint-Etienne", row.text)
print(res_str)
team_data.append(res_str)
elif "Nîmes" in row.text:
print(row.text)
res_str = re.sub("Nîmes", "Nimes", row.text)
print(res_str)
team_data.append(res_str)
elif "vs" in row.text:
print(row.text)
res_str = re.sub("vs ", "vs", row.text)
print(res_str)
team_data.append(res_str)
elif row.text != "" and body_tag == 'tbody':
print(row.text)
team_data.append(row.text)
elif body_tag == 'thead' and row_class != "over_header":
res_str = re.sub("# Pl", "#Pl", row.text)
print(res_str)
team_data.append(res_str)
length = len(team_data)
if length > 1 and body_tag == 'thead':
team_data.pop(0)
return team_data
return team_data
except:
raise Exception("Could not get table data from table %s " %(table_id))
def create_data_frame(table1, table2):
try:
all_data = pd.np.concatenate((table1, table2))
fra_curr_stats = pd.read_csv(io.StringIO('\n'.join(all_data)), delim_whitespace=True, error_bad_lines=False, engine="python")
print(fra_curr_stats)
return fra_curr_stats
except:
raise Exception("Could not create dataframe with table %s. " %(table1))
def create_data_frame_object(driver):
try:
tables = ["all_stats_squads_keeper_adv", "all_stats_squads_shooting", "all_stats_squads_passing", "all_stats_squads_gca", "all_stats_squads_possession"]
data_frames = []
for i in range(len(tables)):
sleep(randint(2,4))
is_true = False
headers = get_table_data(driver, "{}".format(tables[i]), "thead", "tr")
data = get_table_data(driver, "{}".format(tables[i]), "tbody", "tr")
fra_curr_stats = create_data_frame(headers, data)
data_frames.append(fra_curr_stats)
return data_frames
except:
raise Exception("Could not create dataframe Object. ")
def write_table_data_to_csv(data_frames):
try:
current_directory = get_project_root()
BASE_DIR = os.path.dirname(current_directory)
print(BASE_DIR)
col_df = {
'ga': data_frames[0]['GA'],
'psxg': data_frames[0]['PSxG'],
'squad': data_frames[1]['Squad'],
'gp': data_frames[1]['90s'],
'gf': data_frames[1]['Gls'],
'xg': data_frames[1]['xG'],
'npxg': data_frames[1]['npxG'],
'npxG/Sh': data_frames[1]['npxG/Sh'],
'np:G-xG': data_frames[1]['np:G-xG'],
'prog': data_frames[2]['Prog'],
'sca90': data_frames[3]['SCA90'],
'gca90': data_frames[3]['GCA90'],
'poss': data_frames[4]['Poss']
}
fra_curr_stats = pd.DataFrame(col_df)
#df = pd.to_flat_index(col_df).union()
fra_curr_stats.to_csv('{base_dir}/data/ligue1_{current_date}.csv'.format(base_dir=BASE_DIR, current_date=date.today()), index = False)
except:
raise Exception("Could not write column df to CSV. ")