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| #pickle data scraped in section 1 | |
| dict_betfair = pickle.load(open('dict_betfair', 'rb')) | |
| #initialize storage (we'll use these dictionaries to match names between betfair and historical_data) | |
| dict_home_name_matching = {} | |
| dict_away_name_matching = {} | |
| #fill the dictionary with a list of names of all home and away teams that will play during the week | |
| for league in dict_betfair: | |
| dict_betfair[league][['home_team', 'away_team']] = dict_betfair[league]['Teams'].str.extract(r'(.+)\n(.+)') | |
| dict_home_name_matching[league] = dict_betfair[league].groupby('home_team', as_index=False).count()[['home_team']] | |
| dict_away_name_matching[league] = dict_betfair[league].groupby('away_team', as_index=False).count()[['away_team']] |
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