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| #2.String matching | |
| teams_1 = df_tipico['Teams'].tolist() | |
| teams_2 = df_bwin['Teams'].tolist() | |
| teams_3 = df_betfair['Teams'].tolist() | |
| #team names and scores matched | |
| df_tipico[['Teams_matched_bwin', 'Score_bwin']] = df_tipico['Teams'].apply(lambda x:process.extractOne(x, teams_2, scorer=fuzz.token_set_ratio)).apply(pd.Series) | |
| df_tipico[['Teams_matched_betfair', 'Score_betfair']] = df_tipico['Teams'].apply(lambda x:process.extractOne(x, teams_3, scorer=fuzz.token_set_ratio)).apply(pd.Series) | |
| df_bwin[['Teams_matched_betfair', 'Score_betfair']] = df_bwin['Teams'].apply(lambda x:process.extractOne(x, teams_3, scorer=fuzz.token_set_ratio)).apply(pd.Series) | |
| df_surebet_tipico_bwin = pd.merge(df_tipico, df_bwin, left_on='Teams_matched_bwin', right_on='Teams') | |
| df_surebet_tipico_bwin = df_surebet_tipico_bwin[df_surebet_tipico_bwin['Score_bwin']>60] | |
| df_surebet_tipico_bwin = df_surebet_tipico_bwin[['Teams_x', 'btts_x', 'Teams_y', 'btts_y']] | |
| df_surebet_tipico_betfair = pd.merge(df_tipico, df_betfair, left_on='Teams_matched_betfair', right_on='Teams') | |
| df_surebet_tipico_betfair = df_surebet_tipico_betfair[df_surebet_tipico_betfair['Score_betfair']>60] | |
| df_surebet_tipico_betfair = df_surebet_tipico_betfair[['Teams_x', 'btts_x', 'Teams_y', 'btts_y']] | |
| df_surebet_bwin_betfair = pd.merge(df_bwin, df_betfair, left_on='Teams_matched_betfair', right_on='Teams') | |
| df_surebet_bwin_betfair = df_surebet_bwin_betfair[df_surebet_bwin_betfair['Score_betfair']>60] | |
| df_surebet_bwin_betfair = df_surebet_bwin_betfair[['Teams_x', 'btts_x', 'Teams_y', 'btts_y']] |
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