Created
November 19, 2019 02:20
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MA - Removal Effects
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| def removal_effects(df, conversion_rate): | |
| removal_effects_dict = {} | |
| channels = [channel for channel in df.columns if channel not in ['Start', | |
| 'Null', | |
| 'Conversion']] | |
| for channel in channels: | |
| removal_df = df.drop(channel, axis=1).drop(channel, axis=0) | |
| for column in removal_df.columns: | |
| row_sum = np.sum(list(removal_df.loc[column])) | |
| null_pct = float(1) - row_sum | |
| if null_pct != 0: | |
| removal_df.loc[column]['Null'] = null_pct | |
| removal_df.loc['Null']['Null'] = 1.0 | |
| removal_to_conv = removal_df[ | |
| ['Null', 'Conversion']].drop(['Null', 'Conversion'], axis=0) | |
| removal_to_non_conv = removal_df.drop( | |
| ['Null', 'Conversion'], axis=1).drop(['Null', 'Conversion'], axis=0) | |
| removal_inv_diff = np.linalg.inv( | |
| np.identity( | |
| len(removal_to_non_conv.columns)) - np.asarray(removal_to_non_conv)) | |
| removal_dot_prod = np.dot(removal_inv_diff, np.asarray(removal_to_conv)) | |
| removal_cvr = pd.DataFrame(removal_dot_prod, | |
| index=removal_to_conv.index)[[1]].loc['Start'].values[0] | |
| removal_effect = 1 - removal_cvr / conversion_rate | |
| removal_effects_dict[channel] = removal_effect | |
| return removal_effects_dict | |
| removal_effects_dict = removal_effects(trans_matrix, base_conversion_rate) |
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https://gist.github.com/MortenHegewald/fb1d8051cd818c25283cbcbc4b587e5c
KeyError: 'Null'
hey i am getting this error. can you help me out with it