Created
February 25, 2019 22:21
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AirBnB post: Cleaning the data
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miss_listings = listings.isnull().sum() / len(listings) | |
miss_gr_05 = listings.columns[miss_listings > 0.5] | |
listings = listings.drop(miss_gr_05, axis=1); | |
miss_gr_03 = listings.columns[miss_listings > 0.3] | |
miss_vals_03 = miss_listings > 0.3; | |
print([col + ' ' + str(miss_listings[col]) for col in miss_gr_03]) | |
listings[['host_response_rate']] = listings['host_response_rate'].apply(lambda col: float(str(col).replace("%", ""))) | |
listings['host_response_rate'] = listings['host_response_rate'].fillna(np.mean(listings['host_response_rate'])); | |
listings['notes_exist'] = listings['notes'].isnull().astype('int'); | |
listings = listings.drop('notes', axis=1) | |
listings['host_response_time'] = listings['host_response_time'].fillna('not provided') | |
listings = listings.drop('access', axis=1) | |
listings = listings.drop('transit', axis=1) |
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