9 dataset_df = dataset_df.dropna(subset=['fullplot']) 10 print("\nNumber of missing values in each column after removal:") 11 print(dataset_df.isnull().sum()) 12 13 # Drop the existing plot embeddings as new ones will be generated 14 dataset_df = dataset_df.drop(columns=['plot...
dropna(inplace=True) data.info() <class 'pandas.core.frame.DataFrame'> DatetimeIndex: 2138 entries, 2010-01-04 to 2018-06-29 Data columns (total 1 columns): .SPX 2138 non-null float64 dtypes: float64(1) memory usage: 33.4 KB In [19]: data['rets'] = np.log(data / data.shift(...