woodwork.datatable.DataTable.update_dataframe

DataTable.update_dataframe(new_df, already_sorted=False)

Replace the DataTable’s dataframe with a new dataframe, making sure the new dataframe dtypes are updated. If the original DataTable was created with make_index=True, an index column will be added to the updated data if it is not present.

Parameters

• new_df (DataFrame) – Dataframe containing the new data. The same columns present in the original data should also be present in the new dataframe.

• already_sorted (bool, optional) – Indicates whether the input dataframe is already sorted on the time index. If False, will sort the dataframe first on the time_index and then on the index (pandas DataFrame only). Defaults to False.

woodwork.datatable.DataTable.to_pickle woodwork.datatable.DataTable.value_counts