morpheus.utils.schema_transforms
Functions
process_dataframe () |
Applies column transformations to the input dataframe as defined by the input_schema . |
- process_dataframe(df_in: pandas.DataFrame, input_schema: morpheus.utils.column_info.DataFrameInputSchema) → pandas.DataFrame[source]
- process_dataframe(df_in: cudf.DataFrame, input_schema: morpheus.utils.column_info.DataFrameInputSchema) → cudf.DataFrame
Applies column transformations to the input dataframe as defined by the
input_schema
.If
input_schema
is an instance ofDataFrameInputSchema
, and it has a ‘json_preproc’ attribute, the function will first flatten the JSON columns and concatenate the results with the original DataFrame.- Parameters
- df_inUnion[pd.DataFrame, cudf.DataFrame]
The input DataFrame to process.
- input_schemaUnion[DataFrameInputSchema]
Defines the transformations to apply to ‘df_in’. with JSON columns preprocessed if ‘json_preproc’ attribute is present.
- Returns
- Union[pd.DataFrame, cudf.DataFrame]
The processed DataFrame. If ‘df_in’ was a pd.DataFrame, the return type is also pd.DataFrame, otherwise, it is cudf.DataFrame.