b5034279b48ae96ffdd4714f96e0f62b0f4807fc,category_encoders/ordinal.py,OrdinalEncoder,ordinal_encoding,#Any#Any#Any#Any#Any#,239

Before Change

        if mapping is not None:
            mapping_out = mapping
            for switch in mapping:
                categories_dict = dict(switch.get("mapping"))
                column = switch.get("col")
                transformed_column = X[column].map(lambda x: categories_dict.get(x, np.nan))

                try:

After Change

                try:
                    X[column] = X[column].astype(int)
                except ValueError as e:
                    X[column] = X[column].astype(float)

                if impute_missing:
                    if handle_unknown == "impute":
                        X[column].fillna(0, inplace=True)

Instances