dataframe_to_n_dimensional_sparse_array

pandas_utils.numpy_conversions.dataframe_to_n_dimensional_sparse_array(df, dimension_cols, value_col, sparse_value_maps=None, warning_action='default', fill_value=0)

Convert a pandas.DataFrame to a sparse.COO matrix.

Parameters:

• df (DataFrame) –

• dimension_cols (dict[Any, list[Any]]) –

• value_col (Any) –

• sparse_value_maps (dict[Any, dict[Any, int]] | None) –

• warning_action (Literal['default', 'error', 'ignore', 'always', 'module', 'once']) –

• fill_value (number | int | float) –

Return type:

tuple[COO, dict[Any, dict[Any, int]]]