azureml/serialization.py
def deserialize_dataframe(reader, data_type_id):
    """
    Deserialize a dataframe.

    Parameters
    ----------
    reader : file
        File-like object to read from. Must be opened in binary mode.
    data_type_id : dict
        Serialization format of the raw data.
        See the azureml.DataTypeIds class for constants.

    Returns
    -------
    pandas.DataFrame
        Dataframe object.
    """
    _not_none('reader', reader)
    _not_none_or_empty('data_type_id', data_type_id)

    serializer = _SERIALIZERS.get(data_type_id)
    if serializer is None:
        raise UnsupportedDatasetTypeError(data_type_id)
    return serializer[1](reader=reader)
def deserialize_dataframe(reader, data_type_id):
    _not_none('reader', reader)
    _not_none_or_empty('data_type_id', data_type_id)

    serializer = _SERIALIZERS.get(data_type_id)
    if serializer is None:
        raise UnsupportedDatasetTypeError(data_type_id)
    return serializer[1](reader=reader)
def deserialize_dataframe ( reader , data_type_id ) : _not_none ( 'reader' , reader ) _not_none_or_empty ( 'data_type_id' , data_type_id ) serializer = _SERIALIZERS . get ( data_type_id ) if serializer is None : raise UnsupportedDatasetTypeError ( data_type_id ) return serializer [ 1 ] ( reader = reader )
Deserialize a dataframe.

    Parameters
    ----------
    reader : file
        File-like object to read from. Must be opened in binary mode.
    data_type_id : dict
        Serialization format of the raw data.
        See the azureml.DataTypeIds class for constants.

    Returns
    -------
    pandas.DataFrame
        Dataframe object.
Deserialize a dataframe .