azureml/serialization.py
def serialize_dataframe(writer, data_type_id, dataframe):
    """
    Serialize a dataframe.

    Parameters
    ----------
    writer : file
        File-like object to write to. Must be opened in binary mode.
    data_type_id : dict
        Serialization format to use.
        See the azureml.DataTypeIds class for constants.
    dataframe: pandas.DataFrame
        Dataframe to serialize.
    """
    _not_none('writer', writer)
    _not_none_or_empty('data_type_id', data_type_id)
    _not_none('dataframe', dataframe)

    serializer = _SERIALIZERS.get(data_type_id)
    if serializer is None:
        raise UnsupportedDatasetTypeError(data_type_id)
    serializer[0](writer=writer, dataframe=dataframe)
def serialize_dataframe(writer, data_type_id, dataframe):
    _not_none('writer', writer)
    _not_none_or_empty('data_type_id', data_type_id)
    _not_none('dataframe', dataframe)

    serializer = _SERIALIZERS.get(data_type_id)
    if serializer is None:
        raise UnsupportedDatasetTypeError(data_type_id)
    serializer[0](writer=writer, dataframe=dataframe)
def serialize_dataframe ( writer , data_type_id , dataframe ) : _not_none ( 'writer' , writer ) _not_none_or_empty ( 'data_type_id' , data_type_id ) _not_none ( 'dataframe' , dataframe ) serializer = _SERIALIZERS . get ( data_type_id ) if serializer is None : raise UnsupportedDatasetTypeError ( data_type_id ) serializer [ 0 ] ( writer = writer , dataframe = dataframe )
Serialize a dataframe.

    Parameters
    ----------
    writer : file
        File-like object to write to. Must be opened in binary mode.
    data_type_id : dict
        Serialization format to use.
        See the azureml.DataTypeIds class for constants.
    dataframe: pandas.DataFrame
        Dataframe to serialize.
Serialize a dataframe .