bigframes.pandas.DataFrame.to_records#

DataFrame.to_records(index:bool=True,column_dtypes=None,index_dtypes=None,*,allow_large_results=None)→recarray[source]#

Convert DataFrame to a NumPy record array.

Index will be included as the first field of the record array ifrequested.

Examples:

>>>df=bpd.DataFrame({'col1':[1,2],'col2':[3,4]})>>>df.to_records()rec.array([(0, 1, 3), (1, 2, 4)],          dtype=[('index', '<i8'), ('col1', '<i8'), ('col2', '<i8')])
Parameters:

  • index (bool,default True) – Include index in resulting record array, stored in ‘index’field or using the index label, if set.

  • column_dtypes (str,type,dict,default None) – If a string or type, the data type to store all columns. Ifa dictionary, a mapping of column names and indices (zero-indexed)to specific data types.

  • index_dtypes (str,type,dict,default None) – If a string or type, the data type to store all index levels. Ifa dictionary, a mapping of index level names and indices(zero-indexed) to specific data types.

  • allow_large_results (bool,default None) –

    If not None, overrides the global setting to allow or disallow largequery results over the default size limit of 10 GB.

    This mapping is applied only ifindex=True.

Returns:

NumPy ndarray with the DataFrame labels as fields and each rowof the DataFrame as entries.

Return type:

np.recarray

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