bigframes.pandas.DataFrame.to_orc#

DataFrame.to_orc(path=None,*,allow_large_results=None,**kwargs)→bytes|None[source]#

Write a DataFrame to the ORC format.

Examples:

>>>df=bpd.DataFrame({'col1':[1,2],'col2':[3,4]})>>>importtempfile>>>df.to_orc(tempfile.TemporaryFile())
Parameters:

  • path (str,file-like object orNone,default None) – If a string, it will be used as Root Directory pathwhen writing a partitioned dataset. By file-like object,we refer to objects with a write() method, such as a file handle(e.g. via builtin open function). If path is None,a bytes object is returned.

  • allow_large_results (bool,default None) – If not None, overrides the global setting to allow or disallowlarge query results over the default size limit of 10 GB.

Returns:

If buf is None, returns the result as bytes. Otherwise returnsNone.

Return type:

bytes or None

On this page

This Page