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Describe the bug
Pandas allows object dtype that can contain values of arbitrary types, cudf is converting that column to the actual type of the values in it.
Steps/Code to reproduce bug
In [1]: importpandasaspdIn [2]: s=pd.Series([1, 2, 3], dtype='object')
In [3]: importcudfIn [4]: gs=cudf.from_pandas(s)
In [5]: gsOut[5]:
011223dtype: int64In [6]: s.dtypeOut[6]: dtype('O')
In [7]: gs.dtypeOut[7]: dtype('int64')
Expected behavior
We shouldn't be allowing this behavior as we don't have a true object dtype.
Environment overview (please complete the following information)
Environment location: [Bare-metal]
Method of cuDF install: [from source]
The text was updated successfully, but these errors were encountered:
Describe the bug
Pandas allows
object
dtype that can contain values of arbitrary types,cudf
is converting that column to the actual type of the values in it.Steps/Code to reproduce bug
Expected behavior
We shouldn't be allowing this behavior as we don't have a true
object
dtype.Environment overview (please complete the following information)
The text was updated successfully, but these errors were encountered: