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Showing content from https://cloud.google.com/python/docs/reference/bigframes/2.8.0/bigframes.pandas.Int64Dtype below:

Class Int64Dtype (2.8.0) | Python client library

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An ExtensionDtype for int64 integer data.

Uses pandas.NA as its missing value, rather than numpy.nan.

For Int8Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.Int8Dtype()) ser.dtype Int8Dtype()

For Int16Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.Int16Dtype()) ser.dtype Int16Dtype()

For Int32Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.Int32Dtype()) ser.dtype Int32Dtype()

For Int64Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.Int64Dtype()) ser.dtype Int64Dtype()

For UInt8Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.UInt8Dtype()) ser.dtype UInt8Dtype()

For UInt16Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.UInt16Dtype()) ser.dtype UInt16Dtype()

For UInt32Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.UInt32Dtype()) ser.dtype UInt32Dtype()

For UInt64Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.UInt64Dtype()) ser.dtype UInt64Dtype()

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Last updated 2025-08-12 UTC.

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