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I'm trying to use the dataframe interchange protocol with pandas dataframes holding int extension dtypes, but I can't convert to interchange and back because the extension dtypes don't have a byteorder attribute.
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/core/interchange/from_dataframe.py:54, in from_dataframe(df, allow_copy)
51 if not hasattr(df, "dataframe"):
52 raise ValueError("df does not support dataframe")
---> 54 return _from_dataframe(df.dataframe(allow_copy=allow_copy))
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/core/interchange/from_dataframe.py:75, in _from_dataframe(df, allow_copy)
73 pandas_dfs = []
74 for chunk in df.get_chunks():
---> 75 pandas_df = protocol_df_chunk_to_pandas(chunk)
76 pandas_dfs.append(pandas_df)
78 if not allow_copy and len(pandas_dfs) > 1:
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/core/interchange/from_dataframe.py:116, in protocol_df_chunk_to_pandas(df)
114 raise ValueError(f"Column {name} is not unique")
115 col = df.get_column_by_name(name)
--> 116 dtype = col.dtype[0]
117 if dtype in (
118 DtypeKind.INT,
119 DtypeKind.UINT,
120 DtypeKind.FLOAT,
121 DtypeKind.BOOL,
122 ):
123 columns[name], buf = primitive_column_to_ndarray(col)
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/_libs/properties.pyx:36, in pandas._libs.properties.CachedProperty.get()
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/core/interchange/column.py:126, in PandasColumn.dtype(self)
124 raise NotImplementedError("Non-string object dtypes are not supported yet")
125 else:
--> 126 return self._dtype_from_pandasdtype(dtype)
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/core/interchange/column.py:141, in PandasColumn._dtype_from_pandasdtype(self, dtype)
137 if kind is None:
138 # Not a NumPy dtype. Check if it's a categorical maybe
139 raise ValueError(f"Data type {dtype} not supported by interchange protocol")
--> 141 return kind, dtype.itemsize * 8, dtype_to_arrow_c_fmt(dtype), dtype.byteorder
AttributeError: 'Int8Dtype' object has no attribute 'byteorder'
Expected Behavior
pd.api.interchange.from_dataframe(df.__dataframe__()) should not raise an error and should give back the original dataframe.
Installed Versions
INSTALLED VERSIONS
commit : 0f43794
python : 3.8.16.final.0
python-bits : 64
OS : Darwin
OS-release : 22.6.0
Version : Darwin Kernel Version 22.6.0: Wed Jul 5 22:21:56 PDT 2023; root:xnu-8796.141.3~6/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
Pandas version checks
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
Issue Description
I'm trying to use the dataframe interchange protocol with pandas dataframes holding int extension dtypes, but I can't convert to interchange and back because the extension dtypes don't have a
byteorder
attribute.Details
AttributeError Traceback (most recent call last)
Cell In[7], line 4
1 import pandas as pd
3 df = pd.DataFrame({'a': [1]}, dtype=pd.Int8Dtype())
----> 4 pd.api.interchange.from_dataframe(df.dataframe())
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/core/interchange/from_dataframe.py:54, in from_dataframe(df, allow_copy)
51 if not hasattr(df, "dataframe"):
52 raise ValueError("
df
does not support dataframe")---> 54 return _from_dataframe(df.dataframe(allow_copy=allow_copy))
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/core/interchange/from_dataframe.py:75, in _from_dataframe(df, allow_copy)
73 pandas_dfs = []
74 for chunk in df.get_chunks():
---> 75 pandas_df = protocol_df_chunk_to_pandas(chunk)
76 pandas_dfs.append(pandas_df)
78 if not allow_copy and len(pandas_dfs) > 1:
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/core/interchange/from_dataframe.py:116, in protocol_df_chunk_to_pandas(df)
114 raise ValueError(f"Column {name} is not unique")
115 col = df.get_column_by_name(name)
--> 116 dtype = col.dtype[0]
117 if dtype in (
118 DtypeKind.INT,
119 DtypeKind.UINT,
120 DtypeKind.FLOAT,
121 DtypeKind.BOOL,
122 ):
123 columns[name], buf = primitive_column_to_ndarray(col)
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/_libs/properties.pyx:36, in pandas._libs.properties.CachedProperty.get()
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/core/interchange/column.py:126, in PandasColumn.dtype(self)
124 raise NotImplementedError("Non-string object dtypes are not supported yet")
125 else:
--> 126 return self._dtype_from_pandasdtype(dtype)
File ~/anaconda3/envs/ponder-dev/lib/python3.8/site-packages/pandas/core/interchange/column.py:141, in PandasColumn._dtype_from_pandasdtype(self, dtype)
137 if kind is None:
138 # Not a NumPy dtype. Check if it's a categorical maybe
139 raise ValueError(f"Data type {dtype} not supported by interchange protocol")
--> 141 return kind, dtype.itemsize * 8, dtype_to_arrow_c_fmt(dtype), dtype.byteorder
AttributeError: 'Int8Dtype' object has no attribute 'byteorder'
Expected Behavior
pd.api.interchange.from_dataframe(df.__dataframe__())
should not raise an error and should give back the original dataframe.Installed Versions
INSTALLED VERSIONS
commit : 0f43794
python : 3.8.16.final.0
python-bits : 64
OS : Darwin
OS-release : 22.6.0
Version : Darwin Kernel Version 22.6.0: Wed Jul 5 22:21:56 PDT 2023; root:xnu-8796.141.3~6/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.0.3
numpy : 1.24.3
pytz : 2023.3
dateutil : 2.8.2
setuptools : 67.8.0
pip : 23.2.1
Cython : None
pytest : 7.3.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.1.2
lxml.etree : 4.9.3
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.12.0
pandas_datareader: None
bs4 : 4.12.2
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2023.6.0
gcsfs : None
matplotlib : 3.7.1
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 10.0.1
pyreadstat : None
pyxlsb : None
s3fs : 0.4.2
scipy : 1.10.1
snappy : None
sqlalchemy : 2.0.19
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
zstandard : 0.21.0
tzdata : 2023.3
qtpy : None
pyqt5 : None
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