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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.
arr = [None] table = pa.table({"arr": pa.array(arr, 'float64').dictionary_encode()}) exchange_df = table.__dataframe__() result = pd.api.interchange.from_dataframe(exchange_df)
I get
IndexError Traceback (most recent call last) Cell In[2], line 4 2 table = pa.table({"arr": pa.array(arr, 'float64').dictionary_encode()}) 3 exchange_df = table.__dataframe__() ----> 4 result = pd.api.interchange.from_dataframe(exchange_df) File ~/tmp/.311venv/lib/python3.11/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 ~/tmp/.311venv/lib/python3.11/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 ~/tmp/.311venv/lib/python3.11/site-packages/pandas/core/interchange/from_dataframe.py:125, in protocol_df_chunk_to_pandas(df) 123 columns[name], buf = primitive_column_to_ndarray(col) 124 elif dtype == DtypeKind.CATEGORICAL: --> 125 columns[name], buf = categorical_column_to_series(col) 126 elif dtype == DtypeKind.STRING: 127 columns[name], buf = string_column_to_ndarray(col) File ~/tmp/.311venv/lib/python3.11/site-packages/pandas/core/interchange/from_dataframe.py:205, in categorical_column_to_series(col) 199 codes = buffer_to_ndarray( 200 codes_buff, codes_dtype, offset=col.offset, length=col.size() 201 ) 203 # Doing module in order to not get ``IndexError`` for 204 # out-of-bounds sentinel values in `codes` --> 205 values = categories[codes % len(categories)] 207 cat = pd.Categorical( 208 values, categories=categories, ordered=categorical["is_ordered"] 209 ) 210 data = pd.Series(cat) IndexError: index 0 is out of bounds for axis 0 with size 0
In [6]: result Out[6]: arr 0 NaN
commit : 042ebab python : 3.11.3.final.0 python-bits : 64 OS : Linux OS-release : 5.10.102.1-microsoft-standard-WSL2 Version : #1 SMP Wed Mar 2 00:30:59 UTC 2022 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_GB.UTF-8 LOCALE : en_GB.UTF-8
pandas : 2.1.0.dev0+696.g042ebab024 numpy : 1.24.1 pytz : 2022.7.1 dateutil : 2.8.2 setuptools : 65.6.3 pip : 22.3.1 Cython : 0.29.33 pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : None IPython : 8.8.0 pandas_datareader: None bs4 : None bottleneck : None brotli : None fastparquet : None fsspec : None gcsfs : None matplotlib : None numba : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : 11.0.0 pyreadstat : None pyxlsb : None s3fs : None scipy : 1.10.1 snappy : None sqlalchemy : None tables : None tabulate : None xarray : 2023.2.0 xlrd : None zstandard : None tzdata : 2023.3 qtpy : None pyqt5 : None None
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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 get
Expected Behavior
Installed Versions
INSTALLED VERSIONS
commit : 042ebab
python : 3.11.3.final.0
python-bits : 64
OS : Linux
OS-release : 5.10.102.1-microsoft-standard-WSL2
Version : #1 SMP Wed Mar 2 00:30:59 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8
pandas : 2.1.0.dev0+696.g042ebab024
numpy : 1.24.1
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 65.6.3
pip : 22.3.1
Cython : 0.29.33
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : 8.8.0
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 11.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : 2023.2.0
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None
None
The text was updated successfully, but these errors were encountered: