Pandas version checks
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[X] I have confirmed this bug exists on the latest version of pandas.
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[X] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
>>> import pandas as pd
>>> pd.DataFrame.from_records({0:['bird']}) # WORKS
>>> pd.DataFrame.from_records({1:['bird']}) # WORKS
>>> pd.DataFrame.from_records(pd.Series({0:['bird']})) # WORKS
>>> pd.DataFrame.from_records(pd.Series({1:['bird']})) # FAILS KeyError: 0
>>> pd.DataFrame.from_records([pd.Series({1:['bird']})]) # WORKS
>>> pd.DataFrame(pd.Series({1:['bird']})) #WORKS
Output:
~/python3.9/site-packages/pandas/core/frame.py in from_records(cls, data, index, exclude, columns, coerce_float, nrows)
2071 arr_columns = columns
2072 else:
-> 2073 arrays, arr_columns = to_arrays(data, columns)
2074 if coerce_float:
2075 for i, arr in enumerate(arrays):
~/python3.9/site-packages/pandas/core/internals/construction.py in to_arrays(data, columns, dtype)
773 return [], ensure_index([])
774
--> 775 elif isinstance(data[0], Categorical):
776 # GH#38845 deprecate special case
777 warnings.warn(
~/python3.9/site-packages/pandas/core/series.py in __getitem__(self, key)
940
941 elif key_is_scalar:
--> 942 return self._get_value(key)
943
944 if is_hashable(key):
~/python3.9/site-packages/pandas/core/series.py in _get_value(self, label, takeable)
1049
1050 # Similar to Index.get_value, but we do not fall back to positional
-> 1051 loc = self.index.get_loc(label)
1052 return self.index._get_values_for_loc(self, loc, label)
1053
~/python3.9/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
3361 return self._engine.get_loc(casted_key)
3362 except KeyError as err:
-> 3363 raise KeyError(key) from err
3364
3365 if is_scalar(key) and isna(key) and not self.hasnans:
KeyError: 0
Issue Description
When generating a DataFrame using DataFrame.from_records() and a series with integer indices as input, the function fails due to a lookup of data[0] in ../pandas/core/internals/construction.to_arrays.
Expected Behavior
When determining if the data is categorical it should look at the first item in the data, not the item with key = 0
Installed Versions
INSTALLED VERSIONS
------------------
commit : 91111fd99898d9dcaa6bf6bedb662db4108da6e6
python : 3.9.15.final.0
python-bits : 64
OS : Linux
OS-release : 5.4.0-124-generic
Version : #140~18.04.1-Ubuntu SMP Fri Aug 5 11:43:34 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.5.1
numpy : 1.23.4
pytz : 2022.1
dateutil : 2.8.2
setuptools : 65.5.0
pip : 22.2.2
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.6.3
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.6.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : 1.3.5
brotli :
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.5.3
numba : None
numexpr : 2.8.4
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.9.3
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : 2.0.1
xlwt : 1.3.0
zstandard : None
tzdata : None
Comment From: phofl
Hi, thanks for your report. This is a duplicate of #40429