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The code currently calls np.min() on the data which fails when the data is empty. This does not happen for any other downcast.
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/.../lib/python3.7/site-packages/pandas/core/tools/numeric.py", line 163, in to_numeric
elif downcast == "unsigned" and np.min(values) >= 0:
File "<__array_function__ internals>", line 6, in amin
File "/.../lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 2793, in amin
keepdims=keepdims, initial=initial, where=where)
File "/.../lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 90, in _wrapreduction
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
ValueError: zero-size array to reduction operation minimum which has no identity
Expected Output
array([], dtype=uint8)
Output of pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.6.final.0
python-bits : 64
OS : Darwin
OS-release : 19.3.0
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8
Code Sample, a copy-pastable example if possible
Problem description
The code currently calls
np.min()
on the data which fails when the data is empty. This does not happen for any other downcast.Expected Output
array([], dtype=uint8)
Output of
pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.6.final.0
python-bits : 64
OS : Darwin
OS-release : 19.3.0
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8
pandas : 1.0.1
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 20.0.2
setuptools : 41.2.0
Cython : None
pytest : 5.3.5
hypothesis : None
sphinx : None
blosc : None
feather : 0.4.0
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.1
IPython : 7.13.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : 0.6.0
lxml.etree : None
matplotlib : 3.1.3
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 0.16.0
pytables : None
pytest : 5.3.5
pyxlsb : None
s3fs : None
scipy : 1.4.1
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
numba : 0.48.0
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