Description
The following MWE shows the issue:
import pandas as pd
import pint_pandas
a = pd.Series(index=[1,2],data=pint_pandas.PintArray([0.,1.], u.mm))
b = pd.Series(index=[2,3],data=pint_pandas.PintArray([2.,3.], u.s))
pd.concat([a,b],axis="columns")With "normal" pint columns, the code works as expected. I partially traced the error down to
pint-pandas/pint_pandas/pint_array.py
Line 475 in c58a7fc
which seems to create a 0-d numpy array instead of a numpy scalar.
This may be an impact of a recent change in either pint_pandas or numpy; I already observed that my int(round(some_quantity/other_quantity_of_same_dim)) started to fail and now require a int(round(float(...))) construct.
The relevant versions in my environment are:
numpy: 1.23.5
pandas: 1.5.1
pint: 0.20.1
pint_pandas: 0.3