Pandas isin equivalent for float or int

Question

I have a dataframe with column A populated with numbers 1-9. I want to filter just on numbers 2 and 3. isin does not work for float dtypes. Is there an alternative?

something similar to:

df=df.loc[df['ColA'].isin([2,3])]

Answer 1

I think if need test 2.0, 3.0, 2, 3 your solution working well.

df = pd.DataFrame({'ColA': [2.0, 6, -1, 3.0]})
print (df.loc[df['ColA'].isin([2,3])])
   ColA
0   2.0
3   3.0

If need convert floats to integers:

df=df.loc[df['ColA'].astype(int).isin([2,3])]