Why does apply change dtype in pandas dataframe columns

Question

I have the following dataframe:

import pandas as pd
import numpy as np
df = pd.DataFrame(dict(A = np.arange(3), 
                         B = np.random.randn         


        

Answer 1

You can use parameter reduce=False and more info here:

print (df.apply(lambda x: x.dtype, reduce=False))

A             int32
B           float64
C            object
D    datetime64[ns]
dtype: object

In newer versions of pandas is possible use:

print (df.apply(lambda x: x.dtype, result_type='expand'))