In [1]:

    

import pandas as pd


    

In [2]:

    

df_mix = pd.DataFrame({'col_int': [0, 1, 2], 'col_float': [0.1, 0.2, 0.3]}, index=['A', 'B', 'C'])
print(df_mix)


    

    




   col_int  col_float
A        0        0.1
B        1        0.2
C        2        0.3

In [3]:

    

print(df_mix.dtypes)


    

    




col_int        int64
col_float    float64
dtype: object

In [4]:

    

print(df_mix.loc['B'])


    

    




col_int      1.0
col_float    0.2
Name: B, dtype: float64

In [5]:

    

print(type(df_mix.loc['B']))


    

    




<class 'pandas.core.series.Series'>

In [6]:

    

print(df_mix.loc['B']['col_int'])


    

    




1.0

In [7]:

    

print(type(df_mix.loc['B']['col_int']))


    

    




<class 'numpy.float64'>

In [8]:

    

print(df_mix.at['B', 'col_int'])


    

    




1

In [9]:

    

print(type(df_mix.at['B', 'col_int']))


    

    




<class 'numpy.int64'>

In [10]:

    

print(df_mix.loc[['B']])


    

    




   col_int  col_float
B        1        0.2

In [11]:

    

print(type(df_mix.loc[['B']]))


    

    




<class 'pandas.core.frame.DataFrame'>

In [12]:

    

print(df_mix.loc[['B']].dtypes)


    

    




col_int        int64
col_float    float64
dtype: object