In [1]:

    

import pandas as pd


    

In [2]:

    

df = pd.DataFrame({'a': ['abcde', 'fghij', 'klmno'],
                   'b': [123, 456, 789]})


    

In [3]:

    

print(df)


    

    




       a    b
0  abcde  123
1  fghij  456
2  klmno  789

In [4]:

    

print(df.dtypes)


    

    




a    object
b     int64
dtype: object

In [5]:

    

print(df['a'].str[:2])


    

    




0    ab
1    fg
2    kl
Name: a, dtype: object

In [6]:

    

print(df['a'].str[-2:])


    

    




0    de
1    ij
2    no
Name: a, dtype: object

In [7]:

    

print(df['a'].str[::2])


    

    




0    ace
1    fhj
2    kmo
Name: a, dtype: object

In [8]:

    

print(df['a'].str[2])


    

    




0    c
1    h
2    m
Name: a, dtype: object

In [9]:

    

print(df['a'].str[0])


    

    




0    a
1    f
2    k
Name: a, dtype: object

In [10]:

    

print(df['a'].str[-1])


    

    




0    e
1    j
2    o
Name: a, dtype: object

In [11]:

    

df['a_head'] = df['a'].str[:2]
print(df)


    

    




       a    b a_head
0  abcde  123     ab
1  fghij  456     fg
2  klmno  789     kl

In [12]:

    

# print(df['b'].str[:2])
# AttributeError: Can only use .str accessor with string values, which use np.object_ dtype in pandas


    

In [13]:

    

print(df['b'].astype(str).str[:2])


    

    




0    12
1    45
2    78
Name: b, dtype: object

In [14]:

    

print(df['b'].astype(str).str[:2].astype(int))


    

    




0    12
1    45
2    78
Name: b, dtype: int64

In [15]:

    

print((df['b'] / 10).astype(int))


    

    




0    12
1    45
2    78
Name: b, dtype: int64