slice() to slice string to get substrings in the series or index in Pandas.str methods

Break the string to get substrings .
Returns Series or Index of object

Options

By using start=1 we can mark the starting of the substring. Note that first char is at position 0.

import pandas as pd 
my_dict={'NAME':['Ravi','Raju','Alex']}
df = pd.DataFrame(data=my_dict)
print(df.NAME.str.slice(start=1))

Output

0    avi
1    aju
2    lex

Using from end or right side ( start = -1 )

import pandas as pd 
my_dict={'NAME':['Ravi','Raju','Alex']}
df = pd.DataFrame(data=my_dict)
print(df.NAME.str.slice(start=-1))

Output

0    i
1    u
2    x

stop

We can use stop=2 to return the substring ending at 2^nd position. ( first char is at 0^th position)

import pandas as pd 
my_dict={'NAME':['Ravi','Raju','Alex']}
df = pd.DataFrame(data=my_dict)
print(df.NAME.str.slice(stop=2))

Output

0    Ra
1    Ra
2    Al

start & stop

import pandas as pd 
my_dict={'NAME':['Ravi','Raju','Alex']}
df = pd.DataFrame(data=my_dict)
print(df.NAME.str.slice(start=1,stop=3))

output

0    av
1    aj
2    le

step

Same process can be repeated by using step.

import pandas as pd 
my_dict={'NAME':['Ravi','Raju','Alex']}
df = pd.DataFrame(data=my_dict)
print(df.NAME.str.slice(step=2))

Output

0    Rv
1    Rj
2    Ae

Using start stop step

import pandas as pd 
my_dict={'NAME':['RaviKing','RajuQueen','AlexMinister']}
df = pd.DataFrame(data=my_dict)
print(df.NAME.str.slice(start=1,stop=10,step=2))

Output

0     aiig
1     auue
2    lxiit

Pandas contains() Converting char case split()

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str.slice()

Options

stop

start & stop

step

Using start stop step

Subhendu Mohapatra