w3resource

Pandas: Split a string of a column of a given DataFrame into multiple columns

Pandas: String and Regular Expression Exercise-23 with Solution

Write a Pandas program to split a string of a column of a given DataFrame into multiple columns.

Sample Solution:

Python Code :

import pandas as pd
df = pd.DataFrame({
    'name': ['Alberto  Franco','Gino Ann Mcneill','Ryan  Parkes', 'Eesha Artur Hinton', 'Syed  Wharton'],
    'date_of_birth ': ['17/05/2002','16/02/1999','25/09/1998','11/05/2002','15/09/1997'],
    'age': [18.5, 21.2, 22.5, 22, 23]
})
print("Original DataFrame:")
print(df)
df[["first", "middle", "last"]] = df["name"].str.split(" ", expand = True)
print("\nNew DataFrame:")
print(df)

Sample Output:

Original DataFrame:
                 name date_of_birth    age
0     Alberto  Franco     17/05/2002  18.5
1    Gino Ann Mcneill     16/02/1999  21.2
2        Ryan  Parkes     25/09/1998  22.5
3  Eesha Artur Hinton     11/05/2002  22.0
4       Syed  Wharton     15/09/1997  23.0

New DataFrame:
                 name date_of_birth    age    first middle     last
0     Alberto  Franco     17/05/2002  18.5  Alberto          Franco
1    Gino Ann Mcneill     16/02/1999  21.2     Gino    Ann  Mcneill
2        Ryan  Parkes     25/09/1998  22.5     Ryan          Parkes
3  Eesha Artur Hinton     11/05/2002  22.0    Eesha  Artur   Hinton
4       Syed  Wharton     15/09/1997  23.0     Syed         Wharton

Python Code Editor:


Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous:Write a Pandas program to replace more than one value with other values in a given dataframe.
Next: Write a Pandas program to extract email from a specified column of string type of a given DataFrame.

What is the difficulty level of this exercise?

Test your Python skills with w3resource's quiz



Python: Tips of the Day

Python: Time library

Time library provides lots of time related functions and methods and is good to know whether you're developing a website or apps and games or working with data science or trading financial markets. Time is essential in most development pursuits and Python's standard time library comes very handy for that.

Let's check out a few simple examples:

moment=time.strftime("%Y-%b-%d__%H_%M_%S",time.localtime())

import time
time_now=time.strftime("%H:%M:%S",time.localtime())
print(time_now)
date_now=time.strftime("%Y-%b-%d",time.localtime())
print(date_now)

Output:

11:36:34
2020-Nov-30