How to sort a dataFrame in python pandas by two or more columns?

Given a Pandas DataFrame, we have to sort a dataFrame by two or more columns. By Pranit Sharma Last updated : September 25, 2023

Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structures in pandas. DataFrames consist of rows, columns, and data.

Sorting refers to rearranging a series or a sequence in a particular fashion (ascending, descending, or in any specific pattern). Sorting in pandas DataFrame is required for effective analysis of the data.

Sorting a dataFrame by two or more columns

Pandas allow us to sort the DataFrame using pandas.DataFrame.sort_values() method which is used to sort by the values along either axis.

The syntax of the sort_values() method is:



  • by: name of sequence or column by which it should sort.
  • axis: Column to be sorted.(0 or 'axis' 1 or 'column') by default its 0 (column number)
  • There are some other parameters like: Ascending, inplace, kind, etc.

Let us understand with the help of an example,

Python program to sort a dataFrame in pandas by two or more columns

# Import pandas package
import pandas as pd

# import numpy package
import numpy as np

# Creating a dictionary
d = {
    'Name': ['Rajeev', 'Akhilesh', 'Sonu', 'Timak', 'Divyansh', 'Megha'],
    'Age': [56, 23, 28, 92, 77, 32]

# Creating a Dataframe
df = pd.DataFrame(d)

# Dispaly the dataframe
print('Created DataFrame:\n',df,"\n")

# Using the sorting function
result = df.sort_values(by=['Age'], ascending=True)

# Display result


The output of the above program is:

Example: sort a dataFrame in pandas by two or more columns

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