How to convert multiple lists into DataFrame?

Given multiple lists, we have to convert then into a Pandas DataFrame. By Pranit Sharma Last updated : September 21, 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 the data.

DataFrame can be created with the help of Python dictionaries or lists but in the real world, CSV files are imported and then converted into DataFrames here we are going to learn how to convert multiple lists into a DataFrame.

Problem statement

Given multiple lists, we have to convert then into a Pandas DataFrame.

Converting multiple lists into DataFrame

There are many ways to achieve this task but the simplest way to do this is to create a final list consisting of all the lists which we want inside a DataFrame and then apply pandas.DataFrame() method.


class pandas.DataFrame(

To work with pandas, we need to import pandas package first, below is the syntax:

import pandas as pd

Let us understand with the help of an example.

Python program to convert multiple lists into DataFrame

# Importing pandas package
import pandas as pd

# Creating an array
arr1 = ['Aman', 21, 18000]
arr2 = ['Gaurav', 21, 11000]
arr3 = ['Dhruv', 28, 8000]
arr4 = ['Yuvraj', 19, 5000]
arr5 = ['Divyansh', 24, 10700]
arr6 = ['Kohli', 23, 12300]

final_arr = [arr1,arr2,arr3,arr4,arr5,arr6]

# Creating a DataFrame
df = pd.DataFrame(final_arr, columns=['Name','Age','Salary'])

# Display created DataFrame
print("Created DataFrame:\n",df,"\n")


The output of the above program is:

Example: Convert multiple lists into DataFrame

Python Pandas Programs »

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