How to Create Empty DataFrame in Pandas

To create empty DataFrame in Pandas, don't add any row data while constructing new DataFrame and in return, you will get empty DataFrame.

To create a DataFrame from different sources of data or other Python data types like  list,  dictionary, use constructors of DataFrame() class. In this example, we will learn different ways of how to create empty Pandas DataFrame.

How to Create Empty DataFrame

To create empty DataFrame in Pandas, don’t add any row data while constructing new DataFrame, and in return, you will get empty DataFrame.

## app.py

import pandas as pd

dfObj = pd.DataFrame(columns=['ID', 'Name', 'Age'])
print(dfObj, sep='\n')

pandas python

In this post, we will learn about pandas’ data structures/objects. Pandas provide two type of data structures:- ### Pandas Series Pandas Series is a one dimensional indexed data, which can hold datatypes like integer, string, boolean, float...

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In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

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