How to save Pandas DataFrame as CSV file in Python

Hits: 78

How to save Pandas DataFrame as CSV file in Python

Saving a Pandas DataFrame as a CSV file in Python can be done by using the to_csv() function. This function allows you to export a DataFrame as a CSV file, which can be easily opened and read by other programs.

First, you need to import the Pandas library and create a DataFrame. For example, you can create a DataFrame with some sample data.

import pandas as pd

data = {'product': ['Apple', 'Banana', 'Cherry', 'Date', 'Eggplant'],

'price': [1.2, 2.3, 2.5, 1.7, 2.0],

'quantity': [3, 5, 2, 4, 8]}

df = pd.DataFrame(data)

Next, you can use the to_csv() function to save the DataFrame as a CSV file. The to_csv() function takes several parameters, but the most important one is the file name.

For example, to save the DataFrame as a CSV file called ‘data.csv’, you can use the following code:

df.to_csv('data.csv', index=False)

You can also use other parameters like sep,header,na_rep etc. of to_csv() function to define the format of the file.

By using the to_csv() function, you can easily save a Pandas DataFrame as a CSV file in Python. This can be useful for data analysis and sharing, as CSV files can be easily opened and read by other programs. This can also be used to store the data for later use or for backup purpose.


In this Learn through Codes example, you will learn: How to save Pandas DataFrame as CSV file in Python.


Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.

Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners