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.

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