Write a Python Pandas DataFrame to a CSV file

David Y.

The Problem

Using Python, how can I create a CSV file from a Pandas DataFrame? My DataFrame contains Unicode characters. Also, is there a way to use a character other than a comma as a delimiter?

The Solution

We can do this using the DataFrame object’s to_csv method, which provides several optional keyword arguments for handling different inputs and modifying its output. For example:

import pandas as pd data = { "Name": ["Alice", "Bob", "André"], "Age": [30, 25, 35], "City": ["New York", "Paris", "London"], } df = pd.DataFrame(data) df.to_csv("people.csv", index=False, encoding="utf-8", sep=";")

After creating our DataFrame, we save it to people.csv, using the following keyword arguments:

  • index=False: this will prevent the DataFrame’s row labels from being included in the CSV file.
  • encoding="utf-8": this ensures that the file is saved with UTF-8 encoding, preserving the Unicode character in “André.”
  • sep=";": this tells our function to create a CSV file that uses semicolons rather than commas as delimiters.

Our people.csv file should look like this:

Name;Age;City Alice;30;New York Bob;25;Paris André;35;London

Get Started With Sentry

Get actionable, code-level insights to resolve Python performance bottlenecks and errors.

  1. Create a free Sentry account

  2. Create a Python project and note your DSN

  3. Grab the Sentry Python SDK

pip install --upgrade sentry-sdk
  1. Configure your DSN
import sentry_sdk sentry_sdk.init( "https://<key>@sentry.io/<project>", # Set traces_sample_rate to 1.0 to capture 100% # of transactions for performance monitoring. # We recommend adjusting this value in production. traces_sample_rate=1.0, )

Loved by over 4 million developers and more than 90,000 organizations worldwide, Sentry provides code-level observability to many of the world’s best-known companies like Disney, Peloton, Cloudflare, Eventbrite, Slack, Supercell, and Rockstar Games. Each month we process billions of exceptions from the most popular products on the internet.

Share on Twitter
Bookmark this page
Ask a questionJoin the discussion

Related Answers

A better experience for your users. An easier life for your developers.

    TwitterGitHubDribbbleLinkedinDiscord
© 2024 • Sentry is a registered Trademark
of Functional Software, Inc.