<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Matplotlib on DATATWEETS</title><link>https://datatweets.com/tags/matplotlib/</link><description>Recent content in Matplotlib on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2025 Datatweets</copyright><lastBuildDate>Fri, 03 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://datatweets.com/tags/matplotlib/index.xml" rel="self" type="application/rss+xml"/><item><title>Matplotlib, Seaborn, or Plotly? A Practical Guide to Picking a Chart Library</title><link>https://datatweets.com/blog/python-data-viz-libraries/</link><pubDate>Fri, 03 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/blog/python-data-viz-libraries/</guid><description>Matplotlib, seaborn, pandas&amp;rsquo; .plot(), and plotly all draw charts from the same DataFrame. This guide builds a mental model for choosing between them, then plots the same restaurant-tips data three different ways so you can see exactly what each one buys you.</description></item></channel></rss>