<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>visualisation on Tom Roth</title><link>https://tomroth.dev/tags/visualisation/</link><description>Recent content in visualisation on Tom Roth</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Thu, 18 Apr 2019 00:00:00 +0000</lastBuildDate><atom:link href="https://tomroth.dev/tags/visualisation/index.xml" rel="self" type="application/rss+xml"/><item><title>Change your plot theme for plotly or plotly_express</title><link>https://tomroth.dev/plotly-theme/</link><pubDate>Thu, 18 Apr 2019 00:00:00 +0000</pubDate><guid>https://tomroth.dev/plotly-theme/</guid><description>I made a scatter plot with plotly_express.
It didn&amp;rsquo;t look good. So I wondered how to change the theme.
It took me way too long to figure out.
First I looked through the documentation here. I didn&amp;rsquo;t seem to see any relevant source code. Instead was a bunch of stuff about creating a new theme. Not useful.
Finally I found code like fig.layout.template = 'plotly_dark' buried in an image. Turns out that&amp;rsquo;s how you do it.</description></item><item><title>A quick overview of Seaborn</title><link>https://tomroth.dev/seaborn/</link><pubDate>Mon, 17 Jul 2017 00:00:00 +0000</pubDate><guid>https://tomroth.dev/seaborn/</guid><description>Seaborn. A wrapper on top of matplotlib. Used to make plots, and to make them quicker, easier, and more beautiful.
Thank you for your service, matplotlib. Despite your flaws, you&amp;rsquo;ve guided us this far.
But it&amp;rsquo;s time to step aside.
Types of Seaborn plots Link to heading sns.boxplot() | generic boxplot sns.distplot() | histogram and kernel density estimate (KDE) plotted together sns.distplot(rug=True) | rugplot sns.kdeplot() | kernel density estimate plot sns.</description></item></channel></rss>