<story><title>A Tour of Python’s Data Visualization Landscape, Including Ggplot and Altair</title><url>https://dansaber.wordpress.com/2016/10/02/a-dramatic-tour-through-pythons-data-visualization-landscape-including-ggplot-and-altair/</url></story><parent_chain></parent_chain><comment><author>listentojohan</author><text>Starting out with R and later moving more into Python I absolutely hate the seemingly unnecessary complexity of matplotlib. Honerable mention is also bokeh - &lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;bokeh.pydata.org&amp;#x2F;en&amp;#x2F;latest&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;bokeh.pydata.org&amp;#x2F;en&amp;#x2F;latest&amp;#x2F;&lt;/a&gt; which does a nice job.</text></comment>
<story><title>A Tour of Python’s Data Visualization Landscape, Including Ggplot and Altair</title><url>https://dansaber.wordpress.com/2016/10/02/a-dramatic-tour-through-pythons-data-visualization-landscape-including-ggplot-and-altair/</url></story><parent_chain></parent_chain><comment><author>adrianratnapala</author><text>&lt;i&gt;matplotlib: The 800-pound gorilla — and like most 800-pound gorillas, this one should probably be avoided unless you genuinely need its power...&lt;/i&gt;&lt;p&gt;Hmm, I never even considered that matplotlib was some sort of high-end powertool.  At least not when using the old-fashioned MATLABish API.  If the advantage of the competition is that they are supposed to be easier to use, then I will stick with matplotlib.</text></comment>