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7 Steps to Help You Make Your Matplotlib Bar Charts Beautiful | by Andy McDonald | Towards Data Science

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Bar charts are a commonly used data visualisation tool where categorical features are represented by bars of varying lengths/heights. The height or length of the bar corresponds to the value being represented for that category. Bar charts can easily be created in matplotlib. However, the matplotlib library is often regarded as a library that produces unexciting charts and can be challenging to work with. However, with perseverance, exploration, and a few extra lines of Python code, we can generate distinctive, aesthetically pleasing and informative figures. If you want to see what matplotlib is capable of with a little bit of extra work, then you may be interested in checking out my previous article: towardsdatascience.com Within this article, we will see how we can go from a boring figure like this: To one that looks like this: We will see how we can improve the story we are trying to tell with a few simple extra lines of python code. If you would like to see how this code is built fr

7 Steps to Help You Make Your Matplotlib Bar Charts Beautiful | Towards Data Science Data Science 7 Steps to Help You Make Your Matplotlib Bar Charts Beautiful Easily Improve the Quality of Your Matplotlib Data Visualisations With a Few Simple Tweaks Andy McDonald Mar 27, 2023 16 min read Share Matplotlib horizontal bar chart after changing several features to make it more visually appealing. Image by the author. Bar charts are a commonly used data visualisation tool where categorical features are represented by bars of varying lengths/heights. The height or length of the bar corresponds to th

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