Visualization in Python

What's one of the most important part of analyzing financial markets, or data science in general? There are several answers. If you don't have any data to start with, there's not really going to be more to analyze. Once you get the data, it needs to be cleaned, before the analysis etc. Once all the number crunching is done, visualization is key to explain the results. 

There are many commercial tools you can use for visualization. Excel is probably the most popular, as well as more specialized visualisation tools, like Tableau. If you're using Python, there are many libraries to do data visualisations, which can range from simple line charts to much more complex ones, where you can control all sorts of properties. Here I'm going to go through a few of these visualization libraries. It's not an exhaustive list, just a few that I've used (and some that I'd hope to use in future).

Matplotlib - is probably one of the most well known of Python's visualization libraries..

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