Simple Data visualization with Pyecharts

Learn to generate amazing charts using Pyecharts with ease!

Data visualization is a big topic of Python, and today you will learn a great visualization tool. You will be able to make great charts with simple commands. This article will pick several classical examples in this library, and you can use those examples in your own data science project!

Have you ever tried to make a commit graph like github? No problem, let’s say how Pyecharts does it:

After this program, you will get graph like this:

You can also make Gauge charts with ease! Many times the traditional data visualization library will not provide this choice, but now you can make it with ease! See the example code:

If you want to specify where the arrow points to, you can change the part of 75.5 to any number you want. If your number is above the maximum, it will stay at the maximum. Also, you have the choice to specify the color range！ The way you do it is to change the color parameter of LineStyleOpts. The first element of the tuple of the color will be…

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