This is what a hand-drawn chart in Python looks like! Come and see how to do it!

You may be used to making different diagrams using Matplotlib and Seaborn, but today we are going to introduce a very cool Python freehand style visualization package: Cutecharts.

This package can be used to generate the following diagrams that look hand-drawn, perhaps better in some scenarios. These lovely charts are also interactive and dynamic. Whenever the mouse hovers over the chart, the numbers are displayed. To create such a chart, you only need a few lines of Python code.

Currently, the library supports five charts — bar, line, pie, radar, and scatter. It also supports diagram composition.

Before we can start drawing cute charts, we need to install the Cutechart library.

Once installed, let’s try to draw bar and line graphs. Let’s start by creating data. Take the temperature data of a city as an example.

1. Bar chart

Code:

Effect:

In this bar chart, all the bars have the same color. If you want to customize the color of each bar chart, you only need to change one line of code.

2, line graph,

If you want to observe the variation difference of time series data, the line graph is undoubtedly more intuitive.

Code:

There is also a special feature:

When you hover over the chart, it automatically displays labels with numbers, and a dotted line is drawn to make the difference between this week’s temperature and last week’s more intuitive.

3. Radar map

To change the line diagram to a Radar diagram, you simply change the diagram type to CTC.radar.

Code: