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This article is about how the python data visualization Pyecharts library sankey modifies the color of the mulberry chart. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

The main solution is how to customize / modify the desired color, as shown in the following mulberry figure:

To modify the Phenotype1, use the attribute color in itemStyle, add a dictionary attribute to each node, and set the desired color.

Nodes = [{"name':'Phenotype" # FA8072 "}}, {'name':'Phenotype" # FA8072 "}}, {' name':'Phenotype" # 87CEEB "}}, {'color':" # F5DEB3 "}}, {' color':" # F5DEB3 "}} {'name':'Young'}, {' name':'Medium'}, {'name':'Elder'}]

The modified mulberry figure is as follows:

It is important to note here:

1. If you do not set the color in itemStyle, the color of the mulberry figure drawn each time will be different and random.

2. The line_color attribute value of 'source' means that the color of the link line will be the same as that of the node.

3. In the property settings below, there are no attributes such as lable_color/label_background_color to control the node color, so don't try again! Please use color in itemStyle to set the color

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