Frontend Development 3 min read

Creating Liquid (Waterball) Charts with PyEcharts in Python

This guide demonstrates how to install PyEcharts, import necessary modules, and use the Liquid chart class to create customizable waterball charts in Python, including setting colors, shapes such as rectangle, diamond, round‑rect, triangle, and arrow, and rendering them to HTML files.

Python Programming Learning Circle
Python Programming Learning Circle
Python Programming Learning Circle
Creating Liquid (Waterball) Charts with PyEcharts in Python

The tutorial shows how to create liquid (waterball) charts using the PyEcharts library in Python.

First, install PyEcharts:

# Install the latest version of pyecharts
pip install pyecharts

Then import the required modules:

from pyecharts import options as opts
from pyecharts.charts import Liquid

The basic chart displays a completion rate of 50%:

c = (
    Liquid()
    .add("Completion Rate", [0.5], is_outline_show=False)
    .set_global_opts(title_opts=opts.TitleOpts(title="Business Completion", pos_left="center"))
    .render("liquid_chart.html")
)

To customize the color, add the color parameter:

c = (
    Liquid()
    .add("Completion Rate", [0.5], is_outline_show=False, color=['#DC143C'])
    .set_global_opts(title_opts=opts.TitleOpts(title="Business Completion", pos_left="center"))
    .render("liquid_chart.html")
)

Different shapes can be set by importing SymbolType and using the shape argument:

from pyecharts.globals import SymbolType
c = (
    Liquid()
    .add("Completion Rate", [0.5], is_outline_show=False, shape=SymbolType.RECT)
    .set_global_opts(title_opts=opts.TitleOpts(title="Business Completion", pos_left="center"))
    .render("rect_liquid_chart.html")
)

Replace SymbolType.RECT with SymbolType.DIAMOND , SymbolType.ROUND_RECT , SymbolType.TRIANGLE , or SymbolType.ARROW to obtain diamond, rounded‑rectangle, triangle, or arrow waterball charts respectively. Each variant can be rendered to its own HTML file.

All generated charts are saved as HTML files and can be viewed in a browser.

data visualizationpyechartsChart CustomizationLiquid Chart
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Python Programming Learning Circle

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