Fundamentals 7 min read

How to Seamlessly Switch Between Pyecharts V0.5 and V1 in Python

This guide explains why Pyecharts V0.5 and V1 are incompatible, and provides clear step‑by‑step pip commands to upgrade from the older version to V1 or downgrade from V1 to V0.5, including necessary map‑dependency installations to ensure proper chart rendering.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
How to Seamlessly Switch Between Pyecharts V0.5 and V1 in Python

Introduction

Pyecharts is a popular Python visualization library built on Echarts. Different projects may use either the older V0.5 or the newer V1, which are not compatible.

Switching from V0.5 to V1

If you have V0.5 installed, upgrade with a single pip command: pip install -U pyecharts The command updates the library to the latest V1 version.

Switching from V1 to V0.5

To downgrade, install the specific old version and required map packages:

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pyecharts==0.5.10
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple echarts-countries-pypkg
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple echarts-china-provinces-pypkg
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple echarts-china-cities-pypkg
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple echarts-china-counties-pypkg
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple echarts-china-misc-pypkg
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple echarts-united-kingdom-pypkg
pip install pyecharts_snapshot

Installing the map dependencies ensures that geographic charts render correctly; otherwise the output HTML will lack map images.

Conclusion

The article provides straightforward commands to upgrade or downgrade Pyecharts, helping developers maintain compatibility across different codebases.

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Python Crawling & Data Mining
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