You need to enable JavaScript to run this app.
优惠活动
大模型
产品
解决方案
定价
更多

Jupyter Lab中Matplotlib InlineBackend报错:NameError: '_fetch_figure_metadata'未定义

Solution for NameError: '_fetch_figure_metadata' in Jupyter Lab 4.0.11 with Matplotlib

This error usually arises from version mismatches between Matplotlib, Jupyter Lab, and its visualization extensions. Try these targeted fixes:

1. Install/verify the Jupyter Lab Matplotlib extension

Jupyter Lab 4.x depends on the jupyterlab-matplotlib extension to render Matplotlib plots properly. Ensure it's installed:

conda install -c conda-forge jupyterlab-matplotlib

Restart Jupyter Lab completely after installation.

2. Update Matplotlib and ipympl to compatible versions

Outdated or mismatched versions of Matplotlib and the ipympl backend often trigger this error. Update both packages:

conda update -c conda-forge matplotlib ipympl

3. Switch to the ipympl widget backend

Replace the inline backend with the widget backend, which integrates better with Jupyter Lab 4.x. Modify your code like this:

import matplotlib.pyplot as plt
%matplotlib widget

img = plt.imread('komodo.jpg')
plt.axis("off")
plt.imshow(img)

This bypasses the faulty metadata fetching logic in the inline backend.

4. Clean Jupyter Lab's cached files

Corrupted cache from the update might be causing issues. Run this command to clear them:

jupyter lab clean

Restart Jupyter Lab after cleaning.

5. Create a fresh conda environment (last resort)

If other fixes fail, a fresh environment eliminates leftover package conflicts:

# Create new environment
conda create -n jupyter-lab-fresh python=3.10
# Activate environment
conda activate jupyter-lab-fresh
# Install required packages
conda install -c conda-forge jupyterlab matplotlib ipympl

Launch Jupyter Lab from this environment and test your code again.

内容的提问来源于stack exchange,提问作者Code_Zoro

相关产品推荐
方舟 Agent Plan

超全模态模型 × Harness 升级,最新支持 Deepseek-V4.1-Flash、GLM-5.3 系列、Doubao-Seedream-5.0-pro、Kimi-K3 (部分), 限时 9.9 元起

最近更新时间:2026.06.26 10:01:06