Hacktoberfest 2026:维护者为十月标记出来的 issue,仍然开放、适合新手。 浏览 Hacktoberfest issue

Blank figures in Jupyter notebook

未关闭
#556 24 条评论 2 个 reaction 已指派 0 人 在 GitHub 查看

还没有人认领这个 Issue。

评估

难度
4/5
预计耗时
3-5 天
新手友好度
45/100
Issue 类型
缺陷
描述清晰度
基本清楚
活跃度
冷清
技术栈
jupyter, jupyter-notebook, python

调研方向

使用列出的虚拟环境命令和 ipympl 基本示例重现空白图。首先检查报告的 Python、JupyterLab、notebook、ipympl 和 widget 版本及其兼容性。完成标准是找出原因,并记录适用于交互式图的可靠诊断方法或软件包版本修复方案。

由索引模型根据 Issue 内容生成。

描述

bug

I have happily used interactive plots in jupyter notebooks for years with %matplotlib notebook. Unfortunately, since version 7 was introduced, I have experienced troubles with getting interactive plotting to work properly. I read that version 7 requires installing ipympl and %matplotlib ipympl.

Today, I set up a fresh virtual environment and installed jupyter and ipympl. Figures are opening, the controls appear, a figure title appears, but the figure contains no content. There is also no error message on the browser's developer console.

Steps to reproduce:

# Create virtual environment
python3 -m venv debug
source debug/bin/activate

# Install jupyter and ipympl
pip install jupyter ipympl matplotlib numpy

# Open notebook
jupyter notebook

Then I use the code from the basic example

%matplotlib ipympl
import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots()
x = np.linspace(0, 2*np.pi, 100)
y = np.sin(3*x)
ax.plot(x, y)

A white area is opening, the controls appear, but there is no figure content.

I have seen several similar issues on Stackoverflow, where the solution is usually to upgrade or downgrade one of the packages. However, these answers have aged as newer versions came out in the meantime. Is there a general recipe to identify the issue when interactive plotting fails?

Versions

Python: 3.12.3
ipympl version: 0.9.4
IPython          : 8.25.0
ipykernel        : 6.29.4
ipywidgets       : 8.1.3
jupyter_client   : 8.6.2
jupyter_core     : 5.7.2
jupyter_server   : 2.14.1
jupyterlab       : 4.2.1
nbclient         : 0.10.0
nbconvert        : 7.16.4
nbformat         : 5.10.4
notebook         : 7.2.0
qtconsole        : 5.5.2
traitlets        : 5.14.3
jupyter labextension list 
JupyterLab v4.2.1
/home/bene/local/venvs/debug/share/jupyter/labextensions
        jupyterlab_pygments v0.3.0 enabled OK (python, jupyterlab_pygments)
        jupyter-matplotlib v0.11.4 enabled OK
        @jupyter-widgets/jupyterlab-manager v5.0.11 enabled OK (python, jupyterlab_widgets)
        @jupyter-notebook/lab-extension v7.2.0 enabled OK
主要语言
Jupyter Notebook
星标
1.7k
派生
234
PR 合并指标
30 天内没有已合并 PR

环境准备

  • 没有 Dockerfile 或 Docker Compose 文件
  • 没有 Pull Request 模板
  • 阅读贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

matplotlib/ipympl 的其他 Issue

查看 matplotlib/ipympl 的全部 Issue

相似的 Issue

更多 Data Visualization Issue

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。