matplotlib / matplotlib/ipympl
Failed to execute 'drawImage' on 'CanvasRenderingContext2D' when Canvas instance is embedded in the ipywidgets layout
还没有人认领这个 Issue。
- 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
描述
For my project, it is required to embed Canvas from the ipympl backend in the ipywidgets Layout or AppLayout.
It worked perfectly with version 0.7.0, but with all newer versions the plot image is not rendered in the canvas with exception in Crome browser: `Error setting state: Failed to execute 'drawImage' on 'CanvasRenderingContext2D': The HTMLImageElement provided is in the 'broken' state. `
The minimum example:
```
import numpy as np
from matplotlib.figure import Figure
from ipympl.backend_nbagg import Canvas as Canvas, FigureManager
class PlotWidget(Canvas):
__num__ = 0
def __init__(self, **kwargs):
Canvas.__init__(self, Figure(dpi=100, figsize=(6, 5.5)))
self.resizable = False
self.header_visible=False
fig = self.figure
ax = fig.add_subplot(1, 1, 1)
self.lines, = ax.plot(np.linspace(0, 1, 100), np.linspace(0, 1, 100), 'o-', markersize=2, linewidth=2)
manager = FigureManager(self, self.__num__)
self.__num__+=1
self.draw()
import ipywidgets.widgets as widgets
from ipywidgets import AppLayout, Layout
class Layout(AppLayout):
def __init__(self, **kwargs):
AppLayout.__init__(self, **kwargs)
self.center = PlotWidget(**kwargs)
if "pane_widths" not in kwargs:
self.pane_widths = [1, '650px', '0px']
if "pane_heights" not in kwargs:
self.pane_heights = ['0px', '300px', '0px']
app = Layout()
display(app)
```
贡献指南
从这里开始
- 先读完整个 Issue,再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库,在一个分支上完成修改。
- 提交 Pull Request,并在描述里引用这个 Issue 编号。
调研方向
Start with the provided minimum example using ipympl's backend_nbagg Canvas inside an ipywidgets AppLayout, and reproduce the broken-image error in Chrome. Compare behavior between version 0.7.0 and newer versions; done means the plot renders in the embedded canvas without the drawImage exception.
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- javascript, jupyter-notebook, matplotlib, python
- 领域
- data-visualization, frontend
- Issue 类型
- 缺陷
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 38/100