matplotlib / matplotlib/ipympl
What prevents a figure showing before notebook cell completion?
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- 主要语言
- Jupyter Notebook
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描述
My issue boils down to:
"Why does the figure not show immediately, but instead waits until the cell has completed running?"
%matplotlib widget
import matplotlib.pyplot as plt
from time import sleep
fig = plt.figure()
plt.plot([1,2,3])
sleep(2)
This behaviour is preventing fun uses, like dynamic plotting in a single cell:
%matplotlib widget
from matplotlib import pyplot as plt
from time import sleep
import numpy as np
fig = plt.figure()
for i in range(10):
x, y = np.random.random(2)
plt.scatter(x, y)
fig.canvas.draw()
sleep(0.1)
The previous code works if one splits it into two cells, placing the figure() call in the first one:
# Cell 1
%matplotlib widget
from matplotlib import pyplot as plt
from time import sleep
import numpy as np
fig = plt.figure()
# Cell 2
for i in range(10):
x, y = np.random.random(2)
plt.scatter(x, y)
fig.canvas.draw()
sleep(0.1)
Edit: I also note that in the qt backend, there figure and plot are shown immediately, in contrast to the ipympl behaviour.
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调研方向
该 issue 未指出源文件或测试。首先使用 %matplotlib widget 后端重现单元格和拆分单元格示例,然后将 fig.canvas.draw() 的行为与 Qt 后端进行比较;确定原因和适当的渲染行为后,即视为完成。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- jupyter, jupyter-notebook, 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
- 需要澄清
- 新手友好度
- 35/100