matplotlib / matplotlib/ipympl
Need to create and update figures in seperate cells?
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
Something I've seen in previous versions as well as the current version: In order to have a figure that dynamically updates while some code is executing (e.g. tracking the loss function of an optimization), I have to create the figure in a separate jupyter notebook cell and run it before a I run the code that updates. If I don't do this, then a blank figure shows and never updates. I'm using Jupyter lab. Wondering if I'm doing something wrong here? It would make the code cleaner and easier to run if it could all be put in a single cell.
Example:
Using the following function:
```python
def update_function(fig, ax):
while True:
# Do some computation
ax.clear() #clear previously drawn
ax.plot(some_data)
fig.canvas.draw() #force it to update
```
This works:
```python
# cell 1
fig, ax = plt.subplots()
```
```python
# cell 2
update_function(fig, ax)
```
But this does not:
```python
# one combined cell
fig, ax = plt.subplots()
update_function(fig, ax)
```
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调研方向
该 issue 未指定任何 repository 文件或测试。首先在 JupyterLab 中复现单独单元格和合并单元格的示例,然后比较长时间运行的 update_function 如何影响渲染。当合并单元格按要求更新图形,或 issue 记录了已确认的限制及其正确的 workaround 时,即可视为完成。
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