matplotlib / matplotlib/ipympl
figure changes size at end of loop if drawn dynamically
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- Jupyter Notebook
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Description
As per the title, consider the following snippet:
import time
import ipympl
import matplotlib.pyplot as plt
fig, ax = plt.subplots(1, 1, figsize=(5, 5))
data = []
plt.show()
for idx in range(4):
data.append(idx ** 2)
ax.clear()
ax.plot(data)
fig.canvas.draw()
time.sleep(0.2)
and this is what I get running it:
I used plt.show() at the beginning of the loop because nothing gets drawn otherwise.
Is there a way to avoid this?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by running the provided Python snippet in a Jupyter Notebook with ipympl and observe the figure resizing during the loop. Trace the dynamic draw behavior used by the example, then verify that the figure keeps its intended size across all four updates.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, matplotlib, python
- Domain
- data-visualization, frontend
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100