Davrot at 15:43, 17 October 2025

2025-10-17T15:43:04Z

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	~~== The goal ==~~
	Python Interactive window allows you to interactively develop code with VS Code.		Python Interactive window allows you to interactively develop code with VS Code.

Davrot: Created page with " == The goal == Python Interactive window allows you to interactively develop code with VS Code. Questions to [mailto:davrot@uni-bremen.de David Rotermund] '''Please use # %% with .py files instead of .ipynb Jupyter notebook files for interactive cells!!!''' If you don’t know what I am talking about, please read: [https://code.visualstudio.com/docs/python/jupyter-support-py Python Interactive window] == Executing a cell == In the cell mode (# %%) you can use * SHIF..."

2025-10-14T15:00:33Z

Created page with " == The goal == Python Interactive window allows you to interactively develop code with VS Code. Questions to [mailto:davrot@uni-bremen.de David Rotermund] '''Please use # %% with .py files instead of .ipynb Jupyter notebook files for interactive cells!!!''' If you don’t know what I am talking about, please read: [https://code.visualstudio.com/docs/python/jupyter-support-py Python Interactive window] == Executing a cell == In the cell mode (# %%) you can use * SHIF..."

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== The goal ==
Python Interactive window allows you to interactively develop code with VS Code.

Questions to [mailto:davrot@uni-bremen.de David Rotermund]

'''Please use # %% with .py files instead of .ipynb Jupyter notebook files for interactive cells!!!'''

If you don’t know what I am talking about, please read: [https://code.visualstudio.com/docs/python/jupyter-support-py Python Interactive window]

== Executing a cell ==
In the cell mode (# %%) you can use * SHIFT + ENTER to execute a cell or * CTRL + ENTER.

The former moves the cursor into the next cell, while the later keeps the cursor that the original position.

== [https://matplotlib.org/ipympl/ Interactive plotting in # %% cells] ==
<syntaxhighlight lang="shell">pip install ipympl</syntaxhighlight>We can activate the interactive plotting mode via<syntaxhighlight lang="python">%matplotlib widget </syntaxhighlight>The first time we use this command, vs code will need to download a plugin).

Here an example:<syntaxhighlight lang="python"># %%
%matplotlib widget

import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()

plt.plot(np.sin(np.linspace(0, 20, 100)))</syntaxhighlight>Yes, mypy will give you an error and yes, you can not suppress it… but non you can zoom and pan the figure… You can not have everything at once!

=== Modifing a plot ===
First we plot something but keep the handle:<syntaxhighlight lang="python"># %%
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
line = plt.plot(np.sin(np.linspace(0, 20, 100)))</syntaxhighlight>Then we can use to change the plot using the handle:<syntaxhighlight lang="python"># %%
line[0].remove()
line = plt.plot(np.sin(5.0*np.linspace(0, 20, 100)))</syntaxhighlight>If you don’t know the handle, you can retrieve it like this:<syntaxhighlight lang="python"># %%
handles = fig.gca().get_children()
print(handles)</syntaxhighlight><syntaxhighlight lang="python">[<matplotlib.lines.Line2D object at 0x7fe130f75310>, <matplotlib.spines.Spine object at 0x7fe130f1d710>, <matplotlib.spines.Spine object at 0x7fe130f1dcd0>, <matplotlib.spines.Spine object at 0x7fe130f1e210>, <matplotlib.spines.Spine object at 0x7fe130f1e750>, <matplotlib.axis.XAxis object at 0x7fe130f1ecd0>, <matplotlib.axis.YAxis object at 0x7fe1310b7350>, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), <matplotlib.patches.Rectangle object at 0x7fe130f3cf10>]</syntaxhighlight>This allows us to do this:<syntaxhighlight lang="python"># %%
fig.gca().get_children()[0].remove()</syntaxhighlight>

=== Re-Plotting ===
You can use<syntaxhighlight lang="python"># %%
display(fig)</syntaxhighlight>for replotting the plot. However you will get a message from VS Code that display is not defined. It is defined but it doesn’t know it.

VS Code Python Interactive window - Revision history

Davrot at 15:43, 17 October 2025