109 lines
2.5 KiB
Markdown
109 lines
2.5 KiB
Markdown
# Python Interactive window
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{:.no_toc}
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<nav markdown="1" class="toc-class">
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* TOC
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{:toc}
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</nav>
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## The goal
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Python Interactive window allows you to interactively develop code with VS Code.
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Questions to [David Rotermund](mailto:davrot@uni-bremen.de)
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**Please use # %% with .py files instead of .ipynb Jupyter notebook files for interactive cells!!!**
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If you don't know what I am talking about, please read: [Python Interactive window](https://code.visualstudio.com/docs/python/jupyter-support-py)
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## Executing a cell
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In the cell mode (# %%) you can use
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* SHIFT + ENTER to execute a cell or
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* CTRL + ENTER.
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The former moves the cursor into the next cell, while the later keeps the cursor that the original position.
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## [Interactive plotting in # %% cells](https://matplotlib.org/ipympl/)
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```shell
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pip install ipympl
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```
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We can activate the interactive plotting mode via
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```python
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%matplotlib widget
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```
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The first time we use this command, vs code will need to download a plugin).
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Here an example:
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```python
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# %%
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%matplotlib widget
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import matplotlib.pyplot as plt
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import numpy as np
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fig = plt.figure()
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plt.plot(np.sin(np.linspace(0, 20, 100)))
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```
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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!
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### Modifing a plot
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First we plot something but keep the handle:
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```python
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# %%
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import matplotlib.pyplot as plt
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import numpy as np
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fig = plt.figure()
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line = plt.plot(np.sin(np.linspace(0, 20, 100)))
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```
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Then we can use to change the plot using the handle:
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```python
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# %%
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line[0].remove()
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line = plt.plot(np.sin(5.0*np.linspace(0, 20, 100)))
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```
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If you don't know the handle, you can retrieve it like this:
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```python
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# %%
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handles = fig.gca().get_children()
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print(handles)
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```
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```python
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[<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>]
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```
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This allows us to do this:
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```python
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# %%
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fig.gca().get_children()[0].remove()
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```
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### Re-Plotting
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You can use
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```python
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# %%
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display(fig)
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```
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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.
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