Create README.md

Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>

workflow/vscode_interactive/README.md

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+# Python Interactive window
+{:.no_toc}
+
+<nav markdown="1" class="toc-class">
+* TOC
+{:toc}
+</nav>
+
+## The goal
+
+Python Interactive window allows you to interactively develop code with VS Code. 
+
+Questions to [David Rotermund](mailto:davrot@uni-bremen.de)
+
+**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: [Python Interactive window](https://code.visualstudio.com/docs/python/jupyter-support-py)
+
+## Interactive plotting in # %% cells​
+
+We can activate the interactive plotting mode via ​
+
+```python
+%matplotlib widget ​
+```
+The first time we use this command, vs code will need to download a plugin).
+
+Here an example:
+
+```python
+%matplotlib widget
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+
+plt.plot(np.sin(np.linspace(0, 20, 100)))
+```
+
+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:
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+line = plt.plot(np.sin(np.linspace(0, 20, 100)))
+```
+
+Then we can use to change the plot using the handle:
+
+```python
+line[0].remove()
+line = plt.plot(np.sin(5.0*np.linspace(0, 20, 100)))
+```
+
+If you don't know the handle, you can retrieve it like this: 
+
+```python
+handles = fig.gca().get_children()
+print(handles)
+```
+
+```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>]
+```
+
+This allows us to do this: 
+
+```python
+fig.gca().get_children()[0].remove()
+```
+