Matplotlib

This session is based on a Python files. When you open this file with Visual Studio Code, you will notice pseudo-cells prefixed as follows:

Clicking on Run Cell (or pressing Maj+Enter) runs an IPython kernel appearing (usually) on the right side of your screen.

This approach is comfortable to preliminary projects:

• you can run, debug the code as a usual Python file, making your work reproducible;
• you can explore ideas with a notebook style, making your work interactive.

Good practice    Consider this option before jumping to Jupyter notebooks when you start a new project. Notebooks are a natural choice for education materials, but they lack rigor in terms of software engineering and management.

The file is located in the python/ folder:

• matplotlib_demo.py

More exercices for Matplotlib

1. Trace the graph of function $t \mapsto e^{-t} \cdot \cos(2\,\pi\,t)$ for $t\in[0,5]$

2. Consider the polar coordinate curve defined by $r = \sin(5\,\theta)$, compute the x- and y- coordinates using Numpy functions, then plot the curve.

3. Start from the following code, and edit it through the followings steps to reach the final design:

   
   import matplotlib.pyplot as plt
   import numpy as np
   
   x = np.linspace(-np.pi, np.pi, 256, endpoint=True)
   c, s = np.cos(x), np.sin(x)
   
   fig, ax = plt.subplots()
   (cos_plot,) = ax.plot(x, c)
   (sin_plot,) = ax.plot(x, s)
   
   

   • Remove the top and right spines

   • Set x-tick values for multiples of $\pi$

   • Set x labels with the $\pi$ symbol

   • Move the spines so that they cross at 0, 0

   • Adjust further the y-axis

   • Annotate some points

   • Try to imagine some trick to get the following rendering

4. Take lessons from Exercice 3 to produce the following plot:

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