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Hands-on: Translation with broadcasting

Translate coordinates using broadcasting.
© CC-BY-NC-SA 4.0 by CSC - IT Center for Science

In this exercise we study NumPy broadcasting, which is powerful tool for dealing with different, but compatible shape arrays.

Source code for this exercise is located in numpy/broadcast-translation/

File numpy/broadcast-translation/points_circle.dat contains x, y coordinates along a
circle. Translate all the coordinates with some vector e.g. (2.1, 1.1). Plot
both the original and translated points in order to see the effect of the
translation.

In case you are not familiar with matplotlib, below is a simple example for plotting coordinates:

import numpy as np
import matplotlib.pyplot as plt

x = np.random.random(10)
y = np.random.random(10)
plt.plot(x, y, 'o')
plt.show()
© CC-BY-NC-SA 4.0 by CSC - IT Center for Science
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Python in High Performance Computing

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