Summary

Rationale: this work aims at providing an updated version of the previous work https://commons.wikimedia.org/wiki/File:Matplotlib_histogram_v.svg , done by IkamusumeFan,

Source code has been (very) slightly modified into fully object-oriented matplotlib interface. A pseudo-random generator is used with a constant seed to ensure reproducibility when updating in the futre. The original shebang was also removed.

The matplotlib (mpl) version is 1.5.3, with Python 2.7 and numpy 1.10

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## Code for the figure
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"""This generates an histogram of 200 normal distributed samples."""

import matplotlib.pyplot as plt
import numpy as np
prng = np.random.RandomState(123)  # Set a fix-seed PRNG for reproducibility

fig, ax = plt.subplots()

x = prng.normal(size=200)
ax.hist(x, bins=30)

fig.savefig("matplotlib_histogram.svg")
plt.show()
##########

Licensing

I, the copyright holder of this work, hereby publish it under the following license:

This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.

You are free:

• to share – to copy, distribute and transmit the work
• to remix – to adapt the work

Under the following conditions:

• attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
• share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

https://creativecommons.org/licenses/by-sa/4.0CC BY-SA 4.0 Creative Commons Attribution-Share Alike 4.0 truetrue

 

This W3C-unspecified plot was created with Matplotlib.