8000 DOC: Add example to ``rng.beta(...)`` by linus-md · Pull Request #25413 · numpy/numpy · GitHub
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Merged
merged 3 commits into from
Dec 20, 2023
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DOC: Add example to rng.beta(...) #25413

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DOC: Add example to ``rng.beta(...)``
linus-md Dec 17, 2023
da05724
DOC: Improve ``beta`` example
linus-md Dec 19, 2023
1b35a60
DOC: Add whitespace
linus-md Dec 20, 2023
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DOC: Improve beta example 
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linus-md committed Dec 19, 2023
commit da05724b7c42497f0117304cfbfd23a503f89040
14 changes: 8 additions & 6 deletions numpy/random/_generator.pyx
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Expand Up @@ -398,8 +398,8 @@ cdef class Generator:

Examples
--------
If ``a == b`` and both are > 1, the distribution is symmetric with
mean 0.5.
The beta distribution has mean a/(a+b). If ``a == b`` and both
are > 1, the distribution is symmetric with mean 0.5.

>>> rng = np.random.default_rng()
>>> a, b, size = 2.0, 2.0, 10000
Expand All @@ -415,10 +415,12 @@ cdef class Generator:
>>> sample_left = rng.beta(a=a, b=b, size=size)
>>> sample_right = rng.beta(a=b, b=a, size=size)
>>> m_left, m_right = np.mean(sample_left), np.mean(sample_right)
>>> m_left, m_right
(0.22334081861904062, 0.7749320166133927) # may vary
>>> m_left + m_right
0.9982728352324334 # may vary
>>> print(m_left, m_right)
0.2238596793678923 0.7774613834041182 # may vary
>>> print(m_left - a/(a+b))
0.001637457145670096 # may vary
>>> print(m_right - b/(a+b))
-0.0003163943736596009 # may vary

Display the histogram of the two samples:
>>> import matplotlib.pyplot as plt
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