<p>Scipy有许多概率分布<a href="http://docs.scipy.org/doc/scipy/reference/stats.html" rel="nofollow noreferrer">built in</a>,文档中的一些函数示例(许多):</p>
<blockquote>
<p><code>norm</code>: A normal continuous random variable.</p>
<p><code>alpha</code>: An alpha continuous random variable.</p>
<p><code>beta</code>: A beta continuous random variable.</p>
<p><code>chi</code>: A chi continuous random variable.</p>
<p><code>erlang</code>: An Erlang continuous random variable.</p>
<p><code>gamma</code>: A gamma continuous random variable.</p>
<p>...</p>
</blockquote>
<p>关于如何从分布中绘制并绘制<code>norm, beta, chi and alpha</code>的一些示例:</p>
<pre><code>from scipy.stats import *
from pylab import hist, show,subplot
N = 2000
subplot(221)
X = norm.rvs(size=N)
hist(X,normed=True,bins=30)
subplot(222)
X = beta.rvs(2,1,size=N)
hist(X,normed=True,bins=30)
subplot(223)
X = chi.rvs(2.0, size=N)
hist(X,normed=True,bins=30)
subplot(224)
X = gamma.rvs(1.0, size=N)
hist(X,normed=True,bins=30)
show()
</code></pre>
<p><img src="https://i.stack.imgur.com/DCpQ1.png" alt="enter image description here"/></p>