訊息
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二項分布
>>> from pylab import *
>>> from scipy.stats import *
>>> [ n, p ] = [10, 0.3]
>>> x = scipy.linspace(0,10,11)
>>> pmf = binom.pmf(x,n,p)
>>> plot(x,pmf)
[<matplotlib.lines.Line2D object at 0x0440C290>]
>>> poisson.extradoc
'\n\nPoisson distribution\n\npoisson.pmf(k, mu) = exp(-mu) * mu**k / k!\nfor k >= 0\n'
>>>
>>> from scipy.stats import binom
>>> [ n, p ] = [10, 0.3]
>>> brv = binom(n, p)
>>> x = np.arange(0, np.minimum(brv.dist.b, 3))
>>> h = plt.vlines(x, 0, brv.pmf(x), lw=2)
>>> prb = binom.cdf(x, n, p)
>>> h = plt.semilogy(np.abs(x - binom.ppf(prb, n, p)) + 1e-20)
>>> R = binom.rvs(n, p, size=100)
>>> R
array([4, 1, 3, 0, 3, 5, 3, 3, 3, 4, 3, 5, 1, 4, 6, 8, 1, 4, 3, 7, 2, 2, 3,
1, 4, 5, 1, 4, 3, 3, 5, 5, 3, 3, 3, 3, 1, 2, 3, 2, 3, 4, 3, 3, 1, 1,
5, 3, 3, 2, 6, 3, 8, 3, 3, 1, 2, 4, 2, 0, 4, 1, 1, 3, 5, 6, 4, 3, 3,
3, 4, 4, 3, 2, 3, 2, 1, 9, 3, 4, 0, 1, 3, 3, 4, 3, 5, 3, 3, 3, 1, 5,
2, 2, 0, 2, 3, 1, 4, 4])
>>> import scipy, scipy.stats
>>> x = scipy.linspace(0,10,11)
>>> pmf = scipy.stats.binom.pmf(x,10,0.3)
>>> import pylab
>>> pylab.plot(x,pmf)
>>> from scipy.stats import *
>>> poisson.extradoc
'\n\nPoisson distribution\n\npoisson.pmf(k, mu) = exp(-mu) * mu**k / k!\nfor k >= 0\n'
常態分布
>>> import numpy.random
>>> normal(5,2,100)
array([ 3.21471036, 5.26492657, 7.70783675, 2.45057301, 3.38467506,
6.02133021, 5.54276479, 3.26465946, 8.25837716, 4.39272658,
1.24767395, 4.33467667, 3.6443019 , 6.49579066, 6.86866816,
4.59111526, 3.51287367, 2.56129962, 4.81363112, 2.63946308,
4.9807356 , 1.85818983, 6.15656543, 8.27378843, 3.83604829,
5.33750668, 4.96560262, 3.52112677, 3.2764357 , 2.60515476,
5.21304892, 5.61690169, 7.50435424, 6.0863938 , 7.7009313 ,
3.65751577, 3.62680564, 2.63720339, 6.21006112, 6.35392547,
8.22454502, 5.41087811, 7.68067589, 9.06213807, 1.40528522,
5.29779808, 5.42503552, 6.05408346, 2.76095598, 8.9789405 ,
6.54901084, 3.51942225, 3.25304462, 7.55555912, 2.53087829,
5.24182882, 2.8376421 , 4.93349075, 4.28160442, 4.23970118,
5.41912371, 3.42975451, 4.4068796 , 5.81515187, 5.84498129,
4.07861343, 1.8709632 , 5.42019151, 4.84400278, 3.65720382,
6.69450148, 5.06283132, 5.70210134, 5.64788014, 7.04476919,
2.74535951, 5.2997555 , 7.46769138, 2.08309793, 5.24436093,
3.9783337 , 4.49827403, 3.93028157, 6.73267554, 4.72471469,
3.25538104, 5.74261214, 3.11882094, 3.46840247, 6.17753036,
1.6790931 , 5.95095584, 7.52904972, 7.69310604, 4.20202791,
6.36995648, 2.48046827, 8.39468623, 5.16113417, 8.90246688])
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