Pythonデータサイエンスハンドブック ―Jupyter、NumPy、pandas、Matplotlib、scikit-learnを使ったデータ分析、機械学習

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NumPy

の基礎

print("gamma(x) =", special.gamma(x))

print("ln|gamma(x)| =", special.gammaln(x))

print("beta(x, 2) =", special.beta(x, 2))

gamma(x) = [ 1.00000000e+00 2.40000000e+01 3.62880000e+05]

ln|gamma(x)| = [ 0. 3.17805383 12.80182748]

beta(x, 2) = [ 0.5 0.03333333 0.00909091]

In[23]: # Error function (integral of Gaussian)

誤差関数（ガウス関数の積分）および

# its complement, and its inverse

相補誤差関数と逆誤差関数

x = np.array([0, 0.3, 0.7, 1.0])

print("erf(x) =", special.erf(x))

print("erfc(x) =", special.erfc(x))

print("erfinv(x) =", special.erfinv(x))

erf(x) = [ 0. 0.32862676 0.67780119 0.84270079]

erfc(x) = [ 1. 0.67137324 0.32219881 0.15729921]

erfinv(x) = [ 0. ...