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- #1.1-1.2
- from scipy.special import gamma, factorial
- import matplotlib.pyplot as plt
- import numpy as np
- from scipy.stats import norm
- x = np.linspace(-3.5, 5.5, 2251)
- y = gamma(x)
- plt.plot(x, y, 'b', alpha=0.6, label='gamma(x)')
- plt.xlim(-3.5, 5.5)
- plt.ylim(-10, 25)
- plt.grid()
- plt.xlabel('x')
- plt.legend(loc='lower right')
- plt.show()
- X1 = norm(5,2)
- x1 = np.linspace(-0, 10, 1000)
- y1= X1.pdf(x1)
- plt.plot(x1, y1, "k-")
- plt.show()
- X2 = norm(5,2)
- x2 = np.linspace(-0, 10, 1000)
- y2= X2.cdf(x2)
- plt.plot(x2, y2, "k-")
- plt.show()
- X3 = norm(5,2)
- x3 = np.linspace(-0, 10, 1000)
- y3= X3.sf(x3)
- plt.plot(x3, y3, "k-")
- plt.show()
- X4 = norm(5,2)
- x4 = np.linspace(-0, 10, 1000)
- y4= X4.ppf(x4)
- plt.plot(x4, y4, "k-")
- plt.show()
- X5 = norm(5,2)
- x5 = np.linspace(-0, 10, 1000)
- y5= X5.isf(x5)
- plt.plot(x5, y5, "k-")
- plt.show()
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