Parameters:
-" q: lower and upper tail probability
-" x: quantiles
-" loc: [optional] location parameter. Default = 0
-" scale: [optional] scale parameter. Default = 1
-" size: [tuple of ints, optional] shape or random variates.
-" moments: [optional] composed of letters [’mvsk’]; ’m’ = mean, ’v’ = variance, ’s’ = Fisher’s skew and ’k’ = Fisher’s kurtosis. (default = ’mv’).Results: Half-logistic continuous random variable
Code # 1: Create a semi-logistic continuous random variable
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Output:
RV: "scipy.stats._distn_infrastructure.rv_frozen object at 0x000001E39A2EA7B8"
Code # 2: Semilogistic Random Variations and Probability Distribution
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Output:
Random Variates: [1.51677656 4.2051329 3.00947016 5.00828865 8.23514322 0.46379571 1.75794767 2.84948119 0.31392647 1.36186056] Probability Distribution: [0.4999875 0.49849054 0.49452777 0.48817731 0.47956248 0.46884669 0.45622704 0.44192689 0.42618788 0.40926186]
Code # 3: Graphic representation.
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Output:
Distribution: [0. 0.06122449 0.12244898 0.18367347 0.24489796 0.30612245 0.36734694 0.42857143 0.48979592 0.55102041 0.6122449 0.67346939 0.73469388 0.79591837 0.85714286 0.91836735 0.97959184 1.04081633 1.10204082 1.16326531 1.2244898 1.28571429 1.34693878 1.40816327 1.46938776 1.53061224 1.59183673 1.65306122 1.71428571 1.7755102 1.83673469 1.89795918 1.95918367 2.02040816 2.08163265 2.14285714 2.20408163 2.26530612 2.32653061 2.3877551 2.44897959 2.51020408 2.57142857 2.63265306 2.69387755 2.75510204 2.81632653 2.87755102 2.93877551 3. ]
Code # 4: Various Positional Arguments
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Exit:
