scipy.stats.randint() is a uniform discrete random variable. It is inherited from the of generic methods as an instance of the
rv_discrete class. It completes the methods with details specific for this particular distribution.
Parameters :
x : quantiles
loc : [optional]location parameter. Default = 0
scale : [optional]scale parameter. Default = 1
moments : [optional] composed of letters [‘mvsk’]; ‘m’ = mean, ‘v’ = variance, ‘s’ = Fisher’s skew and ‘k’ = Fisher’s kurtosis. (default = ‘mv’).
Results : uniform discrete random variable
Code #1 : Creating uniform discrete random variable
Output :
RV :
scipy.stats._distn_infrastructure.rv_frozen object at 0x0000016A4D865848
Code #2 : uniform discrete variates and probability distribution
Output :
Random Variates :
[ 3 0 0 15 0 1 4 2 0 6]
Probability Distribution :
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Code #3 : Graphical Representation.
Output :
Distribution :
[0. 0.04081633 0.08163265 0.12244898 0.16326531 0.20408163
0.24489796 0.28571429 0.32653061 0.36734694 0.40816327 0.44897959
0.48979592 0.53061224 0.57142857 0.6122449 0.65306122 0.69387755
0.73469388 0.7755102 0.81632653 0.85714286 0.89795918 0.93877551
0.97959184 1.02040816 1.06122449 1.10204082 1.14285714 1.18367347
1.2244898 1.26530612 1.30612245 1.34693878 1.3877551 1.42857143
1.46938776 1.51020408 1.55102041 1.59183673 1.63265306 1.67346939
1.71428571 1.75510204 1.79591837 1.83673469 1.87755102 1.91836735
1.95918367 2. ]
👁 Image
Code #4 : Varying Positional Arguments
