scipy.stats.uniform() is a Uniform continuous random variable. It is inherited from the of generic methods as an instance of the
rv_continuous class. It completes the methods with details specific for this particular distribution.
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 : Uniform continuous random variable
Code #1 : Creating Uniform continuous random variable
Output :
RV :
scipy.stats._distn_infrastructure.rv_frozen object at 0x000002A9D9F1E708
Code #2 : Uniform continuous variates and probability distribution
Output :
Random Variates :
[0.30819979 0.95991962 0.70622125 0.60895239 0.72550267 0.73555393
0.3757751 0.88295358 0.50726709 0.57936421]
Probability Distribution :
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
Code #3 : Graphical Representation.
Output :
Distribution :
[0. 0.02040816 0.04081633 0.06122449 0.08163265 0.10204082
0.12244898 0.14285714 0.16326531 0.18367347 0.20408163 0.2244898
0.24489796 0.26530612 0.28571429 0.30612245 0.32653061 0.34693878
0.36734694 0.3877551 0.40816327 0.42857143 0.44897959 0.46938776
0.48979592 0.51020408 0.53061224 0.55102041 0.57142857 0.59183673
0.6122449 0.63265306 0.65306122 0.67346939 0.69387755 0.71428571
0.73469388 0.75510204 0.7755102 0.79591837 0.81632653 0.83673469
0.85714286 0.87755102 0.89795918 0.91836735 0.93877551 0.95918367
0.97959184 1. ]
👁 Image
Code #4 : Varying Positional Arguments
