scipy.stats.poisson() is a poisson 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 : poisson discrete random variable
Code #1 : Creating poisson discrete random variable
Output :
RV :
scipy.stats._distn_infrastructure.rv_frozen object at 0x0000016A4D865848
Code #2 : poisson discrete variates and probability distribution
Output :
Random Variates :
[0 0 1 0 1 0 0 1 0 0]
Probability Distribution :
[ 5. nan nan nan nan nan nan nan nan nan]
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
