Change language

Inverse gamma distribution in Python

scipy.stats.invgamma ():

This is an inverted gamma continuous random variable. This is an instance of the rv_continuous class. It inherits from a collection of generic methods and combines them with the full spread specification.

Code # 1: Generate an inverted gamma continuous random variable

from scipy.stats import invgamma 

 

numargs = invgamma.numargs

[a] = [ 0.3 ] * numargs

rv = invgamma (a)

 

  print ( "RV:" , rv) 

Output:

RV:
scipy.stats._distn_infrastructure.rv_frozen object at 0x00000230B0B28748

Code # 2: continuous inverse gamma variables and probability distribution

import numpy as np

quantile = np.arange ( 0.01 , 1 , 0.1 )

  
# Random Variants

 

R = invgamma.rvs (a, scale = 2 , size = 10 )

print ( "Random Variates:" , R)

 
# PDF

R = invgamma .pdf (a, quantile, loc = 0 , scale = 1 )

print ( "Probability Distribution:" , R)

Output:

 Random Variates: [4.18816252e + 00 2.02807957e + 03 8.37914946e + 01 1.94368997e + 00 3.78345091e + 00 1.00496176e + 06 3.42396458e + 03 3.45520522e + 00 2.81037118e + 00 1.72359706e + 03:] Probability [0.0012104 0.0157619 0.03512042 0.05975504 0.09007126 0.12639944 0.16898506 0.21798098 0.27344182 0.33532072] 

Code # 3: Graphic representation

import numpy as np

import matplotlib.pyplot as plt

 

distribution = np.linspace ( 0 , np.minimum (rv.dist.b, 3 ))

print ( "Distribution:" , distribution)

 

plot = plt.plot (distribution , rv.pdf (distribution))


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

import matplotlib. pyplot as plt

import numpy as np

 

x = np.linspace ( 0 , 5 , 100 )

 
# Various positional arguments

y1 = invgamma .pdf (x, 1 , 3 )

y2 = invgamma .pdf (x , 1 , 4 )

plt.plot (x, y1, "*" , x, y2, "r--" )


Exit:

Shop

Gifts for programmers

Best laptop for Excel

$
Gifts for programmers

Best laptop for Solidworks

$399+
Gifts for programmers

Best laptop for Roblox

$399+
Gifts for programmers

Best laptop for development

$499+
Gifts for programmers

Best laptop for Cricut Maker

$299+
Gifts for programmers

Best laptop for hacking

$890
Gifts for programmers

Best laptop for Machine Learning

$699+
Gifts for programmers

Raspberry Pi robot kit

$150

Latest questions

PythonStackOverflow

Common xlabel/ylabel for matplotlib subplots

1947 answers

PythonStackOverflow

Check if one list is a subset of another in Python

1173 answers

PythonStackOverflow

How to specify multiple return types using type-hints

1002 answers

PythonStackOverflow

Printing words vertically in Python

909 answers

PythonStackOverflow

Python Extract words from a given string

798 answers

PythonStackOverflow

Why do I get "Pickle - EOFError: Ran out of input" reading an empty file?

606 answers

PythonStackOverflow

Python os.path.join () method

384 answers

PythonStackOverflow

Flake8: Ignore specific warning for entire file

360 answers

News


Wiki

Python | How to copy data from one Excel sheet to another

Common xlabel/ylabel for matplotlib subplots

Check if one list is a subset of another in Python

How to specify multiple return types using type-hints

Printing words vertically in Python

Python Extract words from a given string

Cyclic redundancy check in Python

Finding mean, median, mode in Python without libraries

Python add suffix / add prefix to strings in a list

Why do I get "Pickle - EOFError: Ran out of input" reading an empty file?

Python - Move item to the end of the list

Python - Print list vertically