sciPy stats.relfreq() function | Python

Last Updated : 13 Feb, 2019

scipy.stats.relfreq(a, numbins, defaultreallimits, weights) is a relative frequency histogram, using the histogram function.

Parameters :
arr : [array_like] input array.
numbins : Number of bins to use for the histogram. [Default = 10]
defaultreallimits : (lower, upper) range of the histogram.
weights : [array_like] weights for each array element.
Results :
– relative frequency binned values
– width of each bin
– lower real limit
– extra points.

Code #1:

# relative frequency
from scipy import stats
import numpy as np 
  
arr1 = [1, 3, 27, 2, 5, 13] 
print ("Array element : ", arr1, "\n")
  
a, b, c, d = stats.relfreq(arr1, numbins = 4)
  
print ("cumulative frequency : ", a)
print ("Lower Limit : ", b)
print ("bin size : ", c)
print ("extra-points : ", d)

Output :

Array element :  [1, 3, 27, 2, 5, 13] 

cumulative frequency :  [0.66666667 0.16666667 0.         0.16666667]
Lower Limit :  -3.333333333333333
bin size :  8.666666666666666
extra-points :  0

Code #2:

# relative frequency
from scipy import stats
import numpy as np 
  
arr1 = [1, 3, 27, 2, 5, 13] 
print ("Array element : ", arr1, "\n")
  
a, b, c, d = stats.relfreq(arr1, numbins = 4,
              weights = [.1, .2, .1, .3, 1, 6])
  
print ("cumfreqs : ", a)
print ("lowlim : ", b)
print ("binsize : ", c)
print ("extrapoints : ", d)

Output :

Array element :  [1, 3, 27, 2, 5, 13] 

cumfreqs :  [0.26666667 1.         0.         0.01666667]
lowlim :  -3.333333333333333
binsize :  8.666666666666666
extrapoints :  0

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes

Related Articles