sciPy stats.relfreq()函数| Python
scipy.stats.relfreq(a, numbins, defaultreallimits, weights)是一个相对频率直方图，使用 histogram函数。
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.
代码#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)
输出 ：
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
代码#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)
输出 ：
Array element : [1, 3, 27, 2, 5, 13]
cumfreqs : [0.26666667 1. 0. 0.01666667]
lowlim : -3.333333333333333
binsize : 8.666666666666666
extrapoints : 0