sciPy stats.cumfreq()函数| Python
原文:https://www.geesforgeks.org/scipy-stats-cumfreq-function-python/
scipy.stats.cumfreq(a，numbins，defaultreallimits，weights) 使用直方图函数工作，并计算累积频率直方图。它包括累计频率箱值、每个箱的宽度、实际下限、额外点数。
参数: arr:【array _ like】输入数组。 numbins:【int】直方图使用的箱数。[Default = 10] Default limits:(下限，上限)直方图的范围。 权重:【array _ like】每个数组元素的权重。 结果: –累计频率入库值 –各仓宽度 –实下限 –加分。
代码#1:
蟒蛇 3
# cumulative 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.cumfreq(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 : [ 4\. 5\. 5\. 6.]
Lower Limit : -3.33333333333
bin size : 8.66666666667
extra-points : 0
代码#2:
蟒蛇 3
# cummulative 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.cumfreq(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 : [ 1.6 7.6 7.6 7.7]
lowlim : -3.33333333333
binsize : 8.66666666667
extrapoints : 0
