scipy.stats.nanstd(array, axis=0)
函数通过忽略沿数组指定轴的数组元素的Nan(不是数字)值来计算标准差。
它的公式-
参数:
array : 具有元素(包括Nan值)的输入数组或对象,以计算标准偏差。
axis :沿其计算标准偏差的轴。默认情况下轴= 0
返回值:基于设置参数的数组元素的标准偏差(忽略Nan值)。
代码1:
# standard deviation
import scipy
import numpy as np
arr1 = [1, 3, np.nan, 27]
print("standard deviation using nanstd :", scipy.nanstd(arr1))
print("standard deviation without handling nan value :", scipy.std(arr1))
输出:
standard deviation using nanstd : 11.813363431112899 standard deviation without handling nan value : nan
代码2:使用多维数据
# standard deviation
from scipy import std
from scipy import nanstd
import numpy as np
arr1 = [[1, 3, 27],
[3, np.nan, 6],
[np.nan, 6, 3],
[3, 6, np.nan]]
print("standard deviation is :", std(arr1))
print("standard deviation handling nan :", nanstd(arr1))
# using axis = 0
print("\nstandard deviation is with default axis = 0 : \n",
std(arr1, axis = 0))
print("\nstandard deviation handling nan with default axis = 0 : \n",
nanstd(arr1, axis = 0))
# using axis = 1
print("\nstandard deviation is with default axis = 1 : \n",
std(arr1, axis = 1))
print("\nstandard deviation handling nan with default axis = 1 : \n",
nanstd(arr1, axis = 1))
输出:
standard deviation is : nan standard deviation handling nan : 7.455216087651669 standard deviation is with default axis =0 : [nan nan nan] standard deviation handling nan with default axis =0 : [ 0.94280904 1.41421356 10.67707825] standard deviation is with default axis =1 : [11.81336343 nan nan nan] standard deviation handling nan with default axis =1 : [11.81336343 1.5 1.5 1.5 ]
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