📜  sciPy stats.nanmedian()函数| Python

📅  最后修改于: 2022-05-13 01:55:08.225000             🧑  作者: Mango

sciPy stats.nanmedian()函数| Python

scipy.stats.nanmedian(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)值来计算中位数。

代码#1:

# median 
import scipy
import numpy as np
  
arr1 = [1, 3, np.nan, 27, 2, 5] 
   
print("median using nanmedian :", scipy.nanmedian(arr1))
  
print("median without handling nan value :", scipy.median(arr1)) 

输出:

median using nanmedian : 3.0
median without handling nan value : nan


代码 #2:使用多维数据

# median 
from scipy import median
from scipy import nanmedian
import numpy as np
  
arr1 = [[1, 3, 27], 
        [3, np.nan, 6], 
        [np.nan, 6, 3], 
        [3, 6, np.nan]] 
   
print("median is :", median(arr1)) 
print("median handling nan :", nanmedian(arr1)) 
  
# using axis = 0
print("\nmedian is with default axis = 0 : \n", 
      median(arr1, axis = 0))
print("\nmedian handling nan with default axis = 0 : \n", 
      nanmedian(arr1, axis = 0))
  
# using axis = 1
print("\nmedian is with default axis = 1 : \n", 
      median(arr1, axis = 1))  
print("\nmedian handling nan with default axis = 1 : \n", 
      nanmedian(arr1, axis = 1))  

输出:

median is : nan
median handling nan : 3.0

median is with default axis = 0 : 
 [ nan  nan  nan]

median handling nan with default axis = 0 : 
 [ 3.  6.  6.]

median is with default axis = 1 : 
 [  3.  nan  nan  nan]

median handling nan with default axis = 1 : 
 [ 3.   4.5  4.5  4.5]