scipy.stats.nanmedian(array, axis=0) function calculates the median by ignoring the Nan (not a number) values of the array elements along the specified axis of the array.
Parameters :
array : Input array or object having the elements, including Nan values, to calculate the median.
axis : Axis along which the median is to be computed. By default axis = 0Returns : median of the array elements (ignoring the Nan values) based on the set parameters.
Code #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)) |
Output:
median using nanmedian : 3.0 median without handling nan value : nan
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Code #2: With multi-dimensional data
# 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))  |
Output:
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]
