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
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]
