numpy.median() in Python
numpy.median(arr, axis = None)
: Compute the median of the given data (array elements) along the specified axis.
How to calculate median?
- Given data points.
- Arrange them in ascending order
- Median = middle term if total no. of terms are odd.
- Median = Average of the terms in the middle (if total no. of terms are even)
Parameters :
arr : [array_like]input array.
axis : [int or tuples of int]axis along which we want to calculate the median. Otherwise, it will consider arr to be flattened(works on all the axis). axis = 0 means along the column and axis = 1 means working along the row.
out : [ndarray, optional] Different array in which we want to place the result. The array must have the same dimensions as expected output.
dtype : [data-type, optional]Type we desire while computing median.Results : Median of the array (a scalar value if axis is none) or array with median values along specified axis.
Code #1:
# Python Program illustrating # numpy.median() method import numpy as np # 1D array arr = [ 20 , 2 , 7 , 1 , 34 ] print ( "arr : " , arr) print ( "median of arr : " , np.median(arr)) |
Output :
arr : [20, 2, 7, 1, 34] median of arr : 7.0
Code #2:
# Python Program illustrating # numpy.median() method import numpy as np # 2D array arr = [[ 14 , 17 , 12 , 33 , 44 ], [ 15 , 6 , 27 , 8 , 19 ], [ 23 , 2 , 54 , 1 , 4 , ]] # median of the flattened array print ( "\nmedian of arr, axis = None : " , np.median(arr)) # median along the axis = 0 print ( "\nmedian of arr, axis = 0 : " , np.median(arr, axis = 0 )) # median along the axis = 1 print ( "\nmedian of arr, axis = 1 : " , np.median(arr, axis = 1 )) out_arr = np.arange( 3 ) print ( "\nout_arr : " , out_arr) print ( "median of arr, axis = 1 : " , np.median(arr, axis = 1 , out = out_arr)) |
Output :
median of arr, axis = None : 15.0 median of arr, axis = 0 : [15. 6. 27. 8. 19.] median of arr, axis = 1 : [17. 15. 4.] out_arr : [0 1 2] median of arr, axis = 1 : [17 15 4]
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