scipy.stats.cdist(array, axis=0) function calculates the distance between each pair of the two collections of inputs.
Parameters : array: Input array or object having the elements to calculate the distance between each pair of the two collections of inputs.
axis: Axis along which to be computed. By default axis = 0
Returns : distance between each pair of the two collections of inputs.
Code #1 : 2D Array
Python3
from scipy.spatial.distance import cdista = [[1, 3, 27], [3, 6, 8]]arr1 = cdist(a, a) print("Value of cdist is :", arr1) |
Output:
Value of cdist is : [[ 0. 19.33907961] [19.33907961 0. ]]
Time complexity: O(n^2), where n is the number of elements in the input list ‘a’.
Auxiliary space: O(n^2).
Code #2 : 3D Array
Python3
from scipy.spatial.distance import cdist arr1 = [[1, 3, 27], [3, 4, 6], [7, 6, 3], [3, 6, 8]] print("Value of cdist is :", cdist(arr1, arr1)) |
Output:
Value of cdist is : [[ 0. 21.11871208 24.91987159 19.33907961] [21.11871208 0. 5.38516481 2.82842712] [24.91987159 5.38516481 0. 6.40312424] [19.33907961 2.82842712 6.40312424 0. ]]
Time complexity: O(n^2), where n is the number of points in arr1.
Auxiliary space: O(n^2),
