scipy.stats.mode(array, axis=0) function calculates the mode of the array elements along the specified axis of the array (list in python).
Its formula -
👁 Image
where,
l : Lower Boundary of modal class
h : Size of modal class
fm : Frequency corresponding to modal class
f1 : Frequency preceding to modal class
f2 : Frequency proceeding to modal class
Parameters :
array : Input array or object having the elements to calculate the mode.
axis : Axis along which the mode is to be computed. By default axis = 0
Returns : Modal values of the array elements based on the set parameters.
Code #1:
Output :Arithmetic mode is :
ModeResult(mode=array([[1, 3, 8, 4, 7, 9]]), count=array([[1, 1, 1, 1, 1, 1]]))
Code #2: With multi-dimensional data
Output :Arithmetic mode is :
ModeResult(mode=array([[3, 6, 3]]), count=array([[2, 2, 1]]))
Arithmetic mode is :
ModeResult(mode=array([3]), count=array([4]))
Arithmetic mode is :
ModeResult(mode=array([[3, 6, 3]]), count=array([[2, 2, 1]]))
Arithmetic mode is :
ModeResult(mode=array([[1],
[3],
[3],
[3]]), count=array([[1],
[1],
[1],
[1]]))
