numpy.equal(arr1, arr2, out = None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘not_equal’) : This logical function checks for arr1 == arr2 elemen-twise.
arr1 : [array_like]Input array
arr2 : [array_like]Input array
out : [ndarray, optional]Output array with same dimensions as Input array, placed with result.
**kwargs : allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.
where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.
Returns arr1 == arr2 element-wise
Code 1 :
Check to be Equal : [ True False] Check to be Equal : [[ True False] [ True False]]
Code 2 : Comparing data-type using .equal() function
Comparing complex with int using .equal() : [False True]
Code 3 :
Comparing float with int using .not_equal() : [ True True]
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