The any() function in NumPy is used to check if all the elements of an array along a given axis evaluate to True.
numpy.any(a, axis=None, out=None, keepdims=<no value>, *, where=<no value>)
The any() function takes a mandatory parameter, a, which represents the input array or collection of objects that can be converted to an array.
The any() function takes the following optional parameter values:
axis: This represents the axis or axes along which a logical AND reduction operation is performed. The default value is (axis = None) and when negative, it counts from the last to the first axis.out: This represents an alternate output array in which to place to the result. It must have the same shape as the expected output array.keepdims: If this is set to True, axes which are reduced are left in the result as dimensions with size one.where: This represents choice of elements to check for any True values.The any() function returns a boolean value or array.
import numpy as np# creating an arraymy_array = np.arange(6) + 1# calling the any() functionnew_array = np.any(my_array)# printing the arrayprint(new_array)
numpy module.my_array.any() function on the array my_array. The result is assigned to a new variable new_array.new_array.