The numpy.floor() function in NumPy is used to return the floor values of each element in an input array x such that for each of the elements of x, the floor values are less than or equal to it.
numpy.floor(x, /, out=None, *, where=True)
The numpy.floor() function takes the following parameter values:
x (required): This represents the input array.out (optional): This represents the location where the result is stored.where (optional): This is the condition over which the input is being broadcast. At a given location where this condition is True, the resulting array will be set to the ufunc result. Otherwise, the resulting array will retain its original value.**kwargs (optional): This represents other keyword arguments.The numpy.floor() function returns an array containing the floor value of each element in the input array.
import numpy as np# creating an arrayx = np.array([1.5, 10.3, 6.6, 0.3, 180.05])# obtaining the floor valuesmyarray = np.floor(x)print(x)print(myarray)
numpy module.x using the array() method.np.floor() function on the array. The result is assigned to a variable myarray.x.myarray.