The python library NumPy has a method called floor_divide()
which can be used to divide two input arrays.
numpy.floor_divide()
methodThe numpy.floor_divide()
method divides the first array’s elements by the elements of the second array. This is done element-wise (element by element).
Note: A two-dimensional (2D) array can be created using a list of lists in Python.
numpy.floor_divide(x1, x2, dtype=None, out=None)
x1
: This represents the input data.x2
: This represents the input data.dtype
: This is an optional parameter. It represents the return type of the array.out
: This is an optional parameter. It represents the alternative output array in which the result is to be placed.Note: If
x1
andx2
have distinct shapes, they must be able to be broadcasted to a common shape for output representation.
The numpy.floor_divide()
method returns a floor array of (x1/x2)
.
Note: In Python, the operator
//
is equivalent to the functionfloor_divide()
.
The following code shows how to use the numpy.floor_divide()
method for two-dimensional(2D) arrays.
# import numpy import numpy as np # create a two 2D arrays x1 = np.array([[2,6,5],[3,4,8]]) x2 = np.array([[1,7,2],[10,9,4]]) # divide the 2D arrays # and store the result in result result = np.floor_divide(x1, x2) print(result)
numpy
library.x1
and x2
.np.floor_divider()
which divides the array x1
by x2
. The result is stored in a new variable called result
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