Python | Numpy ndarray.__ifloordiv__()

• Last Updated : 27 Mar, 2019

With the help of Numpy ndarray.__ifloordiv__(), we can divide a particular value that is provided as a parameter in the ndarray.__ifloordiv__() method. Value will be divided to each and every element in a numpy array and remember it always gives the floor value after division.

Syntax: ndarray.__ifloordiv__(\$self, value, /)

Return: self//=value

Example #1 :
In this example we can see that each and every element in an array is divided with the value given as a parameter in method ndarray.__ifloordiv__() and gives the floor value of every element that is divided in an array. This method will work fine for positive, negative and floating point values of an array.

 # import the important module in pythonimport numpy as np    # make an array with numpygfg = np.array([1, 2.5, 3, 4.8, 5])    # applying ndarray.__ifloordiv__() methodprint(gfg.__ifloordiv__(2))
Output:
[ 0.  1.  1.  2.  2.]

Example #2 :

 # import the important module in pythonimport numpy as np    # make an array with numpygfg = np.array([[1, 2, 3, 4.45, 5],                [6, 5.5, 4, 3, 2.62]])    # applying ndarray.__ifloordiv__() methodprint(gfg.__ifloordiv__(3))
Output:
[[ 0.  0.  1.  1.  1.]
[ 2.  1.  1.  1.  0.]]
My Personal Notes arrow_drop_up