With the help of numpy.ndarray.__imul__() method, we can multiply a particular value that is provided as a parameter in the ndarray.__imul__() method. Value will be multiplied to every element in a numpy array.
Syntax: ndarray.__imul__($self, value, /)
Return: self*=value
Example #1 :
In this example we can see that each and every element in an array is multiplied with the value given as a parameter in method ndarray.__imul__(). Remember this method will work with every type of numeric value.
Python3
# import the important module in pythonimport numpy as np # make an array with numpygfg = np.array([1.2, 2.6, 3, 4.5, 5]) # applying ndarray.__imul__() methodprint(gfg.__imul__(5)) |
Output:
[ 6. 13. 15. 22.5 25. ]
Example #2 :
Python3
# import the important module in pythonimport numpy as np # make an array with numpygfg = np.array([[1, 2.2, 3, 4, 5.01], [6.1, 5, 4.8, 3, 2]]) # applying ndarray.__imul__() methodprint(gfg.__imul__(3)) |
Output:
[[ 3. 6.6 9. 12. 15.03] [ 18.3 15. 14.4 9. 6. ]]
