Python | Numpy numpy.ndarray.__imul__()

Python | Numpy numpy.ndarray.iadd()

Last Updated : 11 Mar, 2019

With the help of numpy.ndarray.__iadd__() method, we can add a particular value that is provided as a parameter in the ndarray.__iadd__() method. Value will be added to every element in a numpy array.

Syntax: ndarray.__iadd__($self, value, /) Return: self+=value

Example #1 : In this example we can see that each and every element in an array is added with the value given as a parameter in method ndarray.__iadd__(). Remember this method will work with every type of numeric value.

Python3 1==

# import the important module in python
import numpy as np
  
# make an array with numpy
gfg = np.array([1.2, 2.6, 3, 4.5, 5])
  
# applying ndarray.__iadd__() method
print(gfg.__iadd__(5))

Output:

[  6.2   7.6   8.    9.5  10. ]

Example #2 :

Python3 1==

# import the important module in python
import numpy as np
  
# make an array with numpy
gfg = np.array([[1, 2.2, 3, 4, 5.01],
                [6.1, 5, 4.8, 3, 2]])
  
# applying ndarray.__iadd__() method
print(gfg.__iadd__(3))

Output:

[[ 4.    5.2   6.    7.    8.01]
 [ 9.1   8.    7.8   6.    5.  ]]

Python | Numpy numpy.ndarray.__imul__()

J

Improve

Article Tags :

Practice Tags :

python

Similar Reads

Python | Numpy numpy.ndarray.__add__()

With the help of Numpy numpy.ndarray.__add__(), we can add a particular value that is provided as a parameter in the ndarray.__add__() method. Value will be added to each and every element in a numpy array. Syntax: ndarray.__add__($self, value, /) Return: self+value Example #1 : In this example we c

Python | Numpy numpy.ndarray.__and__()

With the help of Numpy numpy.ndarray.__and__() method, we can get the elements that is anded by the value that is provided as a parameter in numpy.ndarray.__and__() method. Syntax: ndarray.__and__($self, value, /) Return: self&value Example #1 : In this example we can see that every element is a

Python | Numpy numpy.ndarray.__mod__()

With the help of Numpy numpy.ndarray.__mod__(), every element in an array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is applied as the parameter in ndarray.__mod__(). Syntax: ndarray.__mod__($self, value, /) Return: self%value Exam

Python | Numpy numpy.ndarray.__divmod__()

With the help of Numpy numpy.ndarray.__divmod__() method, we will get two arrays one is having elements that is divided by value that is provided in numpy.ndarray.__divmod__() method and second is having elements that perform mod operation with same value as provided in numpy.ndarray.__divmod__() me

Python | Numpy numpy.ndarray.__imul__()

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

Python | Numpy numpy.ndarray.__isub__()

With the help of numpy.ndarray.__isub__() method, we can subtract a particular value that is provided as a parameter in the ndarray.__isub__() method. Value will be subtracted to every element in a numpy array. Syntax: ndarray.__isub__($self, value, /) Return: self-=value Example #1 : In this exampl

Python | Numpy numpy.ndarray.__invert__()

With the help of Numpy numpy.ndarray.__invert__(), one can invert the elements of an array. We don't have to provide any type of parameter but remember that this method only works for integer values. Syntax: ndarray.__invert__($self, /) Return: ~self Example #1 : In this example we can see that ever

Python | Numpy ndarray.__iand__()

With the help of Numpy ndarray.__iand__() method, we can get the elements that is anded by the value that is provided as a parameter in numpy.ndarray.__iand__() method. Syntax: ndarray.__iand__($self, value, /) Return: self&=value Example #1 : In this example we can see that every element is and

Python | Numpy numpy.ndarray.__sub__()

With the help of Numpy numpy.ndarray.__sub__(), We can subtract a particular value that is provided as a parameter in the ndarray.__sub__() method. Value will be subtracted to each and every element in a numpy array. Syntax: ndarray.__sub__($self, value, /) Return: self-value Example #1 : In this ex

Python | Numpy numpy.ndarray.__xor__()

With the help of Numpy numpy.ndarray.__xor__() method, we can get the elements that is XOR by the value that is provided as a parameter in numpy.ndarray.__xor__() method. Syntax: ndarray.__xor__($self, value, /) Return: self^value Example #1 : In this example we can see that every element is xor by