NumPy add() function
In this tutorial, we will cover add() function of the Numpy library.
The add() function basically returns element-wise string concatenation for two arrays.
Note: If you want to concatenate two arrays then both arrays needs to be of the same shape.
Syntax of add():
The syntax required to use this function is as follows: m1
numpy.char.add(x1, x2)
The above syntax indicates that add() function takes two parameters.
Parameters:
Let us now take a look at the parameters of this function:
-
x1
This parameter indicates the first array to be concatenated (and it is concatenated at the beginning)
-
x2
This parameter indicates the second array to be concatenated (and it is concatenated at the end)
Returned Values:
This method will return an output array of either string_ or unicode_ which depends on input types of the same shape as x1 and x2.
Example 1:
The code snippet is as follows where we will use the add() function:
import numpy as np
x1 = ['Hello']
x2 = ['StudyTonight!']
print("The Input arrays are : ")
print(x1)
print(x2)
result = np.char.add(x1, x2)
print("\nThe Resultant concatenated array is :")
print(result)
The Input arrays are :
['Hello']
['StudyTonight!']
The Resultant concatenated array is :
['HelloStudyTonight!']
Example 2:
Now we will apply this function on two arrays that contain multiple elements and will see the output:
import numpy as np
x1 = ['Welcome', 'to', 'StudyTonight']
x2 = ['Best Place', 'Forlearning', 'Coding']
print("The Input arrays are : ")
print(x1)
print(x2)
result = np.char.add(x1, x2)
print("\nThe Resultant concatenated array is :")
print(result)
The Input arrays are :
['Welcome', 'to', 'StudyTonight']
['Best Place', 'Forlearning', 'Coding']
The Resultant concatenated array is :
['WelcomeBest Place' 'toForlearning' 'StudyTonightCoding']
Summary
In this tutorial, we covered the add() function of the Numpy library which can be used to concatenate strings in two given arrays, which is a good usecase, if you have two or more arrays that you want to merge.
