Return a boolean array which is True where the string element in array ends with suffix in Python

In this article, we are going to see how we will return a boolean array which is True where the string element in the array ends with a suffix in Python.

numpy.char.endswith()

numpy.char.endswith() return True if the elements end with the given substring otherwise it will return False.

Syntax : np.char.endswith(input_numpy_array,'substring')

Parameters:

•  input_numpy_array refers to the numpy array with strings
•  substring is compared with all elements present in an array

Return: Return the boolean array which includes "True" if a substring is present as a suffix and "False" if a substring is not present as a suffix.

Example 1: 

In this example, we are creating a NumPy array with 5 strings and checking the elements' ends with 'ks'.

# import numpy
import numpy as np

# Create 1D array of strings.
a = np.array(['hello', 'welcome to',
              'geeks', 'for', 'geeks'])

# check the strings in an above array
# ends with  substring - 'ks'
# and stored in a variable "gfg".
Data = np.char.endswith(a, 'ks')

# Print boolean array
print(Data)

Output:

[False False  True False  True]

Example 2:

In this example, we are creating a NumPy array with 5 strings and checking the element's ends with 'o'.

# import numpy
import numpy as np

# Create 1D array of strings.
a = np.array(['hello', 'welcome to', 
              'geeks', 'for', 'geeks'])

# check the strings in an above array
# ends with  substring - 'o'
# and stored in a variable "gfg".
Data = np.char.endswith(a, 'o')

# Print boolean array
print(Data)

Output:

[ True  True False False False]

Time complexity: O(N), where N is the number of strings in the array "a". 

Space complexity : O(N), as we are storing the result in a boolean array "Data" with the same number of elements as the number of strings in the array "a".

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• Python

Practice Tags :

• python