Python | Numpy np.assert_string_equal() method Last Updated : 23 Jan, 2020 Comments Improve Suggest changes Like Article Like Report With the help of np.assert_string_equal() method, we can get the assertion error if two string are not equal by using np.assert_string_equal() method. Syntax : np.assert_string_equal(actual, desired) Return : Return assertion error if two strings are unequal. Example #1 : In this example we can see that by using np.assert_string_equal() method, we are able to get the assertion error if two strings are not equal by using this method. Python3 1=1 # import numpy and assert_string_equal import numpy as np import numpy.testing as npt # using np.assert_string_equal() method gfg = npt.assert_string_equal('gfg', 'gfg') print(gfg) Output : None Example #2 : Python3 1=1 # import numpy and assert_string_equal import numpy as np import numpy.testing as npt # using np.assert_string_equal() method gfg = npt.assert_string_equal('gfg', 'geeksforgeeks') print(gfg) Output : AssertionError: Differences in strings: - gfg+ geeksforgeeks Comment More infoAdvertise with us Next Article Python | Numpy np.assert_string_equal() method J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-Testing Practice Tags : python Similar Reads Python | Numpy np.assert_equal() method With the help of np.assert_equal() method, we can get the assertion error when two objects are not equal by using np.assert_equal() method. Syntax : np.assert_equal(actual, desired) Return : Return assertion error if two object are unequal. Example #1 : In this example we can see that by using np.as 1 min read Python | Numpy np.assert_array_equal() method With the help of np.assert_array_equal() method, we can get the assertion error if two array like objects are not equal by using np.assert_array_equal() method. Syntax : np.assert_array_equal(x, y) Return : Return the assertion error if two objects are not equal. Example #1 : In this example we can 1 min read Python | Numpy np.assert_almost_equal() method With the help of np.assert_almost_equal() method, we can get the assertion error if two items are not equal up to desired precision value by using np.assert_almost_equal() method. Syntax : np.assert_almost_equal(actual, desired, decimal) Return : Return the assertion error if two values are not equa 1 min read Python | Numpy np.assert_approx_equal() method With the help of np.assert_approx_equal() method, we can get the assertion error if two items are not equal up to significant digits by using np.assert_approx_equal() method. Syntax : np.assert_approx_equal(actual, desired, significant) Return : Return the assertion error if two values are not equal 1 min read Python | Numpy np.assert_array_almost_equal() method With the help of np.assert_array_almost_equal() method, we can get the assertion error if two array objects are not equal up to desired precision value by using np.assert_array_almost_equal() method. Syntax : np.assert_array_almost_equal(actual, desired, decimal) Return : Return the assertion error 1 min read Python | Numpy np.assert_array_less() method With the help of np.assert_array_less() method, we can get the assertion error if two array like objects are not ordered by less than by using np.assert_array_less() method. Syntax : np.assert_array_less(x, y) Return : Return assertion error if two array objects are unequal. Example #1 : In this exa 1 min read Python | Numpy np.char.endswith() method With the help of np.char.endswith() method, we can get the boolean array when values ends with a particular character passed in np.char.endswith() method. Syntax : np.char.endswith() Return : Return the boolean array when values ends with a value. Example #1 : In this example we can see that by usin 1 min read Python String isalnum() Method The isalnum() method is a string function in Python that checks if all characters in the given string are alphanumeric. If every character is either a letter or a number, isalnum() returns True. Otherwise, it returns False. For Example:Pythons = "Python123" res = s.isalnum() print(res)OutputTrue Exp 2 min read Python string isdecimal() Method In Python, the isdecimal() method is a quick and easy way to check if a string contains only decimal digits. It works by returning True when the string consists of digits from 0 to 9 and False otherwise. This method is especially useful when we want to ensure that user inputs or string data are stri 3 min read numpy string operations | equal() function numpy.core.defchararray.equal(arr1, arr2) is another function for doing string operations in numpy. It checks the elements of two same-shaped array one by one and returns True if they are equal. Otherwise, it returns False. Parameters: arr1 : array_like of str or unicode. arr2 : array_like of str or 2 min read Like