Python | Numpy np.char.endswith() method Last Updated : 03 Nov, 2019 Comments Improve Suggest changes Like Article Like Report 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 using np.char.endswith() method, we are able to get the boolean array when matches with the string values in np.char.endswith() method. Python3 1=1 # import numpy import numpy as np # using np.char.endswith() method a = np.array(['geeks', 'for', 'geeks']) gfg = np.char.endswith(a, 'ks') print(gfg) Output : [ True False True] Example #2 : Python3 1=1 # import numpy import numpy as np # using np.char.endswith() method a = np.array([['geeks', 'for', 'geeks'], ['jitender', 'author', 'gfg']]) gfg = np.char.endswith(a, 'r') print(gfg) Output : [[False True False] [ True True False]] Comment More infoAdvertise with us Next Article Python | Numpy np.char.endswith() method J Jitender_1998 Follow Improve Article Tags : Technical Scripter Python Python-numpy Python numpy-arrayManipulation Practice Tags : python Similar Reads Python | Numpy np.lagtrim() method With the help of np.lagtrim() method, we can trim the small trailing values of the polynomial by using np.lagtrim() method. Syntax : np.lagtrim(c, tol) Return : Return the trimmed values from the polynomial. Example #1 : In this example we can see that by using np.lagtrim() method, we are able to ge 1 min read Python String endswith() Method The endswith() method is a tool in Python for checking if a string ends with a particular substring. It can handle simple checks, multiple possible endings and specific ranges within the string. This method helps us make our code cleaner and more efficient, whether we're checking for file extensions 2 min read numpy.char.add() function in Python The add() method of the char class in the NumPy module is used for element-wise string concatenation for two arrays of str or unicode. numpy.char.add()Syntax : numpy.char.add(x1, x2)Parameters : x1 : first array to be concatenated (concatenated at the beginning)x2 : second array to be concatenated ( 1 min read Python | numpy.lookfor() method With the help of numpy.lookfor() method, we can get the information about the module in the numpy by using numpy.lookfor() method. Syntax : numpy.lookfor(module_name) Return : Return the information about the module. Example #1 : In this example we can see that by using numpy.lookfor() method, we ar 1 min read numpy.count() in Python numpy.core.defchararray.count(arr, substring, start=0, end=None): Counts for the non-overlapping occurrence of sub-string in the specified range. Parameters: arr : array-like or string to be searched. substring : substring to search for. start, end : [int, optional] Range to search in. Returns : An 1 min read Like