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 | Numpy np.hermetrim() method With the help of np.hermetrim() method, we can trim the trailing values in a series of hermiteE coefficients by using np.hermtrim() method. Syntax : np.hermetrim(series, tol) Return : Return the coefficients of series after trimming. Example #1 : In this example we can see that by using np.hermetrim 1 min read Python | Numpy np.hermtrim() method With the help of np.hermtrim() method, we can trim the trailing values in a series of hermite coefficients by using np.hermtrim() method. Syntax : np.hermtrim(series, tol) Return : Return the coefficients of series after trimming. Example #1 : In this example we can see that by using np.hermtrim() m 1 min read Python | Numpy expandtabs() method With the help of numpy.char.expandtabs() method, we can expand the tab using numpy method in the single statement. Syntax : numpy.char.expandtabs() Return : Return the string array having expanded tabs. Example #1 : In this example we can see that by using numpy.char.expandtabs() method, we are able 1 min read Python | Numpy np.legzero() method np.legzero() method can be used instead of np.zeros for creating a array whose elements are 0. Syntax : np.legzero() Return : Return array([0]) Example #1 : Python3 1=1 # Python program explaining # numpy.legzero() method # import numpy and legzero import numpy as np from numpy.polynomial.legendre i 1 min read Python | Numpy np.assert_string_equal() method 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 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.defchararray.encode() in Python numpy.core.defchararray.encode(arr, encoding): This numpy function encodes the string(object) based on the specified codec. Parameters: arr : array-like or string. encoding : [str] Name of encoding being followed. error : Specifying how to handle error. Returns : Encoded string Code: Python3 # Pyth 1 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 Like