numpy string operations | less_equal() function Last Updated : 14 May, 2019 Comments Improve Suggest changes Like Article Like Report numpy.core.defchararray.less_equal(arr1, arr2) is another function for doing string operations in numpy. It checks the elements of two same shaped string array one by one and returns True if the elements of arr1 are less than or equal to the elements of arr2 i.e. arr1 <= arr2 .Otherwise, it returns False. Parameters: arr1 : array_like of str or unicode.1st input array. arr2 : array_like of str or unicode.2nd input array. Returns : [ndarray] Output array of bools, or a single bool if arr1 and arr2 are scalars. Code #1 : Python3 # Python program explaining # numpy.char.less_equal() method # importing numpy import numpy as geek # input arrays in_arr1 = geek.array('numpy') print ("1st Input array : ", in_arr1) in_arr2 = geek.array('nump') print ("2nd Input array : ", in_arr2) # checking if in_arr1 <= in_arr2 out_arr = geek.char.less_equal(in_arr1, in_arr2) print ("Output array: ", out_arr) Output: 1st Input array : numpy 2nd Input array : nump Output array: False Code #2 : Python3 # Python program explaining # numpy.char.less_equal() method # importing numpy import numpy as geek # input arrays in_arr1 = geek.array(['Geeks', 'for', 'Geek', 'Numpy']) print ("1st Input array : ", in_arr1) in_arr2 = geek.array(['Geek', 'for', 'Geek', 'numpy']) print ("2nd Input array : ", in_arr2) # checking if in_arr1 <= in_arr2 out_arr = geek.char.less_equal(in_arr1, in_arr2) print ("Output array: ", out_arr) Output: 1st Input array : ['Geeks' 'for' 'Geek' 'Numpy'] 2nd Input array : ['Geek' 'for' 'Geek' 'numpy'] Output array: [False True True True] Code #3 : Python3 # Python program explaining # numpy.char.less_equal() method # importing numpy import numpy as geek # input arrays in_arr1 = geek.array(['10', '11', '122', '15']) print ("1st Input array : ", in_arr1) in_arr2 = geek.array(['10', '13', '121', '141']) print ("2nd Input array : ", in_arr2) # checking if in_arr1 <= in_arr2 out_arr = geek.char.less_equal(in_arr1, in_arr2) print ("Output array: ", out_arr) Output: 1st Input array : ['10' '11' '122' '15'] 2nd Input array : ['10' '13' '121' '141'] Output array: [ True True False False] Comment More infoAdvertise with us Next Article numpy string operations | less_equal() function jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-String Operation Practice Tags : python Similar Reads 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 numpy string operations | less() function numpy.core.defchararray.less(arr1, arr2) is another function for doing string operations in NumPy. It checks the elements of two same shaped string arrays one by one and returns True if the elements of arr1 are less than the elements of arr2 i.e. arr1 < arr2 . Otherwise, it returns False. Paramet 2 min read numpy string operations | not_equal() function numpy.core.defchararray.not_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 not equal. Otherwise, it returns False. Parameters: arr1 : array_like of str or unicode. arr2 : array_like o 2 min read numpy string operations | greater_equal() function numpy.core.defchararray.greater_equal(arr1, arr2) is another function for doing string operations in numpy. It checks the elements of two same shaped string array one by one and returns True if the elements of arr1 are greater than or equal to the elements of arr2 i.e. arr1 >= arr2 .Otherwise, it 2 min read Numpy - String Functions & Operations NumPy String functions belong to the numpy.char module and are designed to perform element-wise operations on arrays. These functions can help to handle and manipulate string data efficiently.Table of ContentString OperationsString Information String Comparison In this article, we’ll explore the var 5 min read numpy string operations | lower() function numpy.core.defchararray.lower(arr) function is used to return an array with the elements converted to lowercase. Parameters: arr : [ array_like ] Input array which may be str or unicode. Returns : [ndarray] Output lowercased array of str or unicode, depending on input type. Code #1: Python3 # Python 1 min read numpy string operations | ljust() function numpy.core.defchararray.ljust(arr, width, fillchar=' ') is another function for doing string operations in numpy. It returns an array with the elements of arr left-justified in a string of length width. It fills remaining space of each array element using fillchr parameter. If fillchr is not passed 2 min read numpy string operations | count() function numpy.core.defchararray.count(arr, sub, start=0, end=None) is another function for doing string operations in numpy.It returns an array with the number of non-overlapping occurrences of substring sub in the range start to end. Parameters: arr : array_like of str or unicode. sub : [str or unicode] Th 2 min read numpy string operations | islower() function numpy.core.defchararray.islower(arr) function returns True for each element if all cased characters in the string are lowercase and there is at least one cased character, It returns false otherwise. Parameters: arr : array_like of str or unicode Returns : [ndarray] Output array of bools. Code #1: Py 1 min read numpy string operations | greater() function numpy.core.defchararray.greater(arr1, arr2) is another function for doing string operations in numpy. It checks the elements of two same shaped string array one by one and returns True if the elements of arr1 greater than the elements of arr2 i.e. arr1 > arr2 .Otherwise, it returns False. Paramet 2 min read Like