How to invert the elements of a boolean array in Python? Last Updated : 17 Dec, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report Given a boolean array the task here is to invert its elements. A boolean array is an array which contains only boolean values like True or False, 1 or 0. Input : A=[true , true , false] Output: A= [false , false , true] Input: A=[0,1,0,1] Output: A=[1,0,1,0] Method 1: You can use simple if else method to invert the array. In the implementation shown below method you just need to check the value of each index in array if the value is true change it to false else change it to true. This is one of the simplest method you can use to invert elements of a boolean array. Program: Python3 a1 = ((0, 1, 0, 1)) a = list(a1) for x in range(len(a)): if(a[x]): a[x] = 0 else: a[x] = 1 print(a) Output: [1, 0, 1, 0] Method 2: You can also use an inbuilt function of numpy library to invert the whole array. Syntax: np.invert(boolean[] a) Program: Python import numpy as np a = np.array((True, True, False, True, False)) b = np.invert(a) print(b) Output: [False False True False True] Method 3: We can also use the Tilde operator (~) also known as bitwise negation operator in computing to invert the given array. It takes the number n as binary number and “flips” all 0 bits to 1 and 1 to 0 to obtain the complement binary number. So in the boolean array for True or 1 it will result in -2 and for False or 0 it will result as -1. And again by using if..else we can convert the array into or required answer. Program: Python3 a1 = ((0, 1, 0, 1)) a = list(a1) for x in range(len(a)): # using Tilde operator(~) a[x] = ~a[x] print(a) Output: [-1, -2, -1, -2] Comment More infoAdvertise with us Next Article Different ways to Invert the Binary bits in Python N nikhiltanna33 Follow Improve Article Tags : Python Python-datatype Practice Tags : python Similar Reads Different ways to Invert the Binary bits in Python We know how binary value for numbers look like. For example, the binary value for 10 (Number Ten) is 1010 (binary value).Sometimes it is required to inverse the bits i.e., 0's to 1's ( zeros to ones) and 1's to 0's (ones to zeros). Here are there few ways by which we can inverse the bits in Python.U 3 min read How to check whether the elements of a given NumPy array is non-zero? In NumPy with the help of any() function, we can check whether any of the elements of a given array in NumPy is non-zero. We will pass an array in the any() function if it returns true then any of the element of the array is non zero if it returns false then all the elements of the array are zero. S 1 min read Test whether the elements of a given NumPy array is zero or not in Python In numpy, we can check that whether none of the elements of given array is zero or not with the help of numpy.all() function. In this function pass an array as parameter. If any of one element of the passed array is zero then it returns False otherwise it returns True boolean value. Syntax: numpy.al 2 min read Flipping the boolean values in a Python list Flipping boolean values in a list involves changing True to False and False to True. This operation is straightforward in Python and can be accomplished using various methods. In this article, we'll explore different techniques to flip boolean values in a list in Python.1. Using List ComprehensionLi 3 min read Counting the number of non-NaN elements in a NumPy Array In this article, we are going to see how to count the number of non-NaN elements in a NumPy array in Python. NAN: It is used when you don't care what the value is at that position. Maybe sometimes is used in place of missing data, or corrupted data. Method 1: Using Condition In this example, we wil 3 min read Boolean Array in NumPy - Python The goal here is to work with Boolean arrays in NumPy, which contain only True or False values. Boolean arrays are commonly used for conditional operations, masking and filtering elements based on specific criteria. For example, given a NumPy array [1, 0, 1, 0, 1], we can create a Boolean array wher 3 min read Like