Python | Numpy numpy.ndarray.__ne__() Read Courses Practice Improve Improve Improve Like Article Like Save Article Save Report issue Report With the help of numpy.ndarray.__ne__() method of Numpy, We can find that which element in an array is not equal to the value which is provided in the parameter. It will return you numpy array with boolean type having only values True and False. Syntax: ndarray.__ne__($self, value, /) Return: self!=value Example #1 : In this example we can see that after applying numpy.__ne__(), we get the simple boolean array that can tell us which element in an array is not equal to that of provided parameter. # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, 2, 3, 4, 5, 6]) # applying numpy.__ne__() method print(gfg.__ne__(4)) Output: [ True True True False True True] Example #2 : # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, 3, 4, 5, 6], [6, 5, 4, 3, 2, 1]]) # applying numpy.__ne__() method print(gfg.__ne__(4)) Output: [[ True True True False True True] [ True True False True True True]] Don't miss your chance to ride the wave of the data revolution! Every industry is scaling new heights by tapping into the power of data. Sharpen your skills, become a part of the hottest trend in the 21st century.Dive into the future of technology - explore the Complete Machine Learning and Data Science Program by GeeksforGeeks and stay ahead of the curve. Commit to GfG's Three-90 Challenge! Purchase a course, complete 90% in 90 days, and save 90% cost click here to explore. Last Updated : 05 Mar, 2019 Like Article Save Article Previous Python | Numpy MaskedArray.__iadd__ Next Python | Sum two unequal length lists in cyclic manner Share your thoughts in the comments Add Your Comment Please Login to comment...
