numpy.fliplr() in Python Last Updated : 08 Mar, 2024 Comments Improve Suggest changes Like Article Like Report numpy.fliplr(array) : Flip array(entries in each column) in left-right direction, shape preserved Parameters : array : [array_like]Input array, we want to flip Return : Flipped array in left-right direction. Python # Python Program illustrating # numpy.fliplr() method import numpy as geek array = geek.arange(8).reshape((2,2,2)) print("Original array : \n", array) # fliplr : means flip left-right print("\nFlipped array left-right : \n", geek.fliplr(array)) Output : Original array : [[[0 1] [2 3]] [[4 5] [6 7]]] Flipped array left-right : [[[2 3] [0 1]] [[6 7] [4 5]]] Note : These codes won’t run on online IDE's. Please run them on your systems to explore the working. Comment More infoAdvertise with us Next Article numpy.fliplr() in Python M Mohit Gupta_OMG Improve Article Tags : Misc Python Python-numpy Python numpy-arrayManipulation Practice Tags : Miscpython Similar Reads numpy.flip() in Python The numpy.flip() function reverses the order of array elements along the specified axis, preserving the shape of the array. Syntax: numpy.flip(array, axis) Parameters : array : [array_like]Array to be input axis : [integer]axis along which array is reversed. Returns : reversed array with shape pr 1 min read numpy.flipud() in Python The numpy.flipud() function flips the array(entries in each column) in up-down direction, shape preserved. Syntax: numpy.flipud(array) Parameters : array : [array_like]Input array, we want to flip Return : Flipped array in up-down direction.Python # Python Program illustrating # numpy.flipud() me 1 min read numpy.invert() in Python numpy.invert() function is used to Compute the bit-wise Inversion of an array element-wise. It computes the bit-wise NOT of the underlying binary representation of the integers in the input arrays. For signed integer inputs, the two’s complement is returned. In a two’s-complement system negative num 2 min read numpy.binary_repr() in Python numpy.binary_repr(number, width=None) function is used to represent binary form of the input number as a string. For negative numbers, if width is not given, a minus sign is added to the front. If width is given, the two’s complement of the number is returned, with respect to that width. In a two’s- 3 min read numpy.rot90() in Python The numpy.rot90() method performs rotation of an array by 90 degrees in the plane specified by axis(0 or 1). Syntax: numpy.rot90(array, k = 1, axes = (0, 1)) Parameters : array : [array_like]i.e. array having two or more dimensions. k : [optional , int]No. of times we wish to rotate array by 90 degr 2 min read numpy.ravel() in Python The numpy.ravel() functions returns contiguous flattened array(1D array with all the input-array elements and with the same type as it). A copy is made only if needed. Syntax : numpy.ravel(array, order = 'C')Parameters : array : [array_like]Input array. order : [C-contiguous, F-contiguous, A-contigu 3 min read Wand flip() function in Python In this article we will learn what is flip() function. Basically this function returns a flipped image. Flip effect flips an image upside-down or creates an vertical reflection of image. No arguments are needed in this function. Syntax : wand.image.flip()Parameters : No Parameters in flip() function 1 min read numpy.left_shift() in Python numpy.left_shift() function is used to Shift the bits of an integer to the left. The bits are shifted to the left by appending arr2 0s(zeroes) at the right of arr1. Since the internal representation of numbers is in binary format, this operation is equivalent to multiplying arr1 by 2**arr2. For exam 2 min read numpy.swapaxes() function - Python numpy.swapaxes() function allow us to interchange two axes of a multi-dimensional NumPy array. It focuses on swapping only two specified axes while leaving the rest unchanged. It is used to rearrange the structure of an array without altering its actual data. The syntax of numpy.swapaxes() is:numpy. 2 min read numpy.rollaxis() function | Python numpy.rollaxis() function roll the specified axis backwards, until it lies in a given position. Syntax : numpy.rollaxis(arr, axis, start=0) Parameters : arr : [ndarray] Input array. axis : [int] The axis to roll backwards. The positions of the other axes do not change relative to one another. start 1 min read Like