I've got a Numpy 2d array that represents a grey-scale image and I need to rotate it 270 degrees. numpy.flip() function. To flip an image horizontally with numpy there is fliplr, illustration: import numpy as np import matplotlib.pyplot as plt import matplotlib.image as mpimg img = mpimg.imread('lena.png') img2 = np.fliplr(img) plt.imshow(img2) plt.savefig("lena_mirror_matplotlib.png", dpi=200) plt.show() Syntax: numpy.flip(m, axis=None) Version: 1.15.0. Numpy image - rotate matrix 270 degrees. Flip the entries in each row in the left/right direction. numpy.fliplr¶ numpy.fliplr (m) [source] ¶ Flip array in the left/right direction. The flip() function is used to reverse the order of elements in an array along the given axis. The shape of the array is preserved, but the elements are reordered. numpy.flip¶ numpy.flip (m, axis) [source] ¶ Reverse the order of elements in an array along the given axis. I have a numpy array of shape (7,4,100,100) which means that I have 7 images of 100x100 with depth 4. Get a vertically flipped image using numpy. Parameters m array_like. Input array, must be at least 2-D. Returns f ndarray. In the following example, we pass PIL.Image.FLIP_LEFT_RIGHT as argument to the transpose method to flip the image vertically or flip left to right and right to left.. Python Program. A view of m with the columns reversed. Vertical Axis. image_shape = (299, 299, 3) image = np.random.uniform(size=image_shape) + 128.0 I need to rotate this image by small amounts (-25 to +25 degrees). The shape of the array is preserved, but the elements are reordered. Parameter: I'm currently using scipy.ndimage.rotate but it results in the image turning mostly white. Viewed 16k times 23. OpenCV cv2.flip() Numpy np.fliplr() Import the packages. import cv2 import numpy as np I had a three images in a numpy array, each image with a resolution as shown here: images.shape (3, 200, 400, 3) Using Jupyter's %%timeit module: Python’s Numpy module provides a function to flip the contents of numpy array along different axis i.e. I generate an image of random noise as shown below. 5 min read. Those who are familiar with NumPy can do various image processing without using libraries such as OpenCV. Columns are preserved, but appear in a different order than before. Example 1: Flip Image w.r.t. In this blog article, I will explain how we can mirror or flip an image in Python. By reading the image as a NumPy array ndarray, various image processing can be performed using NumPy functions. I want to rotate these images at 90 degrees. 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