np fliplr
flipud: Flip an array vertically (axis=0). fliplr: Flip an array horizontally (axis=1). Notes. flip(m, 0) is equivalent to flipud(m). flip(m, 1) is equivalent to fliplr(m). flip(m ... ,A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(A)==A[:,::-1,. ,A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(A)==A[:,::-1,. ,A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(A) == A[:,::-1,. ,A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(A) == A[:,::-1,. ,A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(A) == A[:,::-1,. ,A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(A) == A[:,::-1,. , 方法3：. 使用numpy.fliplr. https://docs.scipy.org/doc/numpy/reference/generated/numpy.fliplr.html ... np.fliplr(A) array([[ 0., 0., 1.], [ 0., 2., 0.], [ 3., 0., matlab flipud fliplr ... 注意：区别于fliplr函数，该函数是实现矩阵的左右翻转。 ... 例子：A=np.random.randn(2,3,5)#相当于从最后一个元素.
| 相關軟體 Python 資訊 | |
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 np fliplr 相關參考資料
numpy.flip — NumPy v1.16 Manual - Numpy and Scipy Documentation
flipud: Flip an array vertically (axis=0). fliplr: Flip an array horizontally (axis=1). Notes. flip(m, 0) is equivalent to flipud(m). flip(m, 1) is equivalent to fliplr(m). flip(m ... https://docs.scipy.org numpy.fliplr — NumPy v1.10 Manual - Numpy and Scipy Documentation
A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(... https://docs.scipy.org numpy.fliplr — NumPy v1.11 Manual - Numpy and Scipy Documentation
A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(... https://docs.scipy.org numpy.fliplr — NumPy v1.13 Manual - Numpy and Scipy Documentation
A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(... https://docs.scipy.org numpy.fliplr — NumPy v1.14 Manual - Numpy and Scipy Documentation
A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(... https://docs.scipy.org numpy.fliplr — NumPy v1.15 Manual - Numpy and Scipy Documentation
A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(... https://docs.scipy.org numpy.fliplr — NumPy v1.16 Manual - Numpy and Scipy Documentation
A = np.diag([1.,2.,3.]) >>> A array([[ 1., 0., 0.], [ 0., 2., 0.], [ 0., 0., 3.]]) >>> np.fliplr(A) array([[ 0., 0., 1.] ... A = np.random.randn(2,3,5) >>> np.all(np.fliplr(... https://docs.scipy.org python矩阵水平镜像- BlueOceans - 博客园
方法3：. 使用numpy.fliplr. https://docs.scipy.org/doc/numpy/reference/generated/numpy.fliplr.html ... np.fliplr(A) array([[ 0., 0., 1.], [ 0., 2., 0.], [ 3., 0. https://www.cnblogs.com 翻转矩阵flipud和fliplr函数- fireflychh的博客- CSDN博客
matlab flipud fliplr ... 注意：区别于fliplr函数，该函数是实现矩阵的左右翻转。 ... 例子：A=np.random.randn(2,3,5)#相当于从最后一个元素. https://blog.csdn.net |