How to transpose axes back after .transpose?
I'm wonder how can I undo my transpose operation. Let me be more specific in example:
a = np.random.rand(25,32,11)
b = a.transpose(2,0,1)
c = b.transpose(??) ### Here I should set (1,0,2)
# c == a
Which exactly values should I set in last transpose to make c == a ? In numpy there is not such method as "transpose_undo" I guess.
As an solution we can rely on actual shape of array, but we can have 25x25x25 array in the future...
Copyright License：
Author:「Андрей Севостьянов」,Reproduced under the CC 4.0 BY-SA copyright license with link to original source & disclaimer.
Link to：https://stackoverflow.com/questions/67938346/how-to-transpose-axes-back-after-transpose
About “How to transpose axes back after .transpose?” questions
I'm wonder how can I undo my transpose operation. Let me be more specific in example:
a = np.random.rand(25,32,11)
b = a.transpose(2,0,1)
c = b.transpose(??) ### Here I should set (1,0,2)
# c == a
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suppose I have an array of shape (2,2,3): x=np.array([[[1,2,3],[4,5,6]],[[7,8,9],[10,11,12]]]), and I have transposed this array to y along axes (2,0,1): y=np.transpose(x,(2,0,1)).
My questions is,...
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Everything is in the title.
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tf.transpose do...
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Traceback Error
Traceback (most recent call last):
File "C:\Users\trial2\trial.py", line 55, in <module>
image_stack(image)
File "C:\Users\trial2\trial.py", line 41, in
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Yelo!
This is my understanding of np.transpose(arr, perm_pos):
Say we want to move axes of a 3D np.ndarray to specific positions in the transposed ndarray, we essentially specify the perm_pos to the
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batches =datagen.flow_from_directory(...)
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display(img_batch[0].shape)
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