Created
April 14, 2021 20:58
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Filter a 3d array on one dimension using and 2d index to receive a 2d array
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| import numpy as np | |
| def filter_tensor_by_mx(tensor, mx): | |
| tshape = tensor.shape | |
| row_ix = np.arange(mx.shape[0]) | |
| col_ix = np.arange(mx.shape[1]) | |
| ix = np.array(np.meshgrid(row_ix, col_ix)).T.reshape(-1,2).T | |
| pane = rnd_ix_mx.ravel() | |
| res = tensor[pane, ix[0], ix[1]].reshape(mx.shape) | |
| return res | |
| rnd_ix_mx = np.random.uniform(0,2,size=(4,3)).astype(int) | |
| print(rnd_ix_mx) | |
| mxt = np.array([[[1,2,3],[4,5,6],[7,8,9],[10,11,12]],[[13,14,15],[16,17,18],[19,20,21],[22,23,24]]]) | |
| print(mxt) | |
| print(filter_tensor_by_mx(mxt, rnd_ix_mx)) |
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