I can use the following code to generate three dimensional array.
import numpy as np x1 = np.random.rand(8,9,10)
In some scenarios, the studied data set (or array) have various length along the axis 0, In other words. A subset may be of shape (8, 9, 10), and another subset maybe of shape (7,9,10). All these subsets are of the same size along the second and the third axis. If I still want to represent the whole data set using the same data structure, how to achieve this goal?
Answers:
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Method 1
One solution would be to use awkward-array:
https://github.com/scikit-hep/awkward-1.0
>>> import numpy as np
>>> import awkward as ak
>>> numpy_arrays = [np.random.rand(8,9,10), np.random.rand(7,9,10)]
>>> irregular_array = ak.Array(numpy_arrays)
>>> irregular_array
<Array [[[ ... ]]] type='var * 9 * 10 * int64'>
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