I am trying to add a 0 to every row of a jagged array. I want to go from
<JaggedArray [[1 2 3] [1 2]]>
to
<JaggedArray [[1 2 3 0] [1 2 0]]>
so that when I grab the -1th index, I get 0. Currently I'm padding every row to the length of the biggest row + 1, then filling nans with 0, which works, but I am wondering if there's a better way.
I saw that there's a class AppendableArray that has a .append() function, but I'm not sure how to convert between the two. I'm using awkward 0.12.22, and the data is read out of a ROOT file with uproot 3.11.0
Perhaps this is too short to be an answer, but
awkward0
and use ak.from_awkward0
and ak.to_awkward0
to go back and forth in the same process).ak.from_numpy
), perhaps by slicing a one-dimensional array with np.newaxis
.ak.concatenate
with axis=1
. The first dimension needs to be the same (len
of both arrays must be equal), but the second dimensions are unconstrained.