Comments (4)
I think empty = array[False]
is a typo (and I don't know what it's supposed to be).
Other than that, everything else looks correct.
from awkward-0.x.
Oh, now I see the array
defined above it (I thought this was supposed to be a function call— sorry!).
Still looking at it, I don't see any errors. This is how content
and flatten()
are supposed to act.
Slicing a jagged array does minimal work: it replaces the starts
and stops
arrays, but doesn't touch the content
. This avoids having to recursively make changes to all the contents, which might be a wide Table. In a very common case, you'll be applying cuts on an array of events. You don't want it to have to modify every field of every particle— you want it to quickly mark some events as bad.
This is why there's an important difference between content
and flatten()
. If you want to logically flatten the data, so that only the desired values exist, use flatten()
.
from awkward-0.x.
Another thing to notice is that your first example used a flat boolean array as a mask, which masks out the top level of structure. The second example used a jagged boolean mask, which has a different meaning: it filters at the depth of its own jaggedness.
Removing inner values ("particles"):
array[array != 1]
Removing outer values ("events"):
array[array.min() != 1]
(Look at the mask arrays directly to see the difference.)
from awkward-0.x.
I think this should be made clear in the uproot
README. Currently it only shows jagged_array.content
to access the underlying ndarray
when this may not always be semantically the right function to use.
EDIT:
Also here on this README. It's not clear that this is not doing what you expect.
from awkward-0.x.
Related Issues (20)
- dynamically created methods are confusing for users HOT 1
- Achieve masking HOT 8
- AssertionError when Table is part of a list HOT 5
- Potential bug with subsequent masking HOT 2
- Reduction of empty elements HOT 2
- TLorentzVectorArray yields different values depending on masking order HOT 4
- IndexError when masking empty jaggedArray made from offsets HOT 1
- awkward method names HOT 9
- TypeError when using array.mean(weights) HOT 2
- Cyclic array? HOT 1
- broken link in readme HOT 1
- Installing awkward-numba in usermode breaks awkward HOT 3
- Syntax warning due to comparison of literals using is in Python 3.8 HOT 1
- Inconsistent Filesizes with .awkd Files HOT 6
- Bug in string comparison in StringArray HOT 1
- mean, std fail on ChunkedArrays HOT 1
- AttributeError when trying to read a particular format of awkward array HOT 5
- JaggedArray.fromiter() functions fails for python lists HOT 2
- Small detail; broadcasting seems to work a little different to what is implied in the documentation. HOT 6
- Accumulate numpy arrays inside the loop HOT 1
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from awkward-0.x.