Comments (2)
jpivarski
commented on June 11, 2024
I don't see that error message; I see it complaining about
TypeError: jagged index must be boolean (mask) or integer (fancy indexing)
which is to say that the empty list is assumed to have floating point type and you can't use that as an index.
NumPy casts empty lists as np.float64, but maybe Awkward should cast them as np.int64 to avoid exactly this problem. It's clear what you mean.
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mverzett
commented on June 11, 2024
Thanks!
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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
- 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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