Comments (2)
I see. Not to derail your analysis too much, but you might want to consider installing awkward1 and doing
>>> import awkward1 as ak
>>> eff1 = ak.from_awkward0(eff)
>>> eff1.mean()
You can zero-copy convert back and forth between Awkward0 and Awkward1, and Awkward1 won't suffer from the sensitivity to NumPy that Awkward0 has (because these functions are directly implemented, not through NumPy).
See also ak.mean documentation; all of the functions have been documented.
from awkward-0.x.
Okay great I will do that thanks :)
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
- 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.