Comments (1)
This is discussed in boostorg/histogram somewhere, such as boostorg/histogram#336. It's really an issue there, rather than here. The algorithm for computing edges has different numerical precision issues than the one for computing the fill, which is why they can be off. The Regular axis is optimized for performance.
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Related Issues (20)
- [BUG] (Discussion) Input validation/preprocessing in AxesTuple HOT 7
- [BUG]: Scaling a weighted histogram does not appropriately scale the variance HOT 6
- [FEAT] Add operators (mult/div/sub) for (weighted) histograms/accumulators HOT 6
- [BUG] np.cumsum fails on views with non-default storage type
- [BUG] Failure to conver awkward Masked array to numpy HOT 3
- [BUG] Indexing along two axes with list and single index raises RuntimeError
- [DOCS] add documentation for Nox
- [DOCS] change all the code directives to code-block
- [BUG] Investigate providing a better error message if sample= is missing
- [FEAT] Scaling a slice of a histogram
- [BUG] Cannot get index of huge numbers in IntCategory HOT 1
- [BUG] Issues with copying in child classes of weighted Histogram
- [FEAT] in multidimensional histograms allow the binning to vary along an axis
- [FEAT]: Add -latomic link arg for armv7l machines HOT 3
- Pickling a histogram creates an extra copy of the array in memory HOT 1
- [BUG] Filling Integer Axis with doubles is buggy
- Version 1.4.0 and roadmap
- *Category axes do not support disabling overflow
- [BUG] Filling with unsigned ints in IntCategory axis raises TypeError HOT 1
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