Comments (1)
Thinking out loud: a common case where this comes up is transposing dataframes that contain PintArrays (homogeneous columns). When these PintArrays are made into rows, Pint and NumPy need to make an array of Quantities, causing problems. Perhaps there's a need for a special-case .pint.T function that could be more efficient and less noisy?
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Related Issues (20)
- Check dimensions in given context HOT 1
- Warnings when using `ruff`
- `PlainQuantity.ndim` stringifys `magnitude`, which is expensive for arrays
- How to get type hinting to work? HOT 1
- Loading Quantity from PyQt6 QSettings not working
- `{:L~}` can generate `\mathrm{μ}` which becomes blank when latex compiled
- Suggestion: Add permille ratio HOT 2
- How to convert kNm to custom unit Nmm? HOT 7
- Nm definition
- Python 3.13 (dev) bug: cannot inherit frozen dataclass from a non-frozen one HOT 4
- Quantity.default_format not initialised HOT 1
- release before `numpy=2.0`? HOT 7
- Cannot get dimensionality of ratios HOT 1
- Reverse math operators (__rsub_, __radd__ etc.) interfere with non reverse operators of custom classes HOT 1
- [REGR} formatter does not handle negative powers in numerator correctly HOT 1
- What is the best method to get the most human-readable names for units?
- KeyError when using Quantity.check("dimensionless")
- Temperature conversion issue HOT 1
- Get the dimensionality of quantities whose units are ratios of the same unit
- parse_pattern doesn´t parse compound units
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