Xplt

**New & improved features**
- TwissPlot
- Add option to plot apertures onto twiss plot
- Add support for beam envelope, beam size and other data from `twiss.get_beam_covariance`
- FloorPlot
- Add support for vertical bends and ZY projection
- Use [new information from additional columns in survey table](https://github.com/xsuite/xtrack/releases/tag/v0.73.2), passing the line object is no longer needed for most cases
- Improve element colouring in `FloorPlot`, handle more element types and also skew components, multipoles are now coloured by _lowest_ non-zero order (only if passing line object explicitly)
- Keep default boxes when customizing `FloorPlot` (use `default_boxes=False` to restore the previous behaviour)
- Show zero length elements as narrow line only
- Improve handling of survey data
- Consider also skew components for element order and add unit test
- Add utility for discontinuous axis scales, see [user guide](https://xsuite.github.io/xplt/latest/examples/utilities.html#discontinuous-axes)

**API changes**
- Make dataset ID optional (if omitted, a UUID will be generated)

**Bug fixes**
- Fix of FloorPlot wedges being offset 49
- Fix in FloorPlot bend recognition to support Views 49
- Avoid timeseries data to be interpreted as particle counts when plotting particle rate 67

**Dependencies**
- From this release on, [pint](https://pypi.org/project/Pint/) is an optional (but still highly recommended) dependency. Without pint, all unit-conversion features are disabled! For new installations, it is recommended to use `pip install xplt[full]`.

**Full Changelog**: https://github.com/xsuite/xplt/compare/v0.10.5...v0.11.6

This is a maintenance release without functional changes, only bugfixes and requirement updates 10:

python>=3.9
matplotlib>=3.6
numpy>=1.17.0
scipy>=1.2.0
pint>=0.24.1


**Fixes:**
- Bend wedges in FloorPlot being offset 49

**Full Changelog**: https://github.com/xsuite/xplt/compare/v0.9.0...v0.10.5

**New & improved features**
- Added interface for adding and working with multiple datasets in plots
- Added 1D `ParticleHistogramPlot`
- Add options for averaging FFTs (in lin and log space). This also significantly improves plotting speeds for $f \gg \text{MHz}$
- Improved and unified autoscaling, log-scaling
- More options for annotation location with axlines and axspans
- Add getter for axis by property name
- Add "-n" and "-.n" linestyles to mark lines with n dots (e.g. "-1" or "-.2")
- Improved documentation and examples, add unit tests

**API changes**
- Parameter `smoothing` in FFT plot renamed to `welch` (using smoothing will issue a warning)

**Bug fixes**
- Fix xlabel of TimeFFTPlot if relative=True
- Fixes for SpillQualityPlot and SpillQualityTimescalePlot with timeseries data
- Resolve element replicas in FloorPlot in 9 by giadarol

**Full Changelog**: https://github.com/xsuite/xplt/compare/v0.8.0...v0.9.0

🚀 With this release, xplt becomes part of the xsuite package.
The documentation is now located at https://xsuite.github.io/xplt

**New & improved features**
- Smoothing for FFT
- Support of time-series data for SpillQualityPlot, SpillQualityTimescalePlot, TimeFFTPlot and TimeBinPlot
- Automatic resolution for `KnlPlot` with precise element edges
- Annotations for axlines and axspans
- Improved default styles
- Improved documentation and error messages

**API changes (breaking)**
- `TimeVariationPlot` renamed to `SpillQualityPlot`
and dropped parameters `counting_bins` and `evaluate_bins` (use `counting_dt` and `evaluate_dt` instead)
- `TimeVariationScalePlot` renamed to `SpillQualityTimescalePlot`
- Removed `line_length` parameter in `KnlPlot` as it is no longer required
- For various time plots: use `timeseries=xplt.Timeseries(data, dt=1/fs)` instead of `timeseries=data, timeseries_fs=fs` (and likewise dicts with values of this type)
- Removed `xplt.timestructure.binned_timesieres`. Use `xplt.Timeseries.from_timestamps` instead

**Bug fixes**
- Fixes for compatibility with latest matplotlib versions by eltos in https://github.com/xsuite/xplt/pull/8
- Fix default value for fmax when using timeseries data in TimeFFTPlot
- Fix in ParticlePlots when twiss is a dict
- Fixes when using timeseries data with various time-based plots

**Full Changelog**: https://github.com/xsuite/xplt/compare/v0.7.2...v0.8.1

What's Changed
* Add LICENSE by eltos in https://github.com/xsuite/xplt/pull/3
* Replace np.float with builtin type float by milo-gsi in https://github.com/xsuite/xplt/pull/6
* Minor fixes

**Full Changelog**: https://github.com/xsuite/xplt/compare/v0.7.0...v0.7.2

- Add support for thick elements in Floor Plot by giadarol
- More options for FFT Plot
- Matplotlib stylesheet

**Full Changelog**: https://github.com/eltos/xplt/compare/v0.6.0...v0.7.0