Modelskill

* Fix bug with missing default itemInfo for pandas ModelResults
* Add itemInfo argument to pandas and xarray ModelResultItem
* DMI api - Better handling of empty datasets

What's Changed
* add max_error to documentation by jsmariegaard in https://github.com/DHI/fmskill/pull/107
* DataFrameModelResult missing default itemInfo by jsmariegaard in https://github.com/DHI/fmskill/pull/109
* add Python 3.10 to CI by jsmariegaard in https://github.com/DHI/fmskill/pull/94
* DMI api - Better handling of empty datasets by ecomodeller in https://github.com/DHI/fmskill/pull/108


**Full Changelog**: https://github.com/DHI/fmskill/compare/v0.5.0...v0.5.1

What's Changed
* Force the use of keyword arguments by ecomodeller in https://github.com/DHI/fmskill/pull/100
* Allow x_item and y_item arguments when creating TrackObservation by jsmariegaard in https://github.com/DHI/fmskill/pull/99
* fix mean skill weights by jsmariegaard in https://github.com/DHI/fmskill/pull/102
* Title and other argument in plots by jsmariegaard in https://github.com/DHI/fmskill/pull/98
* Test notebooks by jsmariegaard in https://github.com/DHI/fmskill/pull/105
* Better reporting by jsmariegaard in https://github.com/DHI/fmskill/pull/66
* Improved docs with logo by jsmariegaard in https://github.com/DHI/fmskill/pull/93
* catch warnings in pytest by jsmariegaard in https://github.com/DHI/fmskill/pull/78
* fix failing in_domain validation for extraction from pandas modelresults by jsmariegaard in https://github.com/DHI/fmskill/pull/106
* Mean skill weights as dict by ecomodeller in https://github.com/DHI/fmskill/pull/103
* pointwise mean skill by jsmariegaard in https://github.com/DHI/fmskill/pull/104
* Fix bug when combining comparers by jsmariegaard in https://github.com/DHI/fmskill/pull/101


**Full Changelog**: https://github.com/DHI/fmskill/compare/v0.4.3...v0.5.0

* Make file paths relative to configuration file (instead of cwd)
* Check point inside xarray domain

- Skill: Horizontal bar plot
- Default model name for in simple compare
- Hit ratio assert matching data shapes
- Improved documentation

* Skill: Horizontal bar plot
* Default model name for in simple compare
* Hit ratio assert matching data shapes
* Improved documentation

* Add normalized Taylor plot
* Add aggregate_observations argument to taylor plot
* Add new metrics: max_error and willmott's Index of Agreement
* Improve TrackObservation item argument: now takes both int and string
* Improve TrackObservation input check, now require input to be specified if more than 3 items
* Bugfix: normalize NSE metric with obs
* Bugfix: remove class attributes that caused problems with multiple objects
* Add obs_item to fmskill.compare()
* Improved getitem to handle negative indexes and raise correct errors
* Bugfix: fmskill.compare() select item
* Improved metric documentation