A stable release: Version 1.0

The time has come to release ModelSkill 1.0 after lot's of small tweaks during the beta phase.

🙏 to @daniel-caichac-DHI for your patience.

What's Changed

• New dev version 0.9 by @jsmariegaard in #168
• Observation: rename .df to .data by @jsmariegaard in #166
• Remove multi-item-modelresults by @jsmariegaard in #165
• Comparer reorganization by @jsmariegaard in #169
• minimal style changes by @daniel-caichac-DHI in #171
• add warning scatter plot by @daniel-caichac-DHI in #173
• ModelResult isolated refactor by @PaulDanielML in #170
• Comparer internal data structure as xarray Dataset by @jsmariegaard in #172
• ModelResult - docs by @ecomodeller in #176
• Singleobscomparer by @ecomodeller in #175
• New Comparer method where() by @jsmariegaard in #177
• Comparer further refactoring by @ecomodeller in #179
• Rich compare method by @jsmariegaard in #180
• Style limits qq by @daniel-caichac-DHI in #182
• add degree to short names by @daniel-caichac-DHI in #188
• fix small density-bug and added test by @daniel-caichac-DHI in #189
• Replace ItemInfo with fmskill.Quantity by @ecomodeller in #191
• Save/load comparer(s) by @ecomodeller in #178
• Validate metrics by @ecomodeller in #195
• Multiple authors + pyproject.toml by @ecomodeller in #196
• added option for quantile regression in scatter by @clemenscremer in #197
• Matched data in a single dataframe by @ecomodeller in #192
• new logo by @jsmariegaard in #184
• Rename to ModelSkill by @ecomodeller in #199
• Remove explicit geometry check by @ecomodeller in #190
• Refactor scatter() by @ecomodeller in #201
• Testable skill table by @ecomodeller in #202
• Deprecate filtering in skill, score, scatter by @ecomodeller in #200
• Updated vision in docs by @ecomodeller in #210
• Kernel Density Estimation by @ecomodeller in #205
• Update aesthetics of skill table and scatter plot by @stkistner in #212
• Fixes in collaboration with ruff by @ecomodeller in #206
• Don't issue warnings with no arguments by @ecomodeller in #213
• Check extract method instead of type by @ecomodeller in #207
• move plot methods from Connector to root namespace by @jsmariegaard in #187
• Added skill table with subset metrics by @daniel-caichac-DHI in #216
• custom metrics as series by @daniel-caichac-DHI in #215
• Added_z_comparison by @daniel-caichac-DHI in #204
• Improved model to dataframe by @jsmariegaard in #222
• ComparerCollection deprecation warnings by @jsmariegaard in #225
• Fix add comparer track by @jsmariegaard in #224
• Update notebooks to new api by @jsmariegaard in #218
• Extract ComparerPlotter from Comparer & Comparison module in subfolder by @ecomodeller in #214
• Source dist without notebooks and tests by @ecomodeller in #228
• Boxplot by @jsmariegaard in #229
• devcontainer initial setup by @PaulDanielML in #223
• custom metrics in skill table by @daniel-caichac-DHI in #230
• Q-Q plot for easy comparison across multiple models by @jsmariegaard in #231
• Scatter vs histo density normalization by @stkistner in #233
• Filtering in scatter is deprecated, not removed by @ecomodeller in #239
• fit_to_quantile legend by @daniel-caichac-DHI in #238
• Consistent skill plot methods by @ecomodeller in #232
• Documentation update by @ecomodeller in #237
• Keep user defined model name by @ecomodeller in #244
• new_metrics_validation_services by @daniel-caichac-DHI in #241
• moved Peak Ratio by @daniel-caichac-DHI in #246
• Wind/wave rose plot by @ecomodeller in #240
• Support aux data in from_matched() by @jsmariegaard in #248
• Add missing api docs by @jsmariegaard in #252
• Plots directional axis by @jsmariegaard in #247
• Fix type hints by @ecomodeller in #255
• Change from base class to protocol by @ecomodeller in #259
• Remove reporting functionality by @ecomodeller in #253
• Comparer.rename() by @ecomodeller in #254
• Fix type hints due to latest matplotlib by @ecomodeller in #264
• Persist raw model data by @ecomodeller in #261
• move from_matched and compare to new module by @jsmariegaard in #266
• Move plot methods to plotting package by @rywm-dhi in #263
• Pandas deprecations by @ecomodeller in #265
• Use xarray dataset as internal data container by @jsmariegaard in #262
• Fix loading named styles by @ecomodeller in #270
• Make plotting api more consistent by @rywm-dhi in #267
• Remove entrypoint by @ecomodeller in #276
• Change sum in groupby to avoid warning by @jsmariegaard in #273
• More work on internal data structures by @jsmariegaard in #269
• Slim AggregatedSkill by @ecomodeller in #260
• Rename and improve notebooks by @jsmariegaard in #279
• Move config to separate module by @jsmariegaard in #280
• Update_bins by @daniel-caichac-DHI in #282
• Set quantity ASAP instead of mutating by @ecomodeller in #283
• Add a event-based example by @rpalDHI in #274
• Default number of bins in scatter plot --- too many defaults? by @jsmariegaard in #285
• Better matching and time interpolation by @jsmariegaard in #281
• Check kwargs valid by @jsmariegaard in #292
• Update Vision by @jsmariegaard in #295
• Observation attrs container by @jsmariegaard in #291
• Fix wind rose by @ecomodeller in #277
• Unit handling by @ecomodeller in #300
• Expose kwargs PR by @daniel-caichac-DHI in #299
• Allow aux items on observations and modelresults for advanced filtering by @jsmariegaard in #302
• Deprecate Connector by @ecomodeller in #307
• Time is not essential for skill assessment by @ecomodeller in #293
• Use Mkdocs as documentation engine instead of Sphinx by @ecomodeller in #303
• First water resource test case by @jsmariegaard in #249
• Fixed and improved hydrology notebook by @jsmariegaard in #316
• show slowest notebook timings by @jsmariegaard in #317
• Allow aux items in ModelResults by @jsmariegaard in #304
• Link to metrics page by @ecomodeller in #313
• Factory function(s) by @ecomodeller in #308
• Rename SpatialSkill to GriddedSkill by @ecomodeller in #315
• SkillTable is a collection of SkillArrays by @jsmariegaard in #309
• ms.match by @ecomodeller in #321
• Aux items must be unique by @ecomodeller in #318
• Remove markdown library by @ecomodeller in #314
• Use SkillTable to_dataframe() instead of df attribute by @jsmariegaard in #322
• Remove protocols module by @ecomodeller in #323
• Create ComparerCollection in init by @ecomodeller in #320
• Change categorical index to float by @ecomodeller in #325
• Circular metrics (again) by @ecomodeller in #284
• Further improvements to SkillTable and SkillArray by @jsmariegaard in #324
• Kde empty title by @ecomodeller in #306
• Updated_Peak_Ratio by @daniel-caichac-DHI in #333
• Observation factory function by @jsmariegaard in #328
• Improve item specification in from_matched by @jsmariegaard in #327
• Ensure Comparer / ComparerCollection consistency by @ecomodeller in #330
• No warnings by @ecomodeller in #334
• Model type hints by @ecomodeller in #332
• Hide mean_skill_points for now by @ecomodeller in #339
• remove_bias returns new Comparer by @ecomodeller in #338
• Skillgrid.sel by @ecomodeller in #340
• Scatter plot return multiple plots for multiple models by @jsmariegaard in #337
• Rename SkillGrid.field_names to metrics by @jsmariegaard in #344
• rename observation module to obs by @jsmariegaard in #343
• Index into mikeio.Dataset with int | str by @ecomodeller in #348
• Expand docs by @jsmariegaard in #319
• Preserve comparer order on save/load by @ecomodeller in #346
• Include x, y in SkillTable - alternative way by @jsmariegaard in #329
• Use unit.short_name for MIKEIO by @ecomodeller in #349
• Use observation weights in score by @ecomodeller in #342
• Remove start end properties by @jsmariegaard in #353
• Avoid mismatch by @ecomodeller in #350
• PR when no joint peaks by @daniel-caichac-DHI in #355
• Remove unused weight attr from tests by @ecomodeller in #357
• Slim public API; remove properties by @jsmariegaard in #354
• No metrics property on the comparer/collection by @ecomodeller in #356
• Improved mkdocs.yml settings by @jsmariegaard in #358
• Skill groupby dt by @jsmariegaard in #352
• Twek index / getting started pages by @ecomodeller in #360
• Fix skill table in multiple model scatter by @ecomodeller in #362
• Addition of Wastewater notebook example and dataset by @ChrisGaszynski-DHI in #336
• Fix random obs colors by @jsmariegaard in #367
• Rename variable to quantity by @jsmariegaard in #365
• skill_table also for plotting.scatter by @ecomodeller in #369
• from_config() return ComparerCollection by @jsmariegaard in #366
• Scatter consistent args by @ecomodeller in #370
• Rename enhanced by @jsmariegaard in #368
• Skill table in plotly scatter by @ecomodeller in #371
• Remove/deprecate more properties by @jsmariegaard in #373
• SkillTable in root namespace by @jsmariegaard in #372
• Skill groupby attrs by @jsmariegaard in #351
• Observation attrs by @ecomodeller in #375
• Refactor long_dataframe by @ecomodeller in #382
• Don't sort on groupby (e.g. in skill() method) by @jsmariegaard in #376
• mikeio.Dataset is no longer a mapping... by @jsmariegaard in #385
• Long-dataframe with time column by @ecomodeller in #384
• Comparer attrs property by @jsmariegaard in #387
• DummyModelResult by @ecomodeller in #380
• Spatial interp method by @jsmariegaard in #383
• DummyModelResult notebook example by @ecomodeller in #389
• Refactor _parse_group_by by @ecomodeller in #392
• Delegate less attributes by @ecomodeller in #391
• Scatter - skill table default format by @ecomodeller in #398
• Type hints Comparer by @ecomodeller in #394
• Skill + Skillgrid type hints by @ecomodeller in #393
• Support for 3d via xarray (NetCDF etc) by @ecomodeller in #401
• Support for Dfsu3d by @ecomodeller in #396
• Move _remove_model_gaps to PointModelResult by @ecomodeller in #399
• Prepare for NumPy 2 by @ecomodeller in #407
• Integration test peak ratio by @ecomodeller in #405
• Forward get_attr to SkillTable constructor by @jsmariegaard in #400
• Docs landing page by @ecomodeller in #412
• Accept custom metric funs without registering them by @ecomodeller in #406
• Fix SkillTable style by @ecomodeller in #409
• No need to use deprecated .ravel() by @ecomodeller in #410
• Use coordinates from NetCDF file (Point data) by @ecomodeller in #402
• Refactor DfsuModelResult by @ecomodeller in #415
• Test compatability with older versions by @ecomodeller in #414
• Inline _interp_time to avoid confusion by @ecomodeller in #417
• Obs DRY by @ecomodeller in #418
• Don't show hist/density/qq if n_points is too low by @ecomodeller in #397
• Docs improvements including user guide by @jsmariegaard in #363
• from_matched_data for track data by @ecomodeller in #420
• Useful repr(s) by @ecomodeller in #378
• Prevent double plots of taylor diagrams by @rywm-dhi in #422
• Use deepcopy by @ecomodeller in #424

New Contributors

• @PaulDanielML made their first contribution in #170
• @clemenscremer made their first contribution in #197
• @stkistner made their first contribution in #212
• @rywm-dhi made their first contribution in #263
• @rpalDHI made their first contribution in #274
• @ChrisGaszynski-DHI made their first contribution in #336

Full Changelog: v0.8.0...v1.0.0