v0.6.0 improved scatter plot and more

• Improved scatter plots
  • Density as an alternative to 2d histogram
  • Optionally show a sample of points if many points
  • Improved control of binning
  • Chose quantiles to be plotted
  • Improved visualization of QQ points
  • Show grid
• Better colors in time series plots with multiple models

What's Changed

• Fix small plot bug in spatial.py by @daniel-caichac-DHI in #113
• Rearrange color palette by @daniel-caichac-DHI in #114
• Show scatter points sample by @daniel-caichac-DHI in #117
• Changes in QQ plot style by @daniel-caichac-DHI in #116
• Scatter density by @daniel-caichac-DHI in #120
• Don't use deprecated pd.DataFrame.append by @ecomodeller in #121
• added grid by @daniel-caichac-DHI in #122
• Adding models for the same observation after construction to Connector fails by @ecomodeller in #127

New Contributors

• @daniel-caichac-DHI made their first contribution in #113

Full Changelog: v0.5.1...v0.6.0

v0.5.1 Better ModelResult itemInfo for pandas and xarray

• 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 #107
• DataFrameModelResult missing default itemInfo by @jsmariegaard in #109
• add Python 3.10 to CI by @jsmariegaard in #94
• DMI api - Better handling of empty datasets by @ecomodeller in #108

Full Changelog: v0.5.0...v0.5.1

v0.5.0 Better mean_skill, avoid extrapolation, more plot arguments

What's Changed

• Force the use of keyword arguments by @ecomodeller in #100
• Allow x_item and y_item arguments when creating TrackObservation by @jsmariegaard in #99
• fix mean skill weights by @jsmariegaard in #102
• Title and other argument in plots by @jsmariegaard in #98
• Test notebooks by @jsmariegaard in #105
• Better reporting by @jsmariegaard in #66
• Improved docs with logo by @jsmariegaard in #93
• catch warnings in pytest by @jsmariegaard in #78
• fix failing in_domain validation for extraction from pandas modelresults by @jsmariegaard in #106
• Mean skill weights as dict by @ecomodeller in #103
• pointwise mean skill by @jsmariegaard in #104
• Fix bug when combining comparers by @jsmariegaard in #101

Full Changelog: v0.4.3...v0.5.0

v0.4.3 Minor

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

v0.4.2 Horizontal bar plot and more

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

Same as version 0.4.1

v0.4.1 Horizontal bar plot and more

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

v0.4.0: New metrics, normalized Taylor plot, other improvements and bugfixes

• 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

v0.3.6 Minor warning fix

• Fix pandas styler deprecation warning

v0.3.5 Altimetry API updates and load time improvements

• Altimetry API updates
• load time improvements, only import xarray when needed

v0.3.4 Minor

• Add shapely as a dependency