Maintenance v2.0

• bug #12 (python 3.10)
• enh #4 (Unification of parameters in to_xarray, to_scipp and to_dataframe)
• add CI processus (Github Workflow)
• pre-commit integration

Multidimensional converter

• extension to multidimensional interfaces
  • Xarray interface (to_xarray method, from_xarray function)
  • scipp interface (to_scipp method, from_scipp function)
• ENH #4 #5 #7 #8 #9

TAB-analysis and TAB-dataset integration

• bug install

TAB-analysis and TAB-dataset integration

• add to_analysis function to use TAB-analysismodule
• add check_relation function to use TAB-dataset.check_relation method
• add pandas accessor for to_analysis and check_relation

compatibility with tab_dataset package

• move decode_ntv_tab method in ntv_util module ('json_ntv')

Extension

• add User Guide
• add equals method (check names and cat.categories dtype)
• add pandas accessor for to_json, equals and as_def_type
• BUG #3: categorical with a single value

First version with NTV and Table Schema format

• add Table Schema interface
• Table Schema type / format supported:
  • numerical: integer/default, boolean/default, number/default
  • json: object/default, array/default, string/default, string/uri, string/email
  • datation: datetime/default, date/default, time/default, yearmonth/default, year/default
  • location: geopint/array, geojson/default
• additional type / format supported (Table Schema extension):
  • numerical: number/floatxx, integer/intxx, integer/uintxx
  • json: string/file, object/null, object/object
  • datation: date/day, date/wday, date/yday, date/week, time/hour, time/minute, time/second
  • location: geojson/geometry, geojson/polygon, geojson/line
• correspondance between NTVtype and type/ format in ntv_table.ini

RC1 - first release candidate

• First release candidate
• functions to_json, read_json and as_def_type available
• specific methods available in the class DataFrameConnec and SeriesConnec
• correspondance between NTVtype and dtype in ntv_pandas.ini
• dtype supported:
  • timedelta64[ns], datetime64[ns]
  • string
  • Floatxx, UIntxx, Intxx, boolean
  • categorical
• NTVtype supported:
  • duration, period
  • datetime, date, time, dat
  • month, year, day, wday, yday, week, hour, minute, second
  • json, string, number, boolean, array, object, null
  • floatxx, uintxx, intxx
  • uri, email, file
  • point, line, polygon, geometry, geojson
  • multipoint, multiline, multipolygon, box, codeolc
  • row, field, tab, ntv