v0.70.0

v0.70.0 | 28 Feb 2024

New features

• In StepwiseOutlierDetection, it is now possible to re-run an outlier detection method. The re-run(s)
  would produce flag(s) with the same name(s) as for the first (original) run. Therefore, an integer is added
  to the flag name. For example, if the test z-score daytime/nighttime is run the first time, it produces the
  flag with the name FLAG_TA_T1_2_1_OUTLIER_ZSCOREDTNT_TEST. When the test is run again (e.g. with different
  settings) then the name of the flag of this second run is FLAG_TA_T1_2_1_OUTLIER_ZSCOREDTNT_2_TEST,
  etc ... The script now checks whether a flag of the same name was already created, in which case an
  integer is added to the flag name. These re-runs are now available in addition to the repeat=True keyword.
  (diive.pkgs.outlierdetection.stepwiseoutlierdetection.StepwiseOutlierDetection.addflag)
  Example:
  • METHOD with SETTINGS is applied with repeat=True and therefore repeated until no more outliers
    were found with these settings. The name of the flag produced is TEST_METHOD_FLAG.
  • Next, METHOD is applied again with repeat=True, but this time with different SETTINGS. Like before,
    the test is repeated until no more outliers were found with the new settings. The name of the flag produced
    is TEST_METHOD_2_FLAG.
  • METHOD can be re-run any number of times, each time producing a new
    flag: TEST_METHOD_3_FLAG, TEST_METHOD_4_FLAG, ...
• Added new function to format timestamps to FLUXNET ISO
  format (YYYYMMDDhhmm) (diive.core.times.times.format_timestamp_to_fluxnet_format)

Bugfixes

• Refactored and fixed class to reformat data for FLUXNET
  upload (diive.pkgs.formats.fluxnet.FormatEddyProFluxnetFileForUpload)
• Fixed None error when reading data files (diive.core.io.filereader.DataFileReader._parse_file)

Notebooks

• Updated notebook FormatEddyProFluxnetFileForUpload.ipynb