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Releases: TUW-GEO/pytesmo

v0.6.9

07 Feb 09:08
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  • Add extendent collocation metric
  • Fix initial value for exponential filter
  • Fix #123

v0.6.8

29 Aug 14:31
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  • Adapt validation framework examples to new ASCAT package version.
  • Adapt ERS reader to new ASCAT package version.
  • Make validation framework work with datasets that contain NaN
    columns.
  • Make validation framework work with pygeobase.object_base.TS objects
    and subclasses.
  • Add scaler classes to the validation framework making it possible to
    use e.g. stored CDF parameters during validation.
  • ensure_iterable does no longer take a single string as an iterable.
    We want to keep the string as one object.

v0.6.7

25 Jul 12:46
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  • Add respect leap years option for climatology calculation.

v0.6.6

25 Jul 12:46
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  • Compatible with Python 3.6
  • Updated build process to also build wheels for Python 3.6

v0.6.5

12 Jul 10:19
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  • Add additonal functions for working with dekads.

v0.6.4

02 Jun 11:14
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  • Refactor resampling routine to be more modular and better usable outside of pytesmo.

v0.6.3

28 Apr 07:53
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  • temporal matching performance improvement of approx. 50%
  • Add functions for handling dekadal dates. See pytesmo.timedate.dekad.

v0.6.2

13 Jan 15:13
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  • Fix metadata for new version of pypi.

v0.6.1

13 Jan 14:08
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v0.6.1, 2017-01-13

  • Add return_clim keyword to anomaly calculation. Useful for getting both
    anomaly and climatology in one pandas.DataFrame. Also used in time series
    anomaly plot.
  • Fix bug in julian2date which led to negative microseconds in some edge cases.

Bye Bye ASCAT readers and small bugfixes.

29 Jul 09:24
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  • Moved the ASCAT readers to the ascat package. The functionality is the same, just replace
    import pytesmo.io.sat.ascat by import ascat and everything should work the same as before.
  • The H07 reader now returns also ssm mean as a value between 0 and 100. Before
    it was between 0 and 1 and inconsistent with the other ssm values.
  • Fix small bug in julian date calculation and add tests for it.
  • Add hamming window to resample module