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@spencerahill spencerahill released this 02 Mar 23:05
· 101 commits to master since this release
v0.1.1
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v0.1.1 (2 March 2017)

This release includes fixes for a number of bugs mistakenly introduced in the
refactoring of the variable loading step of calc.py (:pull:90), as well as
support for xarray version 0.9.1.

Enhancements

- Support for xarray version 0.9.1 and require it or a later xarray
  version.  By `Spencer Clark <https://github.com/spencerkclark>`_ and
  `Spencer Hill <https://github.com/spencerahill>`_.
- Better support for variable names relating to "bounds" dimension of
  input data files.  "bnds", "bounds", and "nv" now all supported
  (:pull:`140`).  By `Spencer Hill
  <https://github.com/spencerahill>`_.
- When coercing dims of input data to aospy's internal names, for
  scalars change only the name; for non-scalars change the name, force
  them to have a coord, and copy over their attrs (:pull:`140`).  By
  `Spencer Hill <https://github.com/spencerahill>`_.

Bug fixes
  • Fix bug involving loading data that has dims that lack coords (which
    is possible as of xarray v0.9.0). By Spencer Hill <https://github.com/spencerahill>_.
  • Fix an instance where the name for pressure half levels was
    mistakenly replaced with the name for the pressure full levels
    (:pull:126). By Spencer Clark <https://github.com/spencerkclark>_.
  • Prevent workaround for dates outside the pd.Timestamp valid
    range from being applied to dates within the pd.Timestamp valid
    range (:pull:128). By Spencer Clark <https://github.com/spencerkclark>_.
  • Ensure that all DataArrays associated with :py:class:aospy.Var
    objects have a time weights coordinate with CF-compliant time units.
    This allows them to be cast as the type np.timedelta64, and be
    safely converted to have units of days before taking time-weighted
    averages (:pull:128). By Spencer Clark <https://github.com/spencerkclark>_.
  • Fix a bug where the time weights were not subset in time prior to
    taking a time weighted average; this caused computed seasonal
    averages to be too small. To prevent this from failing silently
    again, we now raise a ValueError if the time coordinate of the
    time weights is not identical to the time coordinate of the array
    associated with the :py:class:aospy.Var (:pull:128). By
    Spencer Clark <https://github.com/spencerkclark>_.
  • Enable calculations to be completed using data saved as a single
    time-slice on disk (fixes :issue:132 through :pull:135). By
    Spencer Clark <https://github.com/spencerkclark>_.
  • Fix bug where workaround for dates outside the pd.Timestamp
    valid range caused a mismatch between the data loaded and the data
    requested (fixes :issue:138 through :pull:139). By Spencer Clark <https://github.com/spencerkclark>_.
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