Hello community, here is the log from the commit of package python-xarray for openSUSE:Factory checked in at 2019-03-18 10:42:48 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-xarray (Old) and /work/SRC/openSUSE:Factory/.python-xarray.new.28833 (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-xarray" Mon Mar 18 10:42:48 2019 rev:9 rq:685723 version:0.12.0 Changes: -------- --- /work/SRC/openSUSE:Factory/python-xarray/python-xarray.changes 2019-02-14 14:36:07.351577456 +0100 +++ /work/SRC/openSUSE:Factory/.python-xarray.new.28833/python-xarray.changes 2019-03-18 10:42:50.047165098 +0100 @@ -1,0 +2,93 @@ +Sat Mar 16 22:38:17 UTC 2019 - Arun Persaud <[email protected]> + +- specfile: + * since this version is for python3 only, add a hint to skip python 2 during the build + +- update to version 0.12.0: + * Highlights include: + + Removed support for Python 2. This is the first version of + xarray that is Python 3 only! + + New coarsen() and integrate() methods. See Coarsen large arrays + and Computation using Coordinates for details. + + Many improvements to cftime support. See below for details. + * Deprecations + + The compat argument to Dataset and the encoding argument to + DataArray are deprecated and will be removed in a future + release. (GH1188) By Maximilian Roos. + * cftime related enhancements + + Resampling of standard and non-standard calendars indexed by + CFTimeIndex is now possible. (GH2191). By Jwen Fai Low and + Spencer Clark. + + Taking the mean of arrays of cftime.datetime objects, and by + extension, use of coarsen() with cftime.datetime coordinates is + now possible. By Spencer Clark. + + Internal plotting now supports cftime.datetime objects as time + series. (GH2164) By Julius Busecke and Spencer Clark. + + cftime_range() now supports QuarterBegin and QuarterEnd offsets + (GH2663). By Jwen Fai Low + + open_dataset() now accepts a use_cftime argument, which can be + used to require that cftime.datetime objects are always used, or + never used when decoding dates encoded with a standard + calendar. This can be used to ensure consistent date types are + returned when using open_mfdataset() (GH1263) and/or to silence + serialization warnings raised if dates from a standard calendar + are found to be outside the pandas.Timestamp-valid range + (GH2754). By Spencer Clark. + + pandas.Series.dropna() is now supported for a pandas.Series + indexed by a CFTimeIndex (GH2688). By Spencer Clark. + * Other enhancements + + Added ability to open netcdf4/hdf5 file-like objects with + open_dataset. Requires (h5netcdf>0.7 and h5py>2.9.0). (GH2781) + By Scott Henderson + + Add data=False option to to_dict() methods. (GH2656) By Ryan + Abernathey + + DataArray.coarsen() and Dataset.coarsen() are newly added. See + Coarsen large arrays for details. (GH2525) By Keisuke Fujii. + + Upsampling an array via interpolation with resample is now + dask-compatible, as long as the array is not chunked along the + resampling dimension. By Spencer Clark. + + xarray.testing.assert_equal() and + xarray.testing.assert_identical() now provide a more detailed + report showing what exactly differs between the two objects + (dimensions / coordinates / variables / attributes) (GH1507). By + Benoit Bovy. + + Add tolerance option to resample() methods bfill, pad, + nearest. (GH2695) By Hauke Schulz. + + DataArray.integrate() and Dataset.integrate() are newly + added. See Computation using Coordinates for the + detail. (GH1332) By Keisuke Fujii. + + Added drop_dims() (GH1949). By Kevin Squire. + * Bug fixes + + Silenced warnings that appear when using pandas 0.24. By Stephan + Hoyer + + Interpolating via resample now internally specifies + bounds_error=False as an argument to scipy.interpolate.interp1d, + allowing for interpolation from higher frequencies to lower + frequencies. Datapoints outside the bounds of the original time + coordinate are now filled with NaN (GH2197). By Spencer Clark. + + Line plots with the x argument set to a non-dimensional coord + now plot the correct data for 1D DataArrays. (GH27251). By Tom + Nicholas. + + Subtracting a scalar cftime.datetime object from a CFTimeIndex + now results in a pandas.TimedeltaIndex instead of raising a + TypeError (GH2671). By Spencer Clark. + + backend_kwargs are no longer ignored when using open_dataset + with pynio engine (:issue:‘2380’) By Jonathan Joyce. + + Fix open_rasterio creating a WKT CRS instead of PROJ.4 with + rasterio 1.0.14+ (GH2715). By David Hoese. + + Masking data arrays with xarray.DataArray.where() now returns an + array with the name of the original masked array (GH2748 and + GH2457). By Yohai Bar-Sinai. + + Fixed error when trying to reduce a DataArray using a function + which does not require an axis argument. (GH2768) By Tom + Nicholas. + + Concatenating a sequence of DataArray with varying names sets + the name of the output array to None, instead of the name of the + first input array. If the names are the same it sets the name to + that, instead to the name of the first DataArray in the list as + it did before. (GH2775). By Tom Nicholas. + + Per CF conventions, specifying 'standard' as the calendar type + in cftime_range() now correctly refers to the 'gregorian' + calendar instead of the 'proleptic_gregorian' calendar (GH2761). + +------------------------------------------------------------------- Old: ---- xarray-0.11.3.tar.gz New: ---- xarray-0.12.0.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-xarray.spec ++++++ --- /var/tmp/diff_new_pack.C1xzf4/_old 2019-03-18 10:42:51.043164531 +0100 +++ /var/tmp/diff_new_pack.C1xzf4/_new 2019-03-18 10:42:51.043164531 +0100 @@ -17,8 +17,9 @@ %{?!python_module:%define python_module() python-%{**} python3-%{**}} +%define skip_python2 1 Name: python-xarray -Version: 0.11.3 +Version: 0.12.0 Release: 0 Summary: N-D labeled arrays and datasets in Python License: Apache-2.0 ++++++ xarray-0.11.3.tar.gz -> xarray-0.12.0.tar.gz ++++++ ++++ 13860 lines of diff (skipped)
