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wpreimes authored Sep 13, 2024
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Expand Up @@ -4,71 +4,68 @@ Changelog

Unreleased changes in master branch
===================================
-
Version v0.5.2
==============
- scipy was added to pip dependencies

Version v0.5.1
==============
- Fixed a compatibility issue with numpy 2.0.0 (np.Inf was removed)
- Updated errors due to missing dependencies
- Basemap replaced with cartopy

Version v0.5.0
==============

- Add a more flexible reader to search points in shapes from shapefiles
- Default 100m country shapefiles are now provided in the package
- Fix deprecation warning when comparing grid for equality

Version v0.4.2
==============

- Fixes a bug in the cell grid creation if the cell size is chosen smaller than 1
(`PR #77 <https://github.com/TUW-GEO/pygeogrids/pull/77>`_ ).
- Better handling of ``np.inf`` in ``k_nearest_neighbor`` search
(`PR #76 <https://github.com/TUW-GEO/pygeogrids/pull/76>`_ ).

Version v0.4.1
==============

- Fixes a bug in the nearest neighbour lookup, where no points were returned
when less than k gpis are found in the selected max distance
(`Issue #73 <https://github.com/TUW-GEO/pygeogrids/issues/73>`_ ).

Version v0.4.0
==============

- Faster implementation of bbox search
- Uses pyscaffold v4 standard

Version v0.3.2
==============

- FIX: Nearest neighbour search for grids with non-default GPIs
- Replace Travis CI with Github Actions workflows.

Version v0.3.1
==============

- Add k parameter to nearest neighbor search (number of nearest neighbors to return)

Version v0.3.0
==============

- Refracture package to pyscaffold 3 standard

Version v0.2.6
==============

- Allow subsetting from non-binary masks
- Fix ParallelArcDist function (two calls of deg2rad(lat))
- Update readme
- Update to PyScaffold 2.5.9

Version v0.2.5
==============

- Fix speed bug of gpi2cell
- Update copyright header

Version v0.2.4
==============

- Add option to subset a grid with a shape file (OGRGeometry) in
get_shp_grid_points.
- Add shapefile module for reading shapefiles from
Expand All @@ -79,24 +76,20 @@ Version v0.2.4

Version v0.2.3
==============

- Fix bug in calc_lut in case of differently ordered subset of a grid.
- Add function to reorder grid based on different cell size. (See grids.reorder_to_cellsize)

Version v0.2.2
==============

- Add option to load grids with non standard variable name for gpis.

Version v0.2.1
==============

- Fix bug in gpi2lonlat with subset, see #42
- Add simple script for plotting a global cell partitioning.

Version v0.2.0
==============

- fix bug in storing/loading grids with shape attribute set.
- change equality check of grids to be more flexible. Now only a match of the
tuples gpi, lon, lat, cell is checked. The order does no longer matter.
Expand All @@ -108,56 +101,47 @@ Version v0.2.0

Version v0.1.9
==============

- bugfix in lonlat2cell. Improvements in dependency installation and
documentation.

Version v0.1.7
==============

- bugfix in gpi2lonlat. Now supports array as input.

Version v0.1.6
==============

- add geodatic datum functionality to grid objects

Version v0.1.5
==============

- bugfix of subgrid creation which returned wrongly shaped subarrays

Version v0.1.4
==============

- fix bug in lookuptable generation when gpis have custom ordering
- add functions for getting subgrids from cells and gpis

Version v0.1.3
==============

- change meaning and rename grid dimensions to lon2d, lat2d. They do
now represent 2d arrays of latitudes and longitudes which means that
they no longer have to be regular in order to be able to have a
shape. This is useful for e.g. orbit data

Version v0.1.2
==============

- fix issue #19 by refactoring the iterable checking into own function
- made pykdtree an optional requirement see issue #18

Version v0.1.1
==============

- added support for saving more subsets and loading a certain one
in/from a netcdf grid file
- fix #15 by setting correct shape for derived cell grids
- fix issue #14 of gpi2rowcol input types

Version v0.1
============

- Initial version pulled out of pytesmo
- added support for iterables like lists and numpy arrays to functions
like find\_nearest\_gpi. numpy arrays should work everywhere if you
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