History#

0.13.12 (unreleased)#

Internal Changes#

  • Simplify geo2polygon by making the two CRS arguments optional and only reproject if CRSs are given and different.

  • Apply the geometry mask in gtiff2xarray even if the input geometry is a bounding box since the mask might not be the same geometry as the one that was used during data query.

  • Fully migrate setup.cfg and setup.py to pyproject.toml.

  • Convert relative imports to absolute with absolufy-imports.

0.13.11 (2023-01-08)#

Bug Fixes#

  • Fix an in issue xarray_geomask where for geometries that are smaller than a single pixel, the bbox clipping operation fails. This is fixed by using the auto_expand option of rioxarray.clip_box.

0.13.10 (2022-12-09)#

New Features#

  • Add a new function called nested_polygons for determining nested (multi)polygons in a gepandas.GeoDataFrame or geopandas.GeoSeries.

  • Add a new function called geodf2xarray for rasterizing a geopandas.GeoDataFrame to a xarray.DataArray.

Internal Changes#

  • Modify the codebase based on Refurb suggestions.

  • In xarray_geomask, if drop=True recalculate its transform to ensure the correct geo references are set if the shape of the dataset changes.

0.13.8 (2022-11-04)#

Internal Changes#

  • Improve the performance of xarray_geomask significantly by first clipping the data to the geometry’s bounding box, then if the geometry is a polygon, masking the data with the polygon. This is much faster than directly masking the data with the polygon. Also, support passing a bounding box to xarray_geomask in addition to polygon and multipolygon.

  • Fix deprecation warning of pandas when changing the geometry column of a GeoDataFrame in then break_lines function.

0.13.7 (2022-11-04)#

Internal Changes#

  • When combining the responses, now dask handles data chunking more efficiently. This is especially important for handling large responses from WMS services.

  • Improve type hints for CRS-related arguments of all functions by including string, integer, and pyproj.CRS types.

  • In gtiff2xarray use rasterio engine to make sure all rioxarray attrs are read.

0.13.6 (2022-08-30)#

Internal Changes#

  • Add the missing PyPi classifiers for the supported Python versions.

0.13.5 (2022-08-29)#

Breaking Changes#

  • Append “Error” to all exception classes for conforming to PEP-8 naming conventions.

0.13.2 (2022-06-14)#

Breaking Changes#

  • Set the minimum supported version of Python to 3.8 since many of the dependencies such as xarray, pandas, rioxarray have dropped support for Python 3.7.

  • Bump min versions of rioxarray to 0.10 since it adds reading/writing GCPs.

Internal Changes#

  • Use micromamba for running tests and use nox for linting in CI.

0.13.1 (2022-06-11)#

New Features#

  • Add support for passing a custom bounding box in the Coordinates class. The default is the bounds of EPSG:4326 to retain backward compatibility. This new class parameter allows a user to check if a list of coordinates is within a custom bounding box. The bounds should be the EPSG:4326 coordinate system.

  • Add a new function called geometry_list for converting a list of multi-geometries to a list of geometries.

0.13.0 (2022-03-03)#

Internal Changes#

  • Write nodata attribute using rioxarray in geotiff2xarray since the clipping operation of rioxarray uses this value as fill value.

Bug Fixes#

  • In the break_lines function, convert MultiLineString into LineString since shapely.ops.substring only accepts LineString.

0.12.3 (2022-02-04)#

New Features#

  • Add a function called break_lines for breaking lines at given points.

  • Add a function called snap2nearest for snapping points to the nearest point on a line with a given tolerance. It accepts a geopandas.GeoSeries of points and a geopandas.GeoSeries or geopandas.GeoDataFrame of lines. It automatically snaps to the closest lines in the input data.

0.12.2 (2022-01-15)#

New Features#

  • Add a new class called GeoBSpline that generates B-splines from a set of coordinates. The spline attribute of this class has five attributes: x and y coordinates, phi and radius which are curvature and radius of curvature, respectively, and distance which is the total distance of each point along the B-spline from the starting points.

  • Add a new class called Coordinates that validates a set of lon/lat coordinates. It normalizes longitudes to the range [-180, 180) and has a points property that is geopandas.GeoSeries with validated coordinates. It uses spatial indexing to speed up the validation and should be able to handle large datasets efficiently.

  • Make transform2tuple a public function.

Internal Changes#

  • The geometry and geo_crs arguments of gtiff2xarray are now optional. This is useful for cases when the input GeoTiff response is the results of a bounding box query and there is no need for a geometry mask.

  • Replace the missing values after adding geometry mask via xarray_geomask by the nodatavals attribute of the input xarray.DataArray or xarray.Dataset. Therefore, the data type of the input xarray.DataArray or xarray.Dataset is conserved.

  • Expose connectivity argument of rasterio.features.shapes function in xarray2geodf function.

  • Move all private functions to a new module to make the main module less cluttered.

0.12.1 (2021-12-31)#

Internal Changes#

  • Refactor arcgis2geojson for better readability and maintainability.

  • In arcgis2geojson set the geometry to null if its type is not supported, such as curved polylines.

0.12.0 (2021-12-27)#

Internal Changes#

  • Add all the missing types so mypy --strict passes.

  • Bump version to 0.12.0 to match the release of pygeoogc.

0.11.7 (2021-11-09)#

Internal Changes#

  • Use rioxarray for dealing with GeoTIFF binaries since xarray deprecated the xarray.open_rasterio function, as it’s discussed in this PR.

  • Use importlib-metadata for getting the version instead of pkg_resources to decrease import time as discussed in this issue.

0.11.6 (2021-10-06)#

New Features#

  • Add a new function, xarray2geodf, to convert a xarray.DataArray to a geopandas.GeoDataFrame.

0.11.5 (2021-06-16)#

Bug Fixes#

  • Fix an issue with gtiff2xarray where the scales and offsets attributes of the output DataArray were floats rather than tuples (GH30).

Internal Changes#

  • Add a new function, transform2tuple, for converting Affine transforms to a tuple. Previously, the Affine transform was converted to a tuple using to_gdal() method of rasterio.Affine which was not compatible with rioxarray.

0.11.4 (2021-08-26)#

Internal Changes#

  • Use ujson for JSON parsing instead of orjson since orjson only serializes to bytes which is not compatible with aiohttp.

  • Convert the transform attribute data type from Affine to tuple since saving a data array to netcdf cannot handle the Affine type.

0.11.3 (2021-08-19)#

  • Fix an issue in geotiff2xarray related to saving a xarray object to NetCDF when its transform attribute has Affine type rather than a tuple.

0.11.2 (2021-07-31)#

The highlight of this release is performance improvement in gtiff2xarray for handling large responses.

New Features#

  • Automatic detection of the driver by default in gtiff2xarray as opposed to it being GTiff.

Internal Changes#

  • Make geo2polygon, get_transform, and get_nodata_crs public functions since other packages use it.

  • Make xarray_mask a public function and simplify gtiff2xarray.

  • Remove MatchCRS since it’s already available in pygeoogc.

  • Validate input geometry in geo2polygon.

  • Refactor gtiff2xarray to check for the ds_dims outside the main loops to improve the performance. Also, the function tries to detect the dimension names automatically if ds_dims is not provided by the user, explicitly.

  • Improve performance of json2geodf by using list comprehension and performing checks outside the main loop.

Bug Fixes#

  • Add the missing arguments for masking the data in gtiff2xarray.

0.11.1 (2021-06-19)#

Bug Fixes#

  • In some edge cases the y-coordinates of a response might not be monotonically sorted so dask fails. This release sorts them to address this issue.

0.11.0 (2021-06-19)#

New Features#

  • Function gtiff2xarray returns a parallelized xarray.Dataset or xarray.DataAraay that can handle large responses much more efficiently. This is achieved using dask.

Breaking Changes#

  • Drop support for Python 3.6 since many of the dependencies such as xarray and pandas have done so.

  • Refactor MatchCRS. Now, it should be instantiated by providing the in and out CRSs like so: MatchCRS(in_crs, out_crs). Then its methods, namely, geometry, bounds and coords, can be called. These methods now have only one input, geometry.

  • Change input and output types of MatchCRS.coords from tuple of lists of coordinates to list of (x, y) coordinates.

  • Remove xarray_mask and gtiff2file since rioxarray is more general and suitable.

Internal Changes#

  • Remove unnecessary type checks for private functions.

  • Refactor json2geodf to improve robustness. Use get method of dict for checking key availability.

0.10.1 (2021-03-27)#

  • Setting transform of the merged dataset explicitly (GH3).

  • Add announcement regarding the new name for the software stack, HyRiver.

  • Improve pip installation and release workflow.

0.10.0 (2021-03-06)#

  • The first release after renaming hydrodata to PyGeoHydro.

  • Address GH1 by sorting y coordinate after merge.

  • Make mypy checks more strict and fix all the errors and prevent possible bugs.

  • Speed up CI testing by using mamba and caching.

0.9.0 (2021-02-14)#

  • Bump version to the same version as PyGeoHydro.

  • Add gtiff2file for saving raster responses as geotiff file(s).

  • Fix an error in _get_nodata_crs for handling no data value when its value in the source is None.

  • Fix the warning during the GeoDataFrame generation in json2geodf when there is no geometry column in the input JSON.

0.2.0 (2020-12-06)#

  • Added checking the validity of input arguments in gtiff2xarray function and provide useful messages for debugging.

  • Add support for multipolygon.

  • Remove the fill_hole argument.

  • Fixed a bug in xarray_geomask for getting the transform.

0.1.10 (2020-08-18)#

  • Fixed the gtiff2xarray issue with high resolution requests and improved robustness of the function.

  • Replaced simplejson with orjson to speed up JSON operations.

0.1.9 (2020-08-11)#

  • Modified griff2xarray to reflect the latest changes in pygeoogc 0.1.7.

0.1.8 (2020-08-03)#

  • Retained the compatibility with xarray 0.15 by removing the attrs flag.

  • Added xarray_geomask function and made it a public function.

  • More efficient handling of large GeoTiff responses by cropping the response before converting it into a dataset.

  • Added a new function called geo2polygon for converting and transforming a polygon or bounding box into a Shapely’s Polygon in the target CRS.

0.1.6 (2020-07-23)#

  • Fixed the issue with flipped mask in WMS.

  • Removed drop_duplicates since it may cause issues in some instances.

0.1.4 (2020-07-22)#

  • Refactor griff2xarray and added support for WMS 1.3.0 and WFS 2.0.0.

  • Add MatchCRS class.

  • Remove dependency on PyGeoOGC.

  • Increase test coverage.

0.1.3 (2020-07-21)#

  • Remove duplicate rows before returning the dataframe in the json2geodf function.

  • Add the missing dependency

0.1.0 (2020-07-21)#

  • First release on PyPI.