Releases
v0.10.0
openEO Python client v0.10.0 (SRR3 release)
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Added
Add support for comparison operators (<, >, <= and >=) in callback process building
Added Connection.describe_process() to retrieve and show a single process
Added DataCube.flatten_dimensions() and DataCube.unflatten_dimension
(Open-EO/openeo-processes#308 , Open-EO/openeo-processes#316 )
Added VectorCube.run_udf (to avoid non-standard process_with_node(UDF(...)) usage)
Added DataCube.fit_class_random_forest() and Connection.load_ml_model() to train and load Machine Learning models
(#279 )
Added DataCube.predict_random_forest() to easily use reduce_dimension with a predict_random_forest reducer
using a MlModel (trained with fit_class_random_forest)
(#279 )
Added DataCube.resample_cube_temporal (#284 )
Add target_dimension argument to DataCube.aggregate_spatial (#288 )
Add basic configuration file system to define a default back-end URL and enable auto-authentication (#264 , #187 )
Add context argument to DataCube.chunk_polygon()
Add Connection.version_info() to list version information about the client, the API and the back-end
Changed
Include openEO API error id automatically in exception message to simplify user support and post-mortem analysis.
Use Connection.default_timeout (when set) also on version discovery request
Drop ImageCollection from DataCube's class hierarchy.
This practically removes very old (pre-0.4.0) methods like date_range_filter and bbox_filter from DataCube.
(#100 , #278 )
Deprecate DataCube.send_job in favor of DataCube.create_job for better consistency (internally and with other libraries) (#276 )
Update (autogenerated) openeo.processes module to 1.2.0 release (2021-12-13) of openeo-processes
Update (autogenerated) openeo.processes module to draft version of 2022-03-16 (e4df8648) of openeo-processes
Update openeo.extra.spectral_indices to a post-0.0.6 version of Awesome Spectral Indices
Removed
Removed deprecated 'zonal_statistics' method from the 1.x version of the API.
Deprecate old-style DataCube.polygonal_mean_timeseries(), DataCube.polygonal_histogram_timeseries(),
DataCube.polygonal_median_timeseries() and DataCube.polygonal_standarddeviation_timeseries()
Fixed
Support rename_labels on temporal dimension (#274 )
Basic support for mixing DataCube and ProcessBuilder objects/processing (#275 )
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