pycequeau.core package

Core module.

class pycequeau.core.CopernicusDEMProcessor(project_path: str, extent: list | tuple)

Bases: object

_summary_

classmethod basic_dem_condition(in_dem: str, in_wbm: str)

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Returns:

_description_

Return type:

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download_and_merge()

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Returns:

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Return type:

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property project_extent

project_extent getter

pycequeau.core.GetExtent(raster: Dataset)

Return list of corner coordinates from a gdal Dataset

class pycequeau.core.UnitHandler

Bases: object

Convert meteorological variables to their canonical units.

classmethod convert_array_to_canonical_units(values: np.ndarray | xr.DataArray, source_unit: str, spec: VariableSpec) → np.ndarray | xr.DataArray

classmethod convert_dataarray_to_canonical_units(data_array: xr.DataArray, spec: VariableSpec) → xr.DataArray

classmethod convert_temperature_to_celsius(values: ndarray | DataArray, source_unit: str) → ndarray | DataArray

classmethod convert_vapor_pressure_to_mmhg(values: ndarray | DataArray, source_unit: str) → ndarray | DataArray

classmethod normalize_unit_text(unit: str) → str

pycequeau.core.clip_netcdf(nc_files_path: str, bounds: list, output_path: str)

_summary_

Parameters:

• nc_files_path (str) – _description_

• bounds (list) – _description_

• output_path (str) – _description_

pycequeau.core.dataframe_to_struct_array(df: DataFrame) → ndarray

Convert DataFrame to MATLAB struct-array layout (1xN struct).

pycequeau.core.fix_calendar(ds: Dataset)

pycequeau.core.fix_geometry(gdf: GeoDataFrame) → GeoDataFrame

_summary_ https://gis.stackexchange.com/questions/430384/using-shapely-methods-explain-validity-and-make-valid-on-shapefile :param gdf: _description_ :type gdf: gpd.GeoDataFrame

Returns:

_description_

Return type:

gpd.GeoDataFrame

pycequeau.core.get_altitude_point(DEM: Dataset, lat_utm: array, lon_utm: array)

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Parameters:

• DEM (gdal.Dataset) – _description_

• lat_utm (np.array) – _description_

• lon_utm (np.array) – _description_

Returns:

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Return type:

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pycequeau.core.get_index_list(raster: Dataset, x: ndarray, y: ndarray) → tuple

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Parameters:

• raster (gdal.Dataset) – _description_

• x (np.ndarray) – _description_

• y (np.ndarray) – _description_

Returns:

_description_

Return type:

tuple

pycequeau.core.intermidiate_interpolation(ds: Dataset, scale: int)

pycequeau.core.mat_field_value(value)

Normalize a single table value to MATLAB-friendly field content.

pycequeau.core.mat_to_py(value)

Recursively convert scipy.loadmat objects into plain Python containers.

pycequeau.core.polygonize_raster(raster_name: str)

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Parameters:

raster_name (str) – _description_

Returns:

NoData value from the input raster first band.

Return type:

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pycequeau.core.rasterize_feature(gdf: GeoDataFrame, raster_name: str, att: str) → ndarray

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Parameters:

• gdf (gpd.GeoDataFrame) – _description_

• raster_name (str) – _description_

• att (str) – _description_

Returns:

_description_

Return type:

np.ndarray

pycequeau.core.rasterize_shp(grid_shp: str, ref_name: str, field: str) → ndarray

_summary_

Parameters:

• grid_shp (str) – _description_

• ref_name (str) – _description_

• field (str) – _description_

Returns:

_description_

Return type:

np.ndarray

pycequeau.core.rasterize_shp_as_byte(grid_shp: str, ref_name: str, field: str, name: str) → None

_summary_

Parameters:

• grid_shp (str) – _description_

• ref_name (str) – _description_

• field (str) – _description_

• name (str) – _description_

Returns:

_description_

Return type:

_type_

pycequeau.core.regrid_CE(raster: Dataset, shp: Dataset, grid_size: int) → Dataset

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Parameters:

• raster (gdal.Dataset) – _description_

• shp (ogr.DataSource) – _description_

• grid_size (int) – _description_

Returns:

_description_

Return type:

gdal.Dataset

pycequeau.core.to_mat_compatible(value)

Recursively convert Python containers to scipy.savemat-compatible values.

Submodules

• pycequeau.core.cop_processor module
  • CopernicusDEMProcessor
    • CopernicusDEMProcessor.basic_dem_condition()
    • CopernicusDEMProcessor.download_and_merge()
    • CopernicusDEMProcessor.project_extent
• pycequeau.core.manage_files module
  • delete_raster_and_sidecars()
• pycequeau.core.matlab_utils module
  • dataframe_to_struct_array()
  • mat_field_value()
  • mat_to_py()
  • to_mat_compatible()
• pycequeau.core.netcdf module
  • clip_netcdf()
  • fix_calendar()
  • intermidiate_interpolation()
• pycequeau.core.projections module
  • get_proj_code()
  • get_transformer()
  • latlon_to_utm()
  • utm_to_latlon()
• pycequeau.core.unit_handler module
  • UnitHandler
    • UnitHandler.convert_array_to_canonical_units()
    • UnitHandler.convert_dataarray_to_canonical_units()
    • UnitHandler.convert_temperature_to_celsius()
    • UnitHandler.convert_vapor_pressure_to_mmhg()
    • UnitHandler.normalize_unit_text()
• pycequeau.core.utils module
  • GetExtent()
  • convert_multi_to_poly()
  • convert_slope()
  • falls_in_extent()
  • find_nearest()
  • fix_geometry()
  • get_altitude_point()
  • get_index_list()
  • get_outlet_point()
  • ogr_to_gpd()
  • polygonize_raster()
  • rasterize_feature()
  • rasterize_shp()
  • rasterize_shp_as_byte()
  • reclassify_landcover()
  • regrid_CE()
  • saveGTIFF()