pyresample.utils package

Submodules

• pyresample.utils.cartopy module
  • Projection
    • Projection.__init__()
    • Projection.boundary
• pyresample.utils.cf module
  • load_cf_area()
• pyresample.utils.errors module
  • PerformanceWarning
• pyresample.utils.proj4 module
  • DaskFriendlyTransformer
    • DaskFriendlyTransformer.__init__()
    • DaskFriendlyTransformer.from_crs()
    • DaskFriendlyTransformer.transform()
  • convert_proj_floats()
  • get_geodetic_crs_with_no_datum_shift()
  • get_geostationary_height()
  • ignore_pyproj_proj_warnings()
  • proj4_dict_to_str()
  • proj4_radius_parameters()
  • proj4_str_to_dict()
• pyresample.utils.rasterio module
  • get_area_def_from_raster()
• pyresample.utils.row_appendable_array module
  • RowAppendableArray
    • RowAppendableArray.__init__()
    • RowAppendableArray.append_row()
    • RowAppendableArray.to_array()

Module contents

Miscellaneous utility functions for pyresample.

pyresample.utils.check_and_wrap(lons, lats)

Wrap longitude to [-180:+180[ and check latitude for validity.

Parameters:

• lons (ndarray) – Longitude degrees

• lats (ndarray) – Latitude degrees

Returns:

Longitude degrees in the range [-180:180[ and the original

latitude array

Return type:

lons, lats

Raises:

ValueError – If latitude array is not between -90 and 90

pyresample.utils.check_slice_orientation(sli)

Check that the slice is slicing the right way.

pyresample.utils.convert_def_to_yaml(*args, **kwargs)

Convert an area definition to yaml representation.

pyresample.utils.create_area_def(*args, **kwargs)

Create an area definition.

pyresample.utils.fwhm2sigma(fwhm)

Calculate sigma for gauss function from FWHM (3 dB level).

Parameters:

fwhm (float) – FWHM of gauss function (3 dB level of beam footprint)

Returns:

sigma – sigma for use in resampling gauss function

Return type:

float

pyresample.utils.generate_nearest_neighbour_linesample_arrays(source_area_def, target_area_def, radius_of_influence, nprocs=1)

Generate linesample arrays for nearest neighbour grid resampling.

Parameters:

• source_area_def (object) – Source area definition as geometry definition object

• target_area_def (object) – Target area definition as geometry definition object

• radius_of_influence (float) – Cut off distance in meters

• nprocs (int, optional) – Number of processor cores to be used

Returns:

(row_indices, col_indices)

Return type:

tuple of numpy arrays

pyresample.utils.generate_quick_linesample_arrays(source_area_def, target_area_def, nprocs=1)

Generate linesample arrays for quick grid resampling.

Parameters:

• source_area_def (object) – Source area definition as geometry definition object

• target_area_def (object) – Target area definition as geometry definition object

• nprocs (int, optional) – Number of processor cores to be used

Returns:

(row_indices, col_indices)

Return type:

tuple of numpy arrays

pyresample.utils.get_area_def(*args, **kwargs)

Get an area definition.

pyresample.utils.load_area(*args, **kwargs)

Load an area.

pyresample.utils.parse_area_file(*args, **kwargs)

Parse an area file.

pyresample.utils.recursive_dict_update(d, u)

Update dictionary recursively.

Copied from:

http://stackoverflow.com/questions/3232943/update-value-of-a-nested-dictionary-of-varying-depth

pyresample.utils.wrap_longitudes(lons)

Wrap longitudes to the [-180:+180[ validity range (preserves dtype).

Parameters:

lons (numpy array) – Longitudes in degrees

Returns:

lons – Longitudes wrapped into [-180:+180[ validity range

Return type:

numpy array