Image and vector transformations

There are several useful utility functions in cartopy to help transform and reshape data when going from one projection to another.

Image transformations

Generic functionality to support Cartopy image transformations.

mesh_projection(projection, nx, ny[, ...])	Return sample points in the given projection which span the entire projection range evenly.
regrid(array, source_x_coords, ...[, ...])	Regrid the data array from the source projection to the target projection.
warp_array(array, target_proj[, ...])	Regrid the data array from the source projection to the target projection.
warp_img(fname, target_proj[, source_proj, ...])	Regrid the image file from the source projection to the target projection.

Vector transformations

Generic functionality to support Cartopy vector transforms.

vector_scalar_to_grid(src_crs, target_proj, ...)

Transform and interpolate a vector field to a regular grid in the target projection.

Longitude wrapping

Utilities that are useful in conjunction with cartopy.

add_cyclic_point(data[, coord, axis])	Add a cyclic point to an array and optionally a corresponding coordinate.
add_cyclic(data[, x, y, axis, cyclic, precision])	Add a cyclic point to an array and optionally corresponding x/longitude and y/latitude coordinates.

LinearRing/LineString projection

Trace pulls together proj, GEOS and _crs.pyx to implement a function to project a LinearRing / LineString. In general, this should never be called manually, instead leaving the processing to be done by the cartopy.crs.Projection subclasses.

project_linear(geometry, src_crs, ...)	Project a geometry from one projection to another.
Interpolator
CartesianInterpolator
SphericalInterpolator
LineAccumulator()