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

cartopy.img_transform contains:

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

cartopy.vector_transform contains:

vector_scalar_to_grid(src_crs, target_proj, ...)

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

Longitude wrapping

cartopy.util contains:

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

cartopy.trace contains:

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