Request to add transform_first keyword to barbs

[greglucas]

Would it be possible to implement something similar to #1291 with barbs? I am experiencing significant slowdowns with the barb transformation with high-resolution data. Appears I'm not the only one: https://stackoverflow.com/questions/71578820/use-transform-first-keyword-in-barbs

Originally posted by @karlwx in #1291 (comment)

[greglucas]

@karlwx I think it would be a little trickier because you need to transform vectors instead of just scalars, but it should in principle be doable. We do have a decorator that you could try playing around with to see whether it would work for your use-case and/or modifying it for the vector transform paths.

cartopy/lib/cartopy/mpl/geoaxes.py

Line 311 in ea946a1

def _add_transform_first(func):

used in Contour here:

cartopy/lib/cartopy/mpl/geoaxes.py

Lines 1572 to 1574 in ea946a1

	@_add_transform
	@_add_transform_first
	def contour(self, *args, **kwargs):

[karlwx]

Thanks @greglucas. Maybe an easier solution would be to add a keyword argument that would automatically thin the arrays of x, y, and data based on the number of data points within the map extent and the value of regrid_shape before transforming?

[greglucas]

Possibly, I'm not sure what that would look like though... Would you be able to do that yourself beforehand something like barbs(x[::3, ::3], y[::3, ::3], ...)?

The regridding is located here if you want to dig in and try things out:

cartopy/lib/cartopy/vector_transform.py

Line 19 in ea946a1

def _interpolate_to_grid(nx, ny, x, y, *scalars, **kwargs):