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This pull request refactors the
SHGrid.plot()
routine by adding a number of optional arguments along with support for projections usingCartopy
andpygmt
.SHGrid
.SHGrid.plot(projection=ccrs.ProjectionName())
.cb_label
for labels,cb_ylabel
for a label on the y axis of the colorbar,cb_tick_interval
for specifying the major tick interval,cb_minor_tick_interval
for specifying minor tick intervals,cb_triangles
for plotting upper/lower limit triangles at the ends of the colorbar, andcb_offset
to override the default spacing between the map and colorbar.cmap_limits
to specify the lower and upper bounds of the data, as well as an interval for constant color intervals, andcmap_reverse
to reverse the colormap.ticks
specifies which ticks and annotations to show, using a syntax from gmt (i.e.,'WSen'
).plotgmt
. This function takes nearly the same arguments asplot()
. As soon as pygmt implements projection classes (Implement Projection classes to encapsulate arguments GenericMappingTools/pygmt#379), this will be incorporated into theplot
function in the same manner as cartopy was.plot()
function.Other changes:
SHGrid.to_real()
andSHGrid.to_imag()
return the real and imaginary components of a complexSHGrid
instance.copy
toSHCoeffs.pad()
.