Is that possible to fill the space between the contour lines using hachure patterns? Or use them in grdimage?
phalucy opened this issue · 5 comments
Description of the desired feature
In many geo-related fields, we need to plot spatial distributions of composite values or trends together with their significant levels.
Many papers have those kinds of maps by showing the levels with dots/hatchure patterns.
However, I don't know there is a way to reproduce those figures with hatched significant fields in GMT.
Is there any way to plot some patterns/dots/lines over the significant values?
One potential way may be creating a grd file by replacing insignificant values with NaNs. Then, I could use grdimage to plot it using cmap, which contains hachure patterns instead of normal colors. But for now, I don't know how to do so, because hacure patterns only works when 'fill' or '-G' function is available.
By the way, the GMT example 16 (https://docs.generic-mapping-tools.org/dev/gallery/ex16.html) showed a way to use hatched cpt and grdview, but it is not 'elegent' way because we need to edit the cpt file manually. I think it could be possible to include such function inside the codes of GMT/PyGMT.
Are you willing to help implement and maintain this feature?
No
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Many papers have those kinds of maps by showing the levels with dots/hatchure patterns.
Can you please show some examples so that we can understand the feature request better?
Many papers have those kinds of maps by showing the levels with dots/hatchure patterns.
Can you please show some examples so that we can understand the feature request better?
Hi, thanks for reply.
Please find the example figures in the following paper: https://www.nature.com/articles/s41467-022-31676-8 (see Figs. 1-3)
I think the hatching patterns in those figures may be done by contourf function in matplotlib (https://matplotlib.org/stable/gallery/images_contours_and_fields/contourf_hatching.html) or contour effects in NCL (https://www.ncl.ucar.edu/Applications/coneff.shtml; see the example [coneff_13.ncl]).
It seems a nice feature but may be not easy to implement.
Maybe a first step would be to allow patterns when setting up a custom colormap. Probably, this is something that has to be implemented directly in GMT.
import pygmt
# -----------------------------------------------------------------------------
# (I) cmap with colors - allowed
fig = pygmt.Figure()
fig.basemap(region=[-5, 5, -1, 1], projection="X10c/2c", frame=0)
pygmt.makecpt(cmap="lightorange,orange,red,darkred", series=[0, 4, 1])
fig.colorbar(cmap=True, position="jMC+h", frame=True)
fig.show()
# %%
# -----------------------------------------------------------------------------
# (II) cmap with pattern - not available
# GMTCLibError: Module 'makecpt' failed with status code 8:
# makecpt [ERROR]: Badly formatted color entry: +p8
fig = pygmt.Figure()
fig.basemap(region=[-5, 5, -1, 1], projection="X10c/2c", frame=0)
pygmt.makecpt(cmap="p8,p17,p15,p25", series=[0, 4, 1])
fig.colorbar(cmap=True, position="jMC+h", frame=True)
fig.show()