This gallery example shows how to create multiple colormaps for different subplots. To better understand how GMT modern mode maintains several levels of colormaps, please refer to https://docs.generic-mapping-tools.org/latest/cookbook/features.html#gmt-modern-mode-hierarchical-levels for details.
grdimage [WARNING]: 2 annotations along the bottom border were skipped due to crowding. grdimage [WARNING]: Crowding decisions is controlled by MAP_ANNOT_MIN_SPACING, currently set to 25.5563p. grdimage [WARNING]: Decrease or increase MAP_ANNOT_MIN_SPACING to see more or fewer annotations, with 0 showing all annotations. <IPython.core.display.Image object>
import pygmt fig = pygmt.Figure() # Load Earth relief data for the entire globe and a subset region grid_globe = pygmt.datasets.load_earth_relief(resolution="01d") subset_region = [-14, 30, 35, 60] grid_subset = pygmt.datasets.load_earth_relief(resolution="10m", region=subset_region) # Define a 1-row, 2-column subplot layout. The overall figure dimensions is set # to be 15 cm wide and 8 cm high. Each subplot is automatically labelled. # The space between the subplots is set to be 0.5 cm. with fig.subplot( nrows=1, ncols=2, figsize=("15c", "8c"), autolabel=True, margins="0.5c" ): # Activate the first panel so that the colormap created by the makecpt # method is a panel-level CPT with fig.set_panel(panel=0): pygmt.makecpt(cmap="geo", series=[-8000, 8000]) # "R?" means Winkel Tripel projection with map width automatically # determined from the subplot width. fig.grdimage(grid=grid_globe, projection="R?", region="g", frame="a") fig.colorbar(frame=["a4000f2000", "x+lElevation", "y+lm"]) # Activate the second panel so that the colormap created by the makecpt # method is a panel-level CPT with fig.set_panel(panel=1): pygmt.makecpt(cmap="globe", series=[-6000, 3000]) # "M?" means Mercator projection with map width also automatically # determined from the subplot width. fig.grdimage(grid=grid_subset, projection="M?", region=subset_region, frame="a") fig.colorbar(frame=["a2000f1000", "x+lElevation", "y+lm"]) fig.show()
Total running time of the script: ( 0 minutes 2.553 seconds)