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Add a gallery example showing different colormaps in subplots (#1394)
Co-authored-by: Will Schlitzer <[email protected]> Co-authored-by: Michael Grund <[email protected]> Co-authored-by: Wei Ji <[email protected]>
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"""
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Multiple colormaps
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------------------
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This gallery example shows how to create multiple colormaps for different subplots. To
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better understand how GMT modern mode maintains several levels of colormaps,
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please refer to :gmt-docs:`cookbook/features.html#gmt-modern-mode-hierarchical-levels`
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for details.
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"""
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import pygmt
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fig = pygmt.Figure()
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# Load Earth relief data for the entire globe and a subset region
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grid_globe = pygmt.datasets.load_earth_relief(resolution="01d")
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subset_region = [-14, 30, 35, 60]
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grid_subset = pygmt.datasets.load_earth_relief(resolution="10m", region=subset_region)
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# Define a 1-row, 2-column subplot layout. The overall figure dimensions is set
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# to be 15 cm wide and 8 cm high. Each subplot is automatically labelled.
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# The space between the subplots is set to be 0.5 cm.
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with fig.subplot(
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nrows=1, ncols=2, figsize=("15c", "8c"), autolabel=True, margins="0.5c"
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):
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# Activate the first panel so that the colormap created by the makecpt
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# method is a panel-level CPT
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with fig.set_panel(panel=0):
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pygmt.makecpt(cmap="geo", series=[-8000, 8000])
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# "R?" means Winkel Tripel projection with map width automatically
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# determined from the subplot width.
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fig.grdimage(grid=grid_globe, projection="R?", region="g", frame=True)
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fig.colorbar(frame=["a4000f2000", "x+lElevation", "y+lm"])
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# Activate the second panel so that the colormap created by the makecpt
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# method is a panel-level CPT
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with fig.set_panel(panel=1):
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pygmt.makecpt(cmap="globe", series=[-6000, 3000])
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# "M?" means Mercator projection with map width also automatically
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# determined from the subplot width.
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fig.grdimage(
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grid=grid_subset, projection="M?", region=subset_region, frame=True
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)
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fig.colorbar(frame=["a2000f1000", "x+lElevation", "y+lm"])
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fig.show()

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