Intros / Tutorials / Gallery: Include folder in colormap name (#4311)

Author: yvonnefroehlich

doc/contributing.md

@@ -689,7 +689,7 @@ def test_my_plotting_case():
     Test that my plotting method works.
     """
     fig_ref, fig_test = Figure(), Figure()
-    fig_ref.grdimage("@earth_relief_01d_g", projection="W120/15c", cmap="geo")
-    fig_test.grdimage(grid, projection="W120/15c", cmap="geo")
+    fig_ref.grdimage("@earth_relief_01d_g", projection="W120/15c", cmap="gmt/geo")
+    fig_test.grdimage(grid, projection="W120/15c", cmap="gmt/geo")
     return fig_ref, fig_test
 ```

doc/techref/justification_codes.md

@@ -105,7 +105,7 @@ Script showing justification codes for plot embellishments, e.g., a colorbar.
 fig = pygmt.Figure()
 fig.basemap(projection="X10c/2c", region=[-size, size, -size, size], frame=0)
 
-fig.colorbar(cmap="buda", frame=0, position="jMC+w10c/2c+h")
+fig.colorbar(cmap="SCM/buda", frame=0, position="jMC+w10c/2c+h")
 
 for code in codes:
     fig.text(

examples/gallery/3d_plots/grdview_surface.py

@@ -52,7 +52,7 @@ def ackley(x, y):
     projection=f"x{SCALE}c",
     zscale=f"{SCALE}c",
     surftype="s",
-    cmap="roma",
+    cmap="SCM/roma",
     perspective=[135, 30],  # Azimuth southeast (135°), at elevation 30°
     shading="+a45",
 )

examples/gallery/3d_plots/scatter3d.py

@@ -54,7 +54,7 @@
 # palette "cubhelix" in categorical format and add the species names as
 # annotations for the colorbar
 pygmt.makecpt(
-    cmap="cubhelix",
+    cmap="cpt-city/cubhelix",
     # Use the minimum and maximum of the categorical number code
     # to set the lowest_value and the highest_value of the CPT
     series=(df.species.cat.codes.min(), df.species.cat.codes.max(), 1),

examples/gallery/basemaps/ternary.py

@@ -22,7 +22,7 @@
 
 # Define a colormap to be used for the values given in the fourth column
 # of the input dataset
-pygmt.makecpt(cmap="batlow", series=[0, 80, 10])
+pygmt.makecpt(cmap="SCM/batlow", series=[0, 80, 10])
 
 fig.ternary(
     data,

examples/gallery/embellishments/colorbar.py

@@ -35,12 +35,12 @@
 # Colorbar is placed at Bottom Center (BC) by default if no position is given
 # Add quantity and unit as labels ("+l") to the x and y axes
 # Add annotations ("+a") in steps of 0.5 and ticks ("+f") in steps of 0.1
-fig.colorbar(cmap="roma", frame=["xa0.5f0.1+lVelocity", "y+lm/s"])
+fig.colorbar(cmap="SCM/roma", frame=["xa0.5f0.1+lVelocity", "y+lm/s"])
 
 # ============
 # Create a colorbar showing the scientific rainbow - batlow
 fig.colorbar(
-    cmap="batlow",
+    cmap="SCM/batlow",
     # Colorbar positioned at map coordinates (g) longitude/latitude 0.3/8.7,
     # with a length/width (+w) of 4 cm by 0.5 cm, and plotted horizontally (+h)
     position="g0.3/8.7+w4c/0.5c+h",
@@ -52,7 +52,7 @@
 # ============
 # Create a colorbar suitable for surface topography - oleron
 fig.colorbar(
-    cmap="oleron",
+    cmap="SCM/oleron",
     # Colorbar placed outside the plot bounding box (J) at Middle Right (MR),
     # offset (+o) by 1 cm horizontally and 0 cm vertically from anchor point,
     # with a length/width (+w) of 7 cm by 0.5 cm and a box for NaN values (+n)
@@ -68,7 +68,7 @@
 # Create a colorbar suitable for categorical data - hawaii
 # Set up the colormap
 pygmt.makecpt(
-    cmap="hawaii",
+    cmap="SCM/hawaii",
     series=[0, 3, 1],
     # Comma-separated string for the annotations of the colorbar
     color_model="+cA,B,C,D",

examples/gallery/embellishments/colorbars_multiple.py

@@ -28,15 +28,15 @@
     # Activate the first panel so that the colormap created by the makecpt
     # function is a panel-level CPT
     with fig.set_panel(panel=0):
-        pygmt.makecpt(cmap="geo", series=[-8000, 8000])
+        pygmt.makecpt(cmap="gmt/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
     # function is a panel-level CPT
     with fig.set_panel(panel=1):
-        pygmt.makecpt(cmap="globe", series=[-6000, 3000])
+        pygmt.makecpt(cmap="gmt/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")

examples/gallery/histograms/blockm.py

@@ -33,7 +33,7 @@
     grid=grd,
     region=region,
     frame=["af", "+tMean earthquake depth inside each block"],
-    cmap="batlow",
+    cmap="SCM/batlow",
 )
 # Plot slightly transparent landmasses on top
 fig.coast(land="darkgray", transparency=40)
@@ -52,7 +52,7 @@
     grid=grd,
     region=region,
     frame=["af", "+tNumber of points inside each block"],
-    cmap="batlow",
+    cmap="SCM/batlow",
 )
 fig.coast(land="darkgray", transparency=40)
 fig.plot(x=data.longitude, y=data.latitude, style="c0.3c", fill="white", pen="1p,black")

examples/gallery/images/cross_section.py

@@ -37,7 +37,7 @@
 grid_map = pygmt.datasets.load_earth_relief(resolution="10m", region=region_map)
 
 # Plot the downloaded grid with color-coding based on the elevation
-fig.grdimage(grid=grid_map, cmap="oleron")
+fig.grdimage(grid=grid_map, cmap="SCM/oleron")
 
 # Add a colorbar for the elevation
 fig.colorbar(

examples/gallery/images/grdclip.py

@@ -25,7 +25,7 @@
     projection="M12c",
     frame=["WSne+toriginal grid", "xa5f1", "ya2f1"],
 )
-fig.grdimage(grid=grid, cmap="oleron")
+fig.grdimage(grid=grid, cmap="SCM/oleron")
 
 # Shift plot origin of the second map by "width of the first map + 0.5 cm"
 # in x-direction