Remove warnings and improve colorbar gallery example

examples/gallery/plot/colorbar.py

@@ -2,51 +2,59 @@
 Colorbar
 --------
 
-The :meth:`pygmt.Figure.colorbar` method creates a color scalebar. We must specify the
-colormap via the ``cmap`` argument, and set the placement via the ``position`` argument.
-The full list of color paletted tables can be found at :gmt-docs:`cookbook/cpts.html`.
-You can set the `position` of the colorbar using the following options:
-
-- j/J: justified inside/outside the mapframe using any 2 character combination of
-  vertical (**T** op, **M** iddle, **B** ottom) and horizontal (**L** eft, **C** enter,
-  **R** ight) alignment codes, e.g. `position="jTR"` for top right.
-- g: using map coordinates, e.g. `position="g170/-45"` for longitude 170E, latitude 45S.
-- x: using paper coordinates, e.g. `position="x5c/7c"` for 5cm,7cm from anchor point.
+The :meth:`pygmt.Figure.colorbar` method creates a color scalebar. We must
+specify the colormap via the ``cmap`` argument, and set the placement via the
+``position`` argument. The full list of color palette tables can be found at
+:gmt-docs:`cookbook/cpts.html`. You can set the `position` of the colorbar
+using the following options:
+
+- j/J: justified inside/outside the mapframe using any 2 character combination
+  of vertical (**T** op, **M** iddle, **B** ottom) and horizontal (**L** eft,
+  **C** enter, **R** ight) alignment codes, e.g. `position="jTR"` for top
+  right.
+- g: using map coordinates, e.g. `position="g170/-45"` for longitude 170E,
+  latitude 45S.
+- x: using paper coordinates, e.g. `position="x5c/7c"` for 5cm,7cm from anchor
+  point.
 - n: using normalized (0-1) coordinates, e.g. `position="n0.4/0.8"`.
 
-Note that the anchor point defaults to the bottom left (BL). Append +h to ``position``
-to get a horizontal colorbar instead of a vertical one. For more advanced styling
-options, see the full option list at :gmt-docs:`colorbar.html`.
+Note that the anchor point defaults to the bottom left (BL). Append +h to
+``position`` to get a horizontal colorbar instead of a vertical one. For more
+advanced styling options, see the full option list at
+:gmt-docs:`colorbar.html`.
 """
 import pygmt
 
 fig = pygmt.Figure()
-fig.basemap(region=[0, 3, 6, 9], projection="t0/3c", frame=True)
+fig.basemap(region=[0, 3, 6, 9], projection="x3c", frame=["af", 'WSne+t"Colorbars"'])
 
-# Create a colorbar suitable for surface topography- oleron
+## Create a colorbar designed for seismic tomography- roma
+# Colorbar is placed at bottom center (BC) by default if no position is given
+fig.colorbar(cmap="roma", frame=["+Lvelocity", "y+lm/s"])
 
+## Create a colorbar showing the scientific rainbow - batlow
 fig.colorbar(
-    cmap="oleron",
-    position="jTC+w6c/1c+h",  # justified inside map frame (j) at Top Center (TC)
+    cmap="batlow",
+    # Colorbar positioned at map coordinates (g) longitude/latitude 0.2/8.7,
+    # with a length/width (+w) of 4cm by 0.5cm, and plotted horizontally (+h)
+    position="g0.3/8.7+w4c/0.5c+h",
     box=True,
-    frame=["+Loleron", "xaf", "y+lm"],
-    scale=10,
+    frame=["+Ltemperature", r"y+l\260C"],
+    scale=100,
 )
-# Create a colorbar designed for seismic tomography- roma
-fig.colorbar(
-    cmap="roma",
-    position="x1.2c/4.75c+w6c/1c+h",  # plot using paper coordinates (x) at 1.2cm,4.75cm
-    box=True,
-    frame=["+Lroma", "xaf", "y+lm/s"],
-    scale=10,
-)
-# Create a colorbar showing the scientific rainbow - batlow
+
+## Create a colorbar suitable for surface topography- oleron
 fig.colorbar(
-    cmap="batlow",
-    position="g0.45/6.6+w6c/1c+h",  # plot using map coordinates (g) at lon/lat 0.45/6.6
-    box=True,
-    frame=["+Lbatlow", "xaf", r"y+l\260C"],
+    cmap="oleron",
+    # Colorbar position justified outside map frame (J) at Middle Right (MR),
+    # offset (+o) by 1cm horizontally and 0cm vertically from anchor point,
+    # with a length/width (+w) of 7cm by 0.5cm and a box for NaN values (+n)
+    position="JMR+o1c/0c+w7c/0.5c+n+mc",
+    # The label (+L) 'Elevation' is moved to opposite side and plotted
+    # vertically as a column of text using (+mc) in the position argument above
+    frame=["+LElevation", "y+lm"],
     scale=10,
 )
 
+
 fig.show()