Note
Click here to download the full example code
Colorbar¶
The 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 https://docs.generic-mapping-tools.org/latest/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 https://docs.generic-mapping-tools.org/latest/colorbar.html.
Out:
<IPython.core.display.Image object>
import pygmt
fig = pygmt.Figure()
fig.basemap(region=[0, 3, 6, 9], projection="t0/3c", frame=True)
# Create a colorbar suitable for surface topography- oleron
fig.colorbar(
cmap="oleron",
position="jTC+w6c/1c+h", # justified inside map frame (j) at Top Center (TC)
box=True,
frame=["+Loleron", "xaf", "y+lm"],
scale=10,
)
# 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
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"],
scale=10,
)
fig.show()
Total running time of the script: ( 0 minutes 0.555 seconds)