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 optionally set the
placement via the position
argument. The full list of color palette 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 map frame 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="x3c", frame=["af", 'WSne+t"Colorbars"'])
## 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=["x+lVelocity", "y+lm/s"])
## Create a colorbar showing the scientific rainbow - batlow
fig.colorbar(
cmap="batlow",
# Colorbar positioned at map coordinates (g) longitude/latitude 0.3/8.7,
# 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=["x+lTemperature", r"y+l\260C"],
scale=100,
)
## Create a colorbar suitable for surface topography - oleron
fig.colorbar(
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",
# Note that the label 'Elevation' is moved to the opposite side and plotted
# vertically as a column of text using '+mc' in the position argument above
frame=["x+lElevation", "y+lm"],
scale=10,
)
fig.show()
Total running time of the script: ( 0 minutes 0.534 seconds)