Note
Click here to download the full example code
Clipping grid values¶
The pygmt.grdclip
method allows to clip defined ranges of grid values.
In the example shown below we set all elevation values (grid points) smaller
than 0 m (in general the bathymetric part of the grid) to a common value of
-2000 m via the below
parameter.
Out:
grdblend [NOTICE]: Remote data courtesy of GMT data server oceania [http://oceania.generic-mapping-tools.org]
grdblend [NOTICE]: Earth Relief at 3x3 arc minutes from Gaussian Cartesian filtering (5.6 km fullwidth) of SRTM15+V2.1 [Tozer et al., 2019].
grdblend [NOTICE]: -> Download 90x90 degree grid tile (earth_relief_03m_p): N00W090
<IPython.core.display.Image object>
import pygmt
fig = pygmt.Figure()
# Define region of interest around Iceland
region = [-28, -10, 62, 68]
# Load sample grid (3 arc minute global relief) in target area
grid = pygmt.datasets.load_earth_relief(resolution="03m", region=region)
# Plot original grid
fig.basemap(region=region, projection="M12c", frame=["f", '+t"original grid"'])
fig.grdimage(grid=grid, cmap="oleron")
# Shift plot origin of the second map by "width of the first map + 0.5 cm"
# in x direction
fig.shift_origin(xshift="w+0.5c")
# Set all grid points < 0 m to a value of -2000 m.
grid = pygmt.grdclip(grid, below=[0, -2000])
# Plot clipped grid
fig.basemap(region=region, projection="M12c", frame=["f", '+t"clipped grid"'])
fig.grdimage(grid=grid)
fig.colorbar(frame=["x+lElevation", "y+lm"], position="JMR+o0.5c/0c+w8c")
fig.show()
Total running time of the script: ( 0 minutes 5.935 seconds)