Note
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Sampling along tracks
The pygmt.grdtrack
function samples a raster grid’s value along
specified points. We will need to input a 2-D raster to grid
which can be
an xarray.DataArray
. The argument passed to the points
parameter
can be a pandas.DataFrame
table where the first two columns are
x and y (or longitude and latitude). Note also that there is a newcolname
parameter that will be used to name the new column of values sampled from the
grid.
Alternatively, a netCDF file path can be passed to grid
. An ASCII file path
can also be accepted for points
. To save an output ASCII file, a file name
argument needs to be passed to the outfile
parameter.
![track sampling](../../_images/sphx_glr_track_sampling_001.png)
import pygmt
# Load sample grid and point datasets
grid = pygmt.datasets.load_earth_relief()
points = pygmt.datasets.load_sample_data(name="ocean_ridge_points")
# Sample the bathymetry along the world's ocean ridges at specified track
# points
track = pygmt.grdtrack(points=points, grid=grid, newcolname="bathymetry")
fig = pygmt.Figure()
# Plot the earth relief grid on Cylindrical Stereographic projection, masking
# land areas
fig.basemap(region="g", projection="Cyl_stere/150/-20/15c", frame=True)
fig.grdimage(grid=grid, cmap="gray")
fig.coast(land="#666666")
# Plot the sampled bathymetry points using circles (c) of 0.15 cm size
# Points are colored using elevation values (normalized for visual purposes)
fig.plot(
x=track.longitude,
y=track.latitude,
style="c0.15c",
cmap="terra",
fill=(track.bathymetry - track.bathymetry.mean()) / track.bathymetry.std(),
)
fig.show()
Total running time of the script: (0 minutes 0.383 seconds)