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Revert "Temporarily remove the gallery example for grdgradient"
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"""
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Calculating grid gradient and radiance
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--------------------------------------
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The :meth:`pygmt.grdgradient` method calculates the gradient of a grid file.
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In the example shown below we will see how to calculate a hillshade map based
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on a Data Elevation Model (DEM). As input :meth:`pygmt.grdgradient` gets
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a :class:`xarray.DataArray` object or a path string to a grid file, calculates
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the respective gradient and returns it as an :class:`xarray.DataArray` object.
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We will use the ``radiance`` parameter in order to set the illumination source
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direction and altitude.
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"""
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import pygmt
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# Define region of interest around Yosemite valley
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region = [-119.825, -119.4, 37.6, 37.825]
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# Load sample grid (3 arc second global relief) in target area
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grid = pygmt.datasets.load_earth_relief(resolution="03s", region=region)
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# calculate the reflection of a light source projecting from west to east
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# (azimuth of 270 degrees) and at a latitude of 30 degrees from the horizon
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dgrid = pygmt.grdgradient(grid=grid, radiance=[270, 30])
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fig = pygmt.Figure()
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# define figure configuration
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pygmt.config(FORMAT_GEO_MAP="ddd.x", MAP_FRAME_TYPE="plain")
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# --------------- plotting the original Data Elevation Model -----------
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pygmt.makecpt(cmap="gray", series=[200, 4000, 10])
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fig.grdimage(
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grid=grid,
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projection="M12c",
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frame=['WSrt+t"Original Data Elevation Model"', "xa0.1", "ya0.1"],
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cmap=True,
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)
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fig.colorbar(position="JML+o1.4c/0c+w7c/0.5c", frame=["xa1000f500+lElevation", "y+lm"])
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# --------------- plotting the hillshade map -----------
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# Shift plot origin of the second map by 12.5 cm in x direction
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fig.shift_origin(xshift="12.5c")
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pygmt.makecpt(cmap="gray", series=[-1.5, 0.3, 0.01])
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fig.grdimage(
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grid=dgrid,
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projection="M12c",
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frame=['lSEt+t"Hillshade Map"', "xa0.1", "ya0.1"],
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cmap=True,
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)
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fig.show()

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