Example #1
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def test_xyz2grd_input_df(ship_data):
    """
    Run xyz2grd by passing in a data frame.
    """
    output = xyz2grd(data=ship_data, spacing=5, region=[245, 255, 20, 30])
    assert isinstance(output, xr.DataArray)
    assert output.gmt.registration == 0  # Gridline registration
    assert output.gmt.gtype == 0  # Cartesian type
    return output
Example #2
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def test_xyz2grd_input_file():
    """
    Run xyz2grd by passing in a filename.
    """
    output = xyz2grd(data="@tut_ship.xyz",
                     spacing=5,
                     region=[245, 255, 20, 30])
    assert isinstance(output, xr.DataArray)
    assert output.gmt.registration == 0  # Gridline registration
    assert output.gmt.gtype == 0  # Cartesian type
    return output
Example #3
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def test_xyz2grd_input_array(array_func, ship_data, expected_grid):
    """
    Run xyz2grd by passing in an xarray datset or numpy array.
    """
    output = xyz2grd(data=array_func(ship_data),
                     spacing=5,
                     region=[245, 255, 20, 30])
    assert isinstance(output, xr.DataArray)
    assert output.gmt.registration == 0  # Gridline registration
    assert output.gmt.gtype == 0  # Cartesian type
    xr.testing.assert_allclose(a=output, b=expected_grid)
Example #4
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def test_xyz2grd_input_array_file_out(ship_data):
    """
    Run xyz2grd by passing in a numpy array and set an outgrid file.
    """
    with GMTTempFile(suffix=".nc") as tmpfile:
        result = xyz2grd(
            data=np.array(ship_data),
            spacing=5,
            region=[245, 255, 20, 30],
            outgrid=tmpfile.name,
        )
        assert result is None  # return value is None
        assert os.path.exists(path=tmpfile.name)
        result = grdinfo(tmpfile.name, per_column=True).strip()
        assert result == "245 255 20 30 -3651.06079102 -352.379486084 5 5 3 3 0 0"
Example #5
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def test_xyz2grd_input_array_file_out(ship_data, expected_grid):
    """
    Run xyz2grd by passing in a numpy array and set an outgrid file.
    """
    with GMTTempFile(suffix=".nc") as tmpfile:
        result = xyz2grd(
            data=ship_data,
            spacing=5,
            region=[245, 255, 20, 30],
            outgrid=tmpfile.name,
        )
        assert result is None  # return value is None
        assert os.path.exists(path=tmpfile.name)
        temp_grid = load_dataarray(tmpfile.name)
        xr.testing.assert_allclose(a=temp_grid, b=expected_grid)
Example #6
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def test_xyz2grd_missing_region_spacing(ship_data):
    """
    Test xyz2grd raise an exception if region or spacing is missing.
    """
    with pytest.raises(GMTInvalidInput):
        xyz2grd(data=ship_data)
    with pytest.raises(GMTInvalidInput):
        xyz2grd(data=ship_data, region=[245, 255, 20, 30])
    with pytest.raises(GMTInvalidInput):
        xyz2grd(data=ship_data, spacing=5)
Example #7
0
data = pygmt.datasets.load_japan_quakes()
# Select only needed columns
data = data[["longitude", "latitude", "depth_km"]]

# Set the region for the plot
region = [130, 152.5, 32.5, 52.5]
# Define spacing in x and y direction (150 by 150 minute blocks)
spacing = "150m"

fig = pygmt.Figure()

# Calculate mean depth in km from all events within 150x150 minute
# bins using blockmean
df = pygmt.blockmean(data=data, region=region, spacing=spacing)
# convert to grid
grd = pygmt.xyz2grd(data=df, region=region, spacing=spacing)

fig.grdimage(
    grid=grd,
    region=region,
    frame=["af", '+t"Mean earthquake depth inside each block"'],
    cmap="batlow",
)
# plot slightly transparent landmasses on top
fig.coast(land="darkgray", transparency=40)
# plot original data points
fig.plot(x=data.longitude,
         y=data.latitude,
         style="c0.3c",
         color="white",
         pen="1p,black")