Add Mars dataset (GenericMappingTools#1420)

Sample data table for the shape of Mars. This is the
`@mars370d.txt` dataset used in GMT examples, with data
and information from Smith, D. E., and M. T. Zuber (1996).
The shape of Mars and the topographic signature of the
hemispheric dichotomy. Data columns are "longitude",
"latitude", and "radius (meters)."

Co-authored-by: Wei Ji <[email protected]>

doc/api/index.rst

@@ -167,12 +167,13 @@ and store them in the GMT cache folder.
     :toctree: generated
 
     datasets.load_earth_relief
+    datasets.load_fractures_compilation
+    datasets.load_hotspots
     datasets.load_japan_quakes
+    datasets.load_mars_shape
     datasets.load_ocean_ridge_points
     datasets.load_sample_bathymetry
     datasets.load_usgs_quakes
-    datasets.load_fractures_compilation
-    datasets.load_hotspots
 
 .. automodule:: pygmt.exceptions
 

pygmt/datasets/__init__.py

@@ -7,6 +7,7 @@
     load_fractures_compilation,
     load_hotspots,
     load_japan_quakes,
+    load_mars_shape,
     load_ocean_ridge_points,
     load_sample_bathymetry,
     load_usgs_quakes,

pygmt/datasets/samples.py

@@ -149,3 +149,28 @@ def load_hotspots():
     columns = ["longitude", "latitude", "symbol_size", "place_name"]
     data = pd.read_table(filepath_or_buffer=fname, sep="\t", skiprows=3, names=columns)
     return data
+
+
+def load_mars_shape():
+    """
+    Load a table of data for the shape of Mars.
+
+    This is the ``@mars370d.txt`` dataset used in GMT examples, with data and
+    information from Smith, D. E., and M. T. Zuber (1996), The shape of Mars
+    and the topographic signature of the hemispheric dichotomy. Data columns
+    are "longitude," "latitude", and "radius (meters)."
+
+    The data are downloaded to a cache directory (usually ``~/.gmt/cache``) the
+    first time you invoke this function. Afterwards, it will load the data from
+    the cache. So you'll need an internet connection the first time around.
+
+    Returns
+    -------
+    data : pandas.DataFrame
+        The data table with columns "longitude", "latitude", and "radius(m)".
+    """
+    fname = which("@mars370d.txt", download="c")
+    data = pd.read_csv(
+        fname, sep="\t", header=None, names=["longitude", "latitude", "radius(m)"]
+    )
+    return data

pygmt/tests/test_datasets_samples.py

@@ -6,6 +6,7 @@
     load_fractures_compilation,
     load_hotspots,
     load_japan_quakes,
+    load_mars_shape,
     load_ocean_ridge_points,
     load_sample_bathymetry,
     load_usgs_quakes,
@@ -76,6 +77,21 @@ def test_fractures_compilation():
     assert summary.loc["max", "azimuth"] == 360.0
 
 
+def test_mars_shape():
+    """
+    Check that the @mars370d.txt dataset loads without errors.
+    """
+    data = load_mars_shape()
+    assert data.shape == (370, 3)
+    summary = data.describe()
+    assert summary.loc["min", "longitude"] == 0.008
+    assert summary.loc["max", "longitude"] == 359.983
+    assert summary.loc["min", "latitude"] == -79.715
+    assert summary.loc["max", "latitude"] == 85.887
+    assert summary.loc["min", "radius(m)"] == -6930
+    assert summary.loc["max", "radius(m)"] == 15001
+
+
 def test_hotspots():
     """
     Check that the @hotspots.txt dataset loads without errors.