Merge pull request #686 from akrherz/thethe

DOC: Correct "the the" typos
Unidata · Dec 13, 2017 · 69a54aa · 69a54aa
2 parents 00e084e + b4fd4f3
commit 69a54aa
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Showing 4 changed files with 5 additions and 5 deletions.
diff --git a/examples/gridding/Natural_Neighbor_Verification.py b/examples/gridding/Natural_Neighbor_Verification.py
@@ -157,7 +157,7 @@ def draw_circle(x, y, r, m, label):
 # which serves as a complementary (but not necessary)
 # spatial data structure that we use here simply to show areal ratios.
 # Notice that the two natural neighbor triangle circumcenters are also vertices
-# in the Voronoi plot (green dots), and the observations are in the the polygons (blue dots).
+# in the Voronoi plot (green dots), and the observations are in the polygons (blue dots).
 vor = Voronoi(list(zip(xp, yp)))
 voronoi_plot_2d(vor)
 

diff --git a/metpy/calc/thermo.py b/metpy/calc/thermo.py
@@ -40,7 +40,7 @@ def potential_temperature(pressure, temperature):
     Returns
     -------
     `pint.Quantity`
-        The potential temperature corresponding to the the temperature and
+        The potential temperature corresponding to the temperature and
         pressure.
 
     See Also
@@ -114,7 +114,7 @@ def moist_lapse(pressure, temperature):
     Returns
     -------
     `pint.Quantity`
-       The temperature corresponding to the the starting temperature and
+       The temperature corresponding to the starting temperature and
        pressure levels.
 
     See Also

diff --git a/metpy/calc/turbulence.py b/metpy/calc/turbulence.py
@@ -157,7 +157,7 @@ def kinematic_flux(vel, b, perturbation=False, axis=-1):
 
     .. math:: \overline{u^{\prime} w^{\prime}}
 
-    or the the vertical kinematic heat flux (one velocity component, and one
+    or the vertical kinematic heat flux (one velocity component, and one
     scalar):
 
     .. math:: \overline{w^{\prime} T^{\prime}}

diff --git a/metpy/io/tests/test_gini.py b/metpy/io/tests/test_gini.py
@@ -104,7 +104,7 @@ def test_gini_dataset(filename, bounds, data_var, proj_attrs):
     assert_almost_equal(x[-1], x1, 4)
 
     # Because the actual data raster has the top row first, the maximum y value is y[0],
-    # while the the minimum y value is y[-1]
+    # while the minimum y value is y[-1]
     y = ds.variables['y']
     assert_almost_equal(y[-1], y0, 4)
     assert_almost_equal(y[0], y1, 4)