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DOC: Correct "the the" typos #686

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merged 1 commit into from Dec 13, 2017
Merged

DOC: Correct "the the" typos #686

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2 changes: 1 addition & 1 deletion examples/gridding/Natural_Neighbor_Verification.py
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Expand Up @@ -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)

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4 changes: 2 additions & 2 deletions metpy/calc/thermo.py
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Expand Up @@ -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
Expand Down Expand Up @@ -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
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2 changes: 1 addition & 1 deletion metpy/calc/turbulence.py
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Expand Up @@ -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}}
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2 changes: 1 addition & 1 deletion metpy/io/tests/test_gini.py
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Expand Up @@ -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)
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