Remove "united" as meaning "having units"

src/metpy/testing.py

@@ -130,7 +130,7 @@ def check_and_drop_units(actual, desired):
                 actual = units.Quantity(actual, 'dimensionless')
             actual = actual.to(desired.units)
         # Otherwise, the desired result has no units. Convert the actual result to
-        # dimensionless units if it is a united quantity.
+        # dimensionless units if it is a quantity.
         else:
             if hasattr(actual, 'units'):
                 actual = actual.to('dimensionless')

src/metpy/units.py

@@ -72,7 +72,7 @@
 
 
 def pandas_dataframe_to_unit_arrays(df, column_units=None):
-    """Attach units to data in pandas dataframes and return united arrays.
+    """Attach units to data in pandas dataframes and return quantities.
 
     Parameters
     ----------
@@ -85,7 +85,7 @@ def pandas_dataframe_to_unit_arrays(df, column_units=None):
 
     Returns
     -------
-        Dictionary containing united arrays with keys corresponding to the dataframe
+        Dictionary containing `Quantity` instances with keys corresponding to the dataframe
         column names.
 
     """
@@ -107,7 +107,7 @@ def pandas_dataframe_to_unit_arrays(df, column_units=None):
 
 
 def concatenate(arrs, axis=0):
-    r"""Concatenate multiple values into a new unitized object.
+    r"""Concatenate multiple values into a new quantity.
 
     This is essentially a scalar-/masked array-aware version of `numpy.concatenate`. All items
     must be able to be converted to the same units. If an item has no units, it will be given

tests/plots/test_skewt.py

@@ -298,7 +298,7 @@ def test_hodograph_api():
 
 @pytest.mark.mpl_image_compare(remove_text=True, tolerance=0.6 if MPL_VERSION == '3.3' else 0.)
 def test_hodograph_units():
-    """Test passing unit-ed quantities to Hodograph."""
+    """Test passing quantities to Hodograph."""
     fig = plt.figure(figsize=(9, 9))
     ax = fig.add_subplot(1, 1, 1)
     hodo = Hodograph(ax)
@@ -402,7 +402,7 @@ def test_skewt_barb_no_default_unit_conversion():
 @pytest.mark.parametrize('u,v', [(np.array([3]) * units('m/s'), np.array([3])),
                                  (np.array([3]), np.array([3]) * units('m/s'))])
 def test_skewt_barb_unit_conversion_exception(u, v):
-    """Test that errors are raise if unit conversion is requested on un-united data."""
+    """Test that an error is raised if unit conversion is requested on plain arrays."""
     p_wind = np.array([500]) * units.hPa
 
     fig = plt.figure(figsize=(9, 9))
@@ -496,8 +496,8 @@ def test_hodograph_wind_vectors():
     return fig
 
 
-def test_united_hodograph_range():
-    """Tests making a hodograph with a united ranged."""
+def test_hodograph_range_with_units():
+    """Tests making a hodograph with a range with units."""
     fig = plt.figure(figsize=(6, 6))
     ax = fig.add_subplot(1, 1, 1)
     Hodograph(ax, component_range=60. * units.knots)

tests/plots/test_station_plot.py

@@ -400,7 +400,7 @@ def test_barb_no_default_unit_conversion():
 @pytest.mark.parametrize('u,v', [(np.array([3]) * units('m/s'), np.array([3])),
                                  (np.array([3]), np.array([3]) * units('m/s'))])
 def test_barb_unit_conversion_exception(u, v):
-    """Test that errors are raise if unit conversion is requested on un-united data."""
+    """Test that an error is raised if unit conversion is requested on plain arrays."""
     x_pos = np.array([0])
     y_pos = np.array([0])
 
@@ -451,7 +451,7 @@ def test_stationplot_unit_conversion():
 
 
 def test_scalar_unit_conversion_exception():
-    """Test that errors are raise if unit conversion is requested on un-united data."""
+    """Test that an error is raised if unit conversion is requested on plain arrays."""
     x_pos = np.array([0])
     y_pos = np.array([0])
 

tests/units/test_units.py

@@ -138,7 +138,7 @@ def test_pandas_units_on_dataframe():
 
 
 @pytest.mark.filterwarnings("ignore:Pandas doesn't allow columns to be created")
-def test_pandas_units_on_dataframe_not_all_united():
+def test_pandas_units_on_dataframe_not_all_with_units():
     """Unit attachment with units attribute with a column with no units."""
     df = pd.DataFrame(data=[[1, 4], [2, 5], [3, 6]], columns=['cola', 'colb'])
     df.units = {'cola': 'kilometers'}