STY: Spaces in wrong place

pandas/tests/arrays/categorical/test_api.py

@@ -87,8 +87,8 @@ def test_rename_categories(self):
     def test_rename_categories_wrong_length_raises(self, new_categories):
         cat = Categorical(["a", "b", "c", "a"])
         msg = (
-            "new categories need to have the same number of items as the"
-            " old categories!"
+            "new categories need to have the same number of items as the "
+            "old categories!"
         )
         with pytest.raises(ValueError, match=msg):
             cat.rename_categories(new_categories)

pandas/tests/arrays/categorical/test_indexing.py

@@ -157,8 +157,8 @@ def test_categories_assigments(self):
     def test_categories_assigments_wrong_length_raises(self, new_categories):
         cat = Categorical(["a", "b", "c", "a"])
         msg = (
-            "new categories need to have the same number of items"
-            " as the old categories!"
+            "new categories need to have the same number of items "
+            "as the old categories!"
         )
         with pytest.raises(ValueError, match=msg):
             cat.categories = new_categories

pandas/tests/arrays/categorical/test_operators.py

@@ -172,8 +172,8 @@ def test_comparison_with_unknown_scalars(self):
         cat = Categorical([1, 2, 3], ordered=True)
 
         msg = (
-            "Cannot compare a Categorical for op __{}__ with a scalar,"
-            " which is not a category"
+            "Cannot compare a Categorical for op __{}__ with a scalar, "
+            "which is not a category"
         )
         with pytest.raises(TypeError, match=msg.format("lt")):
             cat < 4

pandas/tests/frame/methods/test_quantile.py

@@ -103,8 +103,8 @@ def test_quantile_axis_parameter(self):
         with pytest.raises(ValueError, match=msg):
             df.quantile(0.1, axis=-1)
         msg = (
-            "No axis named column for object type"
-            " <class 'pandas.core.frame.DataFrame'>"
+            "No axis named column for object type "
+            "<class 'pandas.core.frame.DataFrame'>"
         )
         with pytest.raises(ValueError, match=msg):
             df.quantile(0.1, axis="column")

pandas/tests/io/formats/test_format.py

@@ -2659,14 +2659,14 @@ def test_format_explicit(self):
             assert exp == res
             res = repr(test_sers["asc"])
             exp = (
-                "0         a\n1        ab\n      ...  \n4     abcde\n5"
-                "    abcdef\ndtype: object"
+                "0         a\n1        ab\n      ...  \n4     abcde\n5    "
+                "abcdef\ndtype: object"
             )
             assert exp == res
             res = repr(test_sers["desc"])
             exp = (
-                "5    abcdef\n4     abcde\n      ...  \n1        ab\n0"
-                "         a\ndtype: object"
+                "5    abcdef\n4     abcde\n      ...  \n1        ab\n0         "
+                "a\ndtype: object"
             )
             assert exp == res
 

pandas/tests/io/formats/test_style.py

@@ -530,20 +530,17 @@ def test_bar_align_left_0points(self):
             (1, 0): [
                 "width: 10em",
                 " height: 80%",
-                "background: linear-gradient(90deg,#d65f5f 50.0%,"
-                " transparent 50.0%)",
+                "background: linear-gradient(90deg,#d65f5f 50.0%, transparent 50.0%)",
             ],
             (1, 1): [
                 "width: 10em",
                 " height: 80%",
-                "background: linear-gradient(90deg,#d65f5f 50.0%,"
-                " transparent 50.0%)",
+                "background: linear-gradient(90deg,#d65f5f 50.0%, transparent 50.0%)",
             ],
             (1, 2): [
                 "width: 10em",
                 " height: 80%",
-                "background: linear-gradient(90deg,#d65f5f 50.0%,"
-                " transparent 50.0%)",
+                "background: linear-gradient(90deg,#d65f5f 50.0%, transparent 50.0%)",
             ],
             (2, 0): [
                 "width: 10em",
@@ -572,8 +569,7 @@ def test_bar_align_left_0points(self):
             (0, 1): [
                 "width: 10em",
                 " height: 80%",
-                "background: linear-gradient(90deg,#d65f5f 50.0%,"
-                " transparent 50.0%)",
+                "background: linear-gradient(90deg,#d65f5f 50.0%, transparent 50.0%)",
             ],
             (0, 2): [
                 "width: 10em",

pandas/tests/io/formats/test_to_html.py

@@ -12,13 +12,13 @@
 import pandas.io.formats.format as fmt
 
 lorem_ipsum = (
-    "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod"
-    " tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim"
-    " veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex"
-    " ea commodo consequat. Duis aute irure dolor in reprehenderit in"
-    " voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur"
-    " sint occaecat cupidatat non proident, sunt in culpa qui officia"
-    " deserunt mollit anim id est laborum."
+    "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod "
+    "tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim "
+    "veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex "
+    "ea commodo consequat. Duis aute irure dolor in reprehenderit in "
+    "voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur "
+    "sint occaecat cupidatat non proident, sunt in culpa qui officia "
+    "deserunt mollit anim id est laborum."
 )
 
 

pandas/tests/io/test_stata.py

@@ -1296,8 +1296,8 @@ def test_write_variable_label_errors(self):
         }
 
         msg = (
-            "Variable labels must contain only characters that can be"
-            " encoded in Latin-1"
+            "Variable labels must contain only characters that can be "
+            "encoded in Latin-1"
         )
         with pytest.raises(ValueError, match=msg):
             with tm.ensure_clean() as path:
@@ -1467,8 +1467,8 @@ def test_out_of_range_float(self):
 
         original.loc[2, "ColumnTooBig"] = np.inf
         msg = (
-            "Column ColumnTooBig has a maximum value of infinity which"
-            " is outside the range supported by Stata"
+            "Column ColumnTooBig has a maximum value of infinity which "
+            "is outside the range supported by Stata"
         )
         with pytest.raises(ValueError, match=msg):
             with tm.ensure_clean() as path:

pandas/tests/series/indexing/test_boolean.py

@@ -285,8 +285,8 @@ def test_where_error():
     with pytest.raises(ValueError, match=msg):
         s[[True, False]] = [0, 2, 3]
     msg = (
-        "NumPy boolean array indexing assignment cannot assign 0 input"
-        " values to the 1 output values where the mask is true"
+        "NumPy boolean array indexing assignment cannot assign 0 input "
+        "values to the 1 output values where the mask is true"
     )
     with pytest.raises(ValueError, match=msg):
         s[[True, False]] = []

pandas/tests/series/indexing/test_indexing.py

@@ -294,8 +294,8 @@ def test_getitem_dataframe():
     s = pd.Series(10, index=rng)
     df = pd.DataFrame(rng, index=rng)
     msg = (
-        "Indexing a Series with DataFrame is not supported,"
-        " use the appropriate DataFrame column"
+        "Indexing a Series with DataFrame is not supported, "
+        "use the appropriate DataFrame column"
     )
     with pytest.raises(TypeError, match=msg):
         s[df > 5]

pandas/tests/series/methods/test_rank.py

@@ -203,8 +203,7 @@ def test_rank_signature(self):
         s = Series([0, 1])
         s.rank(method="average")
         msg = (
-            "No axis named average for object type"
-            " <class 'pandas.core.series.Series'>"
+            "No axis named average for object type <class 'pandas.core.series.Series'>"
         )
         with pytest.raises(ValueError, match=msg):
             s.rank("average")

pandas/tests/series/methods/test_sort_values.py

@@ -77,8 +77,8 @@ def test_sort_values(self, datetime_series):
         s = df.iloc[:, 0]
 
         msg = (
-            "This Series is a view of some other array, to sort in-place"
-            " you must create a copy"
+            "This Series is a view of some other array, to sort in-place "
+            "you must create a copy"
         )
         with pytest.raises(ValueError, match=msg):
             s.sort_values(inplace=True)

pandas/tests/series/test_alter_axes.py

@@ -19,8 +19,8 @@ def test_setindex(self, string_series):
 
         # wrong length
         msg = (
-            "Length mismatch: Expected axis has 30 elements, new"
-            " values have 29 elements"
+            "Length mismatch: Expected axis has 30 elements, "
+            "new values have 29 elements"
         )
         with pytest.raises(ValueError, match=msg):
             string_series.index = np.arange(len(string_series) - 1)

pandas/tests/series/test_missing.py

@@ -1180,8 +1180,8 @@ def test_interpolate_index_values(self):
     def test_interpolate_non_ts(self):
         s = Series([1, 3, np.nan, np.nan, np.nan, 11])
         msg = (
-            "time-weighted interpolation only works on Series or DataFrames"
-            " with a DatetimeIndex"
+            "time-weighted interpolation only works on Series or DataFrames "
+            "with a DatetimeIndex"
         )
         with pytest.raises(ValueError, match=msg):
             s.interpolate(method="time")

pandas/tests/series/test_timeseries.py

@@ -501,10 +501,7 @@ def test_between_time_raises(self):
     def test_between_time_types(self):
         # GH11818
         rng = date_range("1/1/2000", "1/5/2000", freq="5min")
-        msg = (
-            r"Cannot convert arg \[datetime\.datetime\(2010, 1, 2, 1, 0\)\]"
-            " to a time"
-        )
+        msg = r"Cannot convert arg \[datetime\.datetime\(2010, 1, 2, 1, 0\)\] to a time"
         with pytest.raises(ValueError, match=msg):
             rng.indexer_between_time(datetime(2010, 1, 2, 1), datetime(2010, 1, 2, 5))