Merge pull request #11539 from sieben/useless_semicolon

Remove useless semicolon

Author: jreback

pandas/io/tests/test_json/test_ujson.py

@@ -1004,7 +1004,7 @@ def testFloatMax(self):
         assert_approx_equal(np.float64(ujson.decode(ujson.encode(num, double_precision=15))), num, 15)
 
     def testArrays(self):
-        arr = np.arange(100);
+        arr = np.arange(100)
 
         arr = arr.reshape((10, 10))
         tm.assert_numpy_array_equal(np.array(ujson.decode(ujson.encode(arr))), arr)
@@ -1018,7 +1018,7 @@ def testArrays(self):
         tm.assert_numpy_array_equal(np.array(ujson.decode(ujson.encode(arr))), arr)
         tm.assert_numpy_array_equal(ujson.decode(ujson.encode(arr), numpy=True), arr)
 
-        arr = np.arange(96);
+        arr = np.arange(96)
         arr = arr.reshape((2, 2, 2, 2, 3, 2))
         tm.assert_numpy_array_equal(np.array(ujson.decode(ujson.encode(arr))), arr)
         tm.assert_numpy_array_equal(ujson.decode(ujson.encode(arr), numpy=True), arr)
@@ -1028,7 +1028,7 @@ def testArrays(self):
         arr = np.array(l)
         tm.assert_numpy_array_equal(np.array(ujson.decode(ujson.encode(arr))), arr)
 
-        arr = np.arange(100.202, 200.202, 1, dtype=np.float32);
+        arr = np.arange(100.202, 200.202, 1, dtype=np.float32)
         arr = arr.reshape((5, 5, 4))
         outp = np.array(ujson.decode(ujson.encode(arr)), dtype=np.float32)
         assert_array_almost_equal_nulp(arr, outp)

pandas/tests/test_series.py

@@ -6074,7 +6074,7 @@ def test_getitem_setitem_datetimeindex(self):
         assert_series_equal(result, ts)
 
     def test_getitem_setitem_datetime_tz_pytz(self):
-        tm._skip_if_no_pytz();
+        tm._skip_if_no_pytz()
         from pytz import timezone as tz
 
         from pandas import date_range
@@ -6110,7 +6110,7 @@ def test_getitem_setitem_datetime_tz_pytz(self):
 
 
     def test_getitem_setitem_datetime_tz_dateutil(self):
-        tm._skip_if_no_dateutil();
+        tm._skip_if_no_dateutil()
         from dateutil.tz import tzutc
         from pandas.tslib import _dateutil_gettz as gettz
 

pandas/util/testing.py

@@ -1886,7 +1886,7 @@ def assertRaises(_exception, _callable=None, *args, **kwargs):
     In addition to using it as a contextmanager, you can also use it as a
     function, just like the normal assertRaises
 
-    >>> assertRaises(TypeError, ",".join, [1, 3, 5]);
+    >>> assertRaises(TypeError, ",".join, [1, 3, 5])
     """
     manager = _AssertRaisesContextmanager(exception=_exception)
     # don't return anything if used in function form
@@ -1907,18 +1907,18 @@ def assertRaisesRegexp(_exception, _regexp, _callable=None, *args, **kwargs):
 
     You can pass either a regular expression or a compiled regular expression object.
     >>> assertRaisesRegexp(ValueError, 'invalid literal for.*XYZ',
-    ...                                int, 'XYZ');
+    ...                                int, 'XYZ')
     >>> import re
-    >>> assertRaisesRegexp(ValueError, re.compile('literal'), int, 'XYZ');
+    >>> assertRaisesRegexp(ValueError, re.compile('literal'), int, 'XYZ')
 
     If an exception of a different type is raised, it bubbles up.
 
-    >>> assertRaisesRegexp(TypeError, 'literal', int, 'XYZ');
+    >>> assertRaisesRegexp(TypeError, 'literal', int, 'XYZ')
     Traceback (most recent call last):
         ...
     ValueError: invalid literal for int() with base 10: 'XYZ'
     >>> dct = dict()
-    >>> assertRaisesRegexp(KeyError, 'pear', dct.__getitem__, 'apple');
+    >>> assertRaisesRegexp(KeyError, 'pear', dct.__getitem__, 'apple')
     Traceback (most recent call last):
         ...
     AssertionError: "pear" does not match "'apple'"