TST: remove some warnings (#17638)

Author: jreback

pandas/core/reshape/reshape.py

@@ -851,7 +851,7 @@ def lreshape(data, groups, dropna=True, label=None):
     return DataFrame(mdata, columns=id_cols + pivot_cols)
 
 
-def wide_to_long(df, stubnames, i, j, sep="", suffix='\d+'):
     r"""
     Wide panel to long format. Less flexible but more user-friendly than melt.
 

pandas/plotting/_core.py

@@ -2726,7 +2726,7 @@ def barh(self, x=None, y=None, **kwds):
         return self(kind='barh', x=x, y=y, **kwds)
 
     def box(self, by=None, **kwds):
-        """
         Boxplot
 
         .. versionadded:: 0.17.0

pandas/tests/frame/test_operators.py

@@ -1035,6 +1035,12 @@ def test_boolean_comparison(self):
         result = df == tup
         assert_frame_equal(result, expected)
 
+    def test_boolean_comparison_error(self):
+
+        # GH 4576
+        # boolean comparisons with a tuple/list give unexpected results
+        df = DataFrame(np.arange(6).reshape((3, 2)))
+
         # not shape compatible
         pytest.raises(ValueError, lambda: df == (2, 2))
         pytest.raises(ValueError, lambda: df == [2, 2])

pandas/tests/indexes/test_interval.py

@@ -1068,7 +1068,7 @@ def test_errors(self):
             interval_range(start='foo', periods=10)
 
         # invalid end
-        msg = 'end must be numeric or datetime-like, got \(0, 1\]'
         with tm.assert_raises_regex(ValueError, msg):
             interval_range(end=Interval(0, 1), periods=10)
 

pandas/tests/io/test_stata.py

@@ -1053,7 +1053,8 @@ def test_iterator(self):
             tm.assert_frame_equal(parsed.iloc[0:5, :], chunk)
 
         # GH12153
-        from_chunks = pd.concat(read_stata(fname, chunksize=4))
+            from_chunks = pd.concat(itr)
         tm.assert_frame_equal(parsed, from_chunks)
 
     def test_read_chunks_115(self):
@@ -1306,8 +1307,9 @@ def test_value_labels_iterator(self, write_index):
         df['A'] = df['A'].astype('category')
         with tm.ensure_clean() as path:
             df.to_stata(path, write_index=write_index)
-            dta_iter = pd.read_stata(path, iterator=True)
-            value_labels = dta_iter.value_labels()
+                value_labels = dta_iter.value_labels()
         assert value_labels == {'A': {0: 'A', 1: 'B', 2: 'C', 3: 'E'}}
 
     def test_set_index(self):