TST: remove some 3.6 warnings

Author: jreback

pandas/core/groupby.py

@@ -2466,7 +2466,7 @@ def is_in_obj(gpr):
                          "Defaulting to column but "
                          "this will raise an ambiguity error in a "
                          "future version") % gpr,
-                        FutureWarning, stacklevel=2)
+                        FutureWarning, stacklevel=3)
                 in_axis, name, gpr = True, gpr, obj[gpr]
                 exclusions.append(name)
             elif gpr in obj.index.names:

pandas/io/tests/parser/test_unsupported.py

@@ -69,9 +69,9 @@ def test_c_engine(self):
         msg = 'Error tokenizing data'
 
         with tm.assertRaisesRegexp(ParserError, msg):
-            read_table(StringIO(text), sep='\s+')
+            read_table(StringIO(text), sep='\\s+')
         with tm.assertRaisesRegexp(ParserError, msg):
-            read_table(StringIO(text), engine='c', sep='\s+')
+            read_table(StringIO(text), engine='c', sep='\\s+')
 
         msg = "Only length-1 thousands markers supported"
         data = """A|B|C

pandas/sparse/tests/test_array.py

@@ -361,7 +361,7 @@ def test_astype(self):
             arr.astype('i8')
 
         arr = SparseArray([0, np.nan, 0, 1], fill_value=0)
-        msg = 'Cannot convert non-finite values \(NA or inf\) to integer'
+        msg = 'Cannot convert non-finite values \\(NA or inf\\) to integer'
         with tm.assertRaisesRegexp(ValueError, msg):
             arr.astype('i8')
 
@@ -708,7 +708,7 @@ def test_cumsum(self):
             tm.assert_sp_array_equal(out, expected)
 
             axis = 1  # SparseArray currently 1-D, so only axis = 0 is valid.
-            msg = "axis\(={axis}\) out of bounds".format(axis=axis)
+            msg = "axis\\(={axis}\\) out of bounds".format(axis=axis)
             with tm.assertRaisesRegexp(ValueError, msg):
                 SparseArray(data).cumsum(axis=axis)
 

pandas/tests/frame/test_dtypes.py

@@ -390,7 +390,7 @@ def test_astype_cast_nan_inf_int(self):
         # GH14265, check nan and inf raise error when converting to int
         types = [np.int32, np.int64]
         values = [np.nan, np.inf]
-        msg = 'Cannot convert non-finite values \(NA or inf\) to integer'
+        msg = 'Cannot convert non-finite values \\(NA or inf\\) to integer'
 
         for this_type in types:
             for this_val in values:

pandas/tests/series/test_dtypes.py

@@ -46,7 +46,7 @@ def test_astype_cast_nan_inf_int(self):
         # GH14265, check nan and inf raise error when converting to int
         types = [np.int32, np.int64]
         values = [np.nan, np.inf]
-        msg = 'Cannot convert non-finite values \(NA or inf\) to integer'
+        msg = 'Cannot convert non-finite values \\(NA or inf\\) to integer'
 
         for this_type in types:
             for this_val in values: