fix categorical and sparse tests

Author: jorisvandenbossche

pandas/tests/io/formats/test_format.py

@@ -2093,6 +2093,7 @@ def getndots(s):
         self.assertEqual(getndots(strrepr), 3)
 
     def test_show_dimensions(self):
+        # gh-7117
         s = Series(range(5))
 
         assert 'Length' not in repr(s)

pandas/tests/sparse/test_format.py

@@ -33,7 +33,7 @@ def test_sparse_max_row(self):
             # GH 10560
             result = repr(s)
             exp = ("0    1.0\n    ... \n4    NaN\n"
-                   "dtype: float64\nBlockIndex\n"
+                   "Length: 5, dtype: float64\nBlockIndex\n"
                    "Block locations: array([0, 3]{0})\n"
                    "Block lengths: array([1, 1]{0})".format(dfm))
             self.assertEqual(result, exp)
@@ -52,7 +52,8 @@ def test_sparse_mi_max_row(self):
                "Block lengths: array([1, 1]{0})".format(dfm))
         self.assertEqual(result, exp)
 
-        with option_context("display.max_rows", 3):
+        with option_context("display.max_rows", 3,
+                            "display.show_dimensions", False):
             # GH 13144
             result = repr(s)
             exp = ("A  0    1.0\n       ... \nC  2    NaN\n"
@@ -77,7 +78,7 @@ def test_sparse_bool(self):
         with option_context("display.max_rows", 3):
             result = repr(s)
             exp = ("0     True\n     ...  \n5    False\n"
-                   "dtype: bool\nBlockIndex\n"
+                   "Length: 6, dtype: bool\nBlockIndex\n"
                    "Block locations: array([0, 3]{0})\n"
                    "Block lengths: array([1, 1]{0})".format(dtype))
             self.assertEqual(result, exp)
@@ -94,7 +95,8 @@ def test_sparse_int(self):
                "Block lengths: array([1, 1]{0})".format(dtype))
         self.assertEqual(result, exp)
 
-        with option_context("display.max_rows", 3):
+        with option_context("display.max_rows", 3,
+                            "display.show_dimensions", False):
             result = repr(s)
             exp = ("0    0\n    ..\n5    0\n"
                    "dtype: int64\nBlockIndex\n"

pandas/tests/test_categorical.py

@@ -2088,7 +2088,7 @@ def test_repr(self):
 
         a = pd.Series(pd.Categorical(["a", "b"] * 25))
         exp = u("0     a\n1     b\n" + "     ..\n" + "48    a\n49    b\n" +
-                "dtype: category\nCategories (2, object): [a, b]")
+                "Length: 50, dtype: category\nCategories (2, object): [a, b]")
         with option_context("display.max_rows", 5):
             self.assertEqual(exp, repr(a))