BUG: Handle NA values for ExtensionArrays in Series.count

doc/source/whatsnew/v0.25.0.rst

@@ -729,12 +729,14 @@ Sparse
 - Bug in :class:`SparseDataFrame` when adding a column in which the length of values does not match length of index, ``AssertionError`` is raised instead of raising ``ValueError`` (:issue:`25484`)
 - Introduce a better error message in :meth:`Series.sparse.from_coo` so it returns a ``TypeError`` for inputs that are not coo matrices (:issue:`26554`)
 
+
 Other
 ^^^^^
 
 - Removed unused C functions from vendored UltraJSON implementation (:issue:`26198`)
 - Bug in :func:`factorize` when passing an ``ExtensionArray`` with a custom ``na_sentinel`` (:issue:`25696`).
 - Allow :class:`Index` and :class:`RangeIndex` to be passed to numpy ``min`` and ``max`` functions (:issue:`26125`)
+- :meth:`Series.count` miscounts NA values in ExtensionArrays (:issue:`26835`)
 
 .. _whatsnew_0.250.contributors:
 

pandas/core/series.py

@@ -1651,7 +1651,7 @@ def count(self, level=None):
         2
         """
         if level is None:
-            return notna(com.values_from_object(self)).sum()
+            return notna(self.array).sum()
 
         if isinstance(level, str):
             level = self.index._get_level_number(level)

pandas/tests/extension/base/methods.py

@@ -30,6 +30,13 @@ def test_count(self, data_missing):
         expected = pd.Series([0, 1])
         self.assert_series_equal(result, expected)
 
+    def test_series_count(self, data_missing):
+        # GH#26835
+        ser = pd.Series(data_missing)
+        result = ser.count()
+        expected = 1
+        assert result == expected
+
     def test_apply_simple_series(self, data):
         result = pd.Series(data).apply(id)
         assert isinstance(result, pd.Series)