dataframe

pandas-dev · jorisvandenbossche · Jan 7, 2020 · Dec 18, 2019 · Dec 21, 2019 · Dec 21, 2019
commit f1e34c6169d0b5b939aeb5dcb0135f4a3dcc005b
diff --git a/doc/source/whatsnew/v1.0.0.rst b/doc/source/whatsnew/v1.0.0.rst
@@ -197,7 +197,7 @@ Other enhancements
 ^^^^^^^^^^^^^^^^^^
 
 - :meth:`DataFrame.to_string` added the ``max_colwidth`` parameter to control when wide columns are truncated (:issue:`9784`)
-- Added the ``na_value`` argument to :meth:`Series.to_numpy` and :meth:`Index.to_numpy` to control the value used for missing data (:issue:`30322`)
+- Added the ``na_value`` argument to :meth:`Series.to_numpy`, :meth:`Index.to_numpy` and :meth:`DataFrame.to_numpy` to control the value used for missing data (:issue:`30322`)
 - :meth:`MultiIndex.from_product` infers level names from inputs if not explicitly provided (:issue:`27292`)
 - :meth:`DataFrame.to_latex` now accepts ``caption`` and ``label`` arguments (:issue:`25436`)
 - The :ref:`integer dtype <integer_na>` with support for missing values and the

diff --git a/pandas/tests/frame/test_api.py b/pandas/tests/frame/test_api.py
@@ -365,6 +365,11 @@ def test_to_numpy_na_values(self):
         tm.assert_numpy_array_equal(result, expected)
         tm.assert_frame_equal(df, original)
 
+        result = df.to_numpy(dtype="int", na_value=0)
+        expected = np.array([[1, 0, 3]]).T
+        tm.assert_numpy_array_equal(result, expected)
+        tm.assert_frame_equal(df, original)
+
     def test_to_numpy_na_value_heterogenous(self):
         df = pd.DataFrame({"A": [1, None, 3], "B": ["a", None, "c"]})
         original = df.copy()