Add tests for panda.Series with pandas numeric dtypes

Author: seisman

pygmt/tests/test_clib_to_numpy.py

@@ -145,3 +145,29 @@ def test_to_numpy_pandas_series_numpy_dtypes_numeric(dtype, supported):
     result = _to_numpy(series)
     _check_result(result, supported)
     npt.assert_array_equal(result, series)
+
+
+@pytest.mark.parametrize(
+    ("dtype", "supported"),
+    [
+        pytest.param(pd.Int8Dtype(), True, id="Int8"),
+        pytest.param(pd.Int16Dtype(), True, id="Int16"),
+        pytest.param(pd.Int32Dtype(), True, id="Int32"),
+        pytest.param(pd.Int64Dtype(), True, id="Int64"),
+        pytest.param(pd.UInt8Dtype(), True, id="UInt8"),
+        pytest.param(pd.UInt16Dtype(), True, id="UInt16"),
+        pytest.param(pd.UInt32Dtype(), True, id="UInt32"),
+        pytest.param(pd.UInt64Dtype(), True, id="UInt64"),
+        pytest.param(pd.Float32Dtype(), True, id="Float32"),
+        pytest.param(pd.Float64Dtype(), True, id="Float64"),
+    ],
+)
+def test_to_numpy_pandas_series_pandas_dtypes_numeric(dtype, supported):
+    """
+    Test the _to_numpy function with pandas.Series of pandas numeric dtypes.
+    """
+    series = pd.Series([1, 2, 3], dtype=dtype)
+    assert series.dtype == dtype
+    result = _to_numpy(series)
+    _check_result(result, supported)
+    npt.assert_array_equal(result, series)