Input array now is not C-contiguous

Author: seisman

pygmt/tests/test_clib_to_numpy.py

@@ -86,13 +86,13 @@ def test_to_numpy_ndarray_numpy_dtypes_numeric(dtype, expected_dtype):
     Test both 1-D and 2-D arrays.
     """
     # 1-D array
-    array = np.array([1, 2, 3], dtype=dtype)
+    array = np.array([1, 2, 3, 4, 5, 6], dtype=dtype)[::2]  # Not C-contiguous
     result = _to_numpy(array)
     _check_result(result, expected_dtype)
     npt.assert_array_equal(result, array, strict=True)
 
     # 2-D array
-    array = np.array([[1, 2, 3], [4, 5, 6]], dtype=dtype)
+    array = np.array([[1, 2, 3, 4], [5, 6, 7, 8]], dtype=dtype)[::2, ::2]
     result = _to_numpy(array)
     _check_result(result, expected_dtype)
     npt.assert_array_equal(result, array, strict=True)
@@ -132,7 +132,7 @@ def test_to_numpy_pandas_series_numpy_dtypes_numeric(dtype, expected_dtype):
     """
     Test the _to_numpy function with pandas.Series of NumPy numeric dtypes.
     """
-    series = pd.Series([1, 2, 3], dtype=dtype)
+    series = pd.Series([1, 2, 3, 4, 5, 6], dtype=dtype)[::2]  # Not C-contiguous
     result = _to_numpy(series)
     _check_result(result, expected_dtype)
     npt.assert_array_equal(result, series)