Merge branch 'main' into to_numpy/pandas_numeric

Author: michaelgrund

examples/tutorials/advanced/date_time_charts.py

@@ -196,7 +196,7 @@
 # uses :func:`pandas.date_range` to fill the DataArray with data, but this is not
 # essential for the creation of a valid DataArray.
 
-x = xr.DataArray(data=pd.date_range(start="2020-01-01", periods=4, freq="Q"))
+x = xr.DataArray(data=pd.date_range(start="2020-01-01", periods=4, freq="QE"))
 y = [4, 7, 5, 6]
 
 fig = pygmt.Figure()
@@ -331,7 +331,7 @@
 # found at :gmt-term:`FORMAT_CLOCK_MAP`, :gmt-term:`FORMAT_CLOCK_IN`, and
 # :gmt-term:`FORMAT_CLOCK_OUT`.
 
-x = pd.date_range("2021-04-15", periods=8, freq="6H")
+x = pd.date_range("2021-04-15", periods=8, freq="6h")
 y = [2, 5, 3, 1, 5, 7, 9, 6]
 
 fig = pygmt.Figure()

pygmt/tests/test_clib_to_numpy.py

@@ -24,6 +24,8 @@ class pa:  # noqa: N801
         A dummy class to mimic pyarrow.
         """
 
+        __version__ = "0.0.0"
+
         @staticmethod
         def timestamp(unit: str, tz: str | None = None):
             """
@@ -422,7 +424,13 @@ def test_to_numpy_pyarrow_numeric_with_na(dtype, expected_dtype):
         "utf8",  # alias for string
         "large_string",
         "large_utf8",  # alias for large_string
-        "string_view",
+        pytest.param(
+            "string_view",
+            marks=pytest.mark.skipif(
+                Version(pa.__version__) < Version("16"),
+                reason="string_view type was added since pyarrow 16",
+            ),
+        ),
     ],
 )
 def test_to_numpy_pyarrow_string(dtype):