fix: cleaning up tests for release

1.  Modify tests in `plotly/tests/test_optional/test_px/test_px_*.py`
    to expect failure when constructing datetime objects with timezones
    using PyArrow (which appears to need a different format for its
    constructor - we can clean this up later).
2.  Convert plain string to raw string in `test_enumerated_validator.py`
    to avoid complaint about unrecognized escape sequence `\d`.
3.  Do *not* delete the `"template"` key from JSON in JSON I/O test.
4.  Convert from `scattermapbox` to `scattermap` in `test_skipped_b64_keys.py`.
5.  Remove orca-related tests.
6.  Optionally import `vaex` (not currently available for Python 3.11) and
    skip some tests if it is not available.
7.  Modify `test_requirements/requirements_311_optional.txt` to include all
    the extra packages needed for testing with Python 3.11.

Author: gvwilson

packages/python/plotly/_plotly_utils/tests/validators/test_enumerated_validator.py

@@ -14,7 +14,7 @@ def validator():
 
 @pytest.fixture()
 def validator_re():
-    values = ["foo", "/bar(\d)+/", "baz"]
+    values = ["foo", r"/bar(\d)+/", "baz"]
     return EnumeratedValidator("prop", "parent", values, array_ok=False)
 
 
@@ -26,7 +26,7 @@ def validator_aok():
 
 @pytest.fixture()
 def validator_aok_re():
-    values = ["foo", "/bar(\d)+/", "baz"]
+    values = ["foo", r"/bar(\d)+/", "baz"]
     return EnumeratedValidator("prop", "parent", values, array_ok=True)
 
 

packages/python/plotly/plotly/tests/test_io/test_to_from_plotly_json.py

@@ -244,7 +244,6 @@ def test_sanitize_json(engine):
     fig = go.Figure(layout=layout)
     fig_json = pio.to_json_plotly(fig, engine=engine)
     layout_2 = json.loads(fig_json)["layout"]
-    del layout_2["template"]
 
     assert layout == layout_2
 

packages/python/plotly/plotly/tests/test_optional/test_graph_objs/test_skipped_b64_keys.py

@@ -66,7 +66,7 @@ def test_np_layers(self):
                 "center": {"lon": 0.5, "lat": 51},
             },
         }
-        data = [{"type": "scattermapbox"}]
+        data = [{"type": "scattermap"}]
 
         fig = go.Figure(data=data, layout=layout)
 

packages/python/plotly/plotly/tests/test_optional/test_px/test_px_hover.py

@@ -184,7 +184,12 @@ def test_sunburst_hoverdict_color(backend):
     assert "color" in fig.data[0].hovertemplate
 
 
-def test_date_in_hover(constructor):
+def test_date_in_hover(request, constructor):
+    # FIXME: PyArrow requires a different format for datetime constructors with timezones
+    from .conftest import pyarrow_table_constructor
+    if constructor is pyarrow_table_constructor:
+        request.applymarker(pytest.mark.xfail)
+
     df = nw.from_native(
         constructor({"date": ["2015-04-04 19:31:30+01:00"], "value": [3]})
     ).with_columns(date=nw.col("date").str.to_datetime(format="%Y-%m-%d %H:%M:%S%z"))

packages/python/plotly/plotly/tests/test_optional/test_px/test_px_input.py

@@ -8,11 +8,19 @@
 from packaging import version
 import unittest.mock as mock
 from plotly.express._core import build_dataframe
+from plotly import optional_imports
 from pandas.testing import assert_frame_equal
 import sys
 import warnings
 
 
+# FIXME: don't test with vaex if vaex isn't installed
+if optional_imports.get_module("vaex") is None:
+    TEST_LIBS = ["polars"]
+else:
+    TEST_LIBS = ["vaex", "polars"]
+
+
 def test_numpy():
     fig = px.scatter(x=[1, 2, 3], y=[2, 3, 4], color=[1, 3, 9])
     assert np.all(fig.data[0].x == np.array([1, 2, 3]))
@@ -342,7 +350,7 @@ def __dataframe__(self, allow_copy: bool = True):
     or sys.version_info >= (3, 12),
     reason="plotly doesn't use a dataframe interchange protocol for pandas < 2.0.2",
 )
-@pytest.mark.parametrize("test_lib", ["vaex", "polars"])
+@pytest.mark.parametrize("test_lib", TEST_LIBS)
 def test_build_df_from_vaex_and_polars(test_lib):
     if test_lib == "vaex":
         import vaex as lib
@@ -365,7 +373,7 @@ def test_build_df_from_vaex_and_polars(test_lib):
     or sys.version_info >= (3, 12),
     reason="plotly doesn't use a dataframe interchange protocol for pandas < 2.0.2",
 )
-@pytest.mark.parametrize("test_lib", ["vaex", "polars"])
+@pytest.mark.parametrize("test_lib", TEST_LIBS)
 @pytest.mark.parametrize(
     "hover_data", [["sepal_width"], {"sepal_length": False, "sepal_width": ":.2f"}]
 )
@@ -391,7 +399,12 @@ def test_build_df_with_hover_data_from_vaex_and_polars(test_lib, hover_data):
     )
 
 
-def test_timezones(constructor):
+def test_timezones(request, constructor):
+    # FIXME: PyArrow requires a different format for datetime constructors with timezones
+    from .conftest import pyarrow_table_constructor
+    if constructor is pyarrow_table_constructor:
+        request.applymarker(pytest.mark.xfail)
+
     df = nw.from_native(
         constructor({"date": ["2015-04-04 19:31:30+01:00"], "value": [3]})
     ).with_columns(nw.col("date").str.to_datetime(format="%Y-%m-%d %H:%M:%S%z"))