📝 remove debug print statement and enhance type handling for hf_x

Author: jonasvdd

plotly_resampler/figure_resampler/figure_resampler.py

@@ -625,7 +625,6 @@ def show_dash(
 
         # function signatures are slightly different for the (Jupyter)Dash and the
         # JupyterDashInlinePersistent implementations
-        print("kwargs", kwargs)
         if mode == "inline_persistent":
             jpi = JupyterDashPersistentInlineOutput(self)
             jpi.run_app(app=app, **kwargs)

plotly_resampler/figure_resampler/figure_resampler_interface.py

@@ -576,7 +576,7 @@ def _parse_get_trace_props(
             A namedtuple which serves as a datacontainer.
 
         """
-        hf_x: np.ndarray = (
+        hf_x: np.ndarray | pd.Index = (
             # fmt: off
             (np.asarray(trace["x"]) if trace["x"] is not None else None)
             if hasattr(trace, "x") and hf_x is None
@@ -591,6 +591,8 @@ def _parse_get_trace_props(
             else np.asarray(hf_x)
             # fmt: on
         )
+        if pd.core.dtypes.common.is_datetime64_any_dtype(hf_x):
+            hf_x = pd.Index(hf_x)
 
         hf_y = (
             trace["y"]

tests/test_aggregators.py

@@ -365,3 +365,6 @@ def test_MinMaxLTTB_size():
     mmltb = MinMaxLTTB()
     for n_out in np.random.randint(500, 1_000, size=3):
         assert n_out == mmltb._arg_downsample(x, y, n_out).shape[0]
+
+
+# TODO: add tests for all the supported data types?