comp(matplotlib): Add compatibility with Matplotlib 3.9

holoviews/plotting/mpl/chart.py

@@ -1,7 +1,6 @@
 import matplotlib as mpl
 import numpy as np
 import param
-from matplotlib import cm
 from matplotlib.collections import LineCollection
 from matplotlib.dates import DateFormatter, date2num
 from packaging.version import Version
@@ -27,7 +26,7 @@
 from .element import ColorbarPlot, ElementPlot, LegendPlot
 from .path import PathPlot
 from .plot import AdjoinedPlot, mpl_rc_context
-from .util import mpl_version
+from .util import MPL_GE_3_7, MPL_GE_3_9, mpl_version
 
 
 class ChartPlot(ElementPlot):
@@ -95,7 +94,10 @@ def get_data(self, element, ranges, style):
     def init_artists(self, ax, plot_args, plot_kwargs):
         xs, ys = plot_args
         if isdatetime(xs):
-            artist = ax.plot_date(xs, ys, '-', **plot_kwargs)[0]
+            if MPL_GE_3_9:
+                artist = ax.plot(xs, ys, '-', **plot_kwargs)[0]
+            else:
+                artist = ax.plot_date(xs, ys, '-', **plot_kwargs)[0]
         else:
             artist = ax.plot(xs, ys, **plot_kwargs)[0]
         return {'artist': artist}
@@ -501,7 +503,12 @@ def _update_plot(self, key, element, bars, lims, ranges):
         # Get colormapping options
         if isinstance(range_item, (HeatMap, Raster)) or (cdim and cdim in element):
             style = self.lookup_options(range_item, 'style')[self.cyclic_index]
-            cmap = cm.get_cmap(style.get('cmap'))
+            if MPL_GE_3_7:
+                # https://github.com/matplotlib/matplotlib/pull/28355
+                cmap = mpl.colormaps.get_cmap(style.get('cmap'))
+            else:
+                from matplotlib import cm
+                cmap = cm.get_cmap(style.get('cmap'))
             main_range = style.get('clims', main_range)
         else:
             cmap = None

holoviews/plotting/mpl/stats.py

@@ -6,6 +6,7 @@
 from .chart import AreaPlot, ChartPlot
 from .path import PolygonPlot
 from .plot import AdjoinedPlot
+from .util import MPL_GE_3_9
 
 
 class DistributionPlot(AreaPlot):
@@ -77,7 +78,10 @@ def get_data(self, element, ranges, style):
             d = group[group.vdims[0]]
             data.append(d[np.isfinite(d)])
             labels.append(label)
-        style['labels'] = labels
+        if MPL_GE_3_9:
+            style['tick_labels'] = labels
+        else:
+            style['labels'] = labels
         style = {k: v for k, v in style.items()
                  if k not in ['zorder', 'label']}
         style['vert'] = not self.invert_axes
@@ -157,7 +161,10 @@ def init_artists(self, ax, plot_args, plot_kwargs):
         stats_color = plot_kwargs.pop('stats_color', 'black')
         facecolors = plot_kwargs.pop('facecolors', [])
         edgecolors = plot_kwargs.pop('edgecolors', 'black')
-        labels = plot_kwargs.pop('labels')
+        if MPL_GE_3_9:
+            labels = {'tick_labels': plot_kwargs.pop('tick_labels')}
+        else:
+            labels = {'labels': plot_kwargs.pop('labels')}
         alpha = plot_kwargs.pop('alpha', 1.)
         showmedians = self.inner == 'medians'
         bw_method = self.bandwidth or 'scott'
@@ -168,7 +175,7 @@ def init_artists(self, ax, plot_args, plot_kwargs):
                              showfliers=False, showcaps=False, patch_artist=True,
                              boxprops={'facecolor': box_color},
                              medianprops={'color': 'white'}, widths=0.1,
-                             labels=labels)
+                             **labels)
             artists.update(box)
         for body, color in zip(artists['bodies'], facecolors):
             body.set_facecolors(color)
@@ -199,7 +206,10 @@ def get_data(self, element, ranges, style):
             labels.append(label)
             colors.append(elstyle[i].get('facecolors', 'blue'))
         style['positions'] = list(range(len(data)))
-        style['labels'] = labels
+        if MPL_GE_3_9:
+            style['tick_labels'] = labels
+        else:
+            style['labels'] = labels
         style['facecolors'] = colors
 
         if element.ndims > 0:

holoviews/plotting/mpl/util.py

@@ -37,6 +37,8 @@
 from ..util import COLOR_ALIASES, RGB_HEX_REGEX
 
 mpl_version = Version(mpl.__version__)
+MPL_GE_3_7 = mpl_version >= Version('3.7')
+MPL_GE_3_9 = mpl_version >= Version('3.9')
 
 
 def is_color(color):

holoviews/tests/plotting/matplotlib/test_annotationplot.py

@@ -2,6 +2,7 @@
 
 import holoviews as hv
 from holoviews.element import HLines, HSpans, VLines, VSpans
+from holoviews.plotting.mpl.util import MPL_GE_3_9
 
 from .test_plot import TestMPLPlot, mpl_renderer
 
@@ -153,6 +154,25 @@ def test_vlines_hlines_overlay(self):
 
 
 class TestHVSpansPlot(TestMPLPlot):
+
+    def _hspans_check(self, source, v0, v1):
+        # Matplotlib 3.9+ uses a rectangle instead of polygon
+        if MPL_GE_3_9:
+            rect = [source.get_x(), source.get_y(), source.get_width(), source.get_height()]
+            assert np.allclose(rect, [0, v0, 1, v1 - v0])
+        else:
+            assert np.allclose(source.xy[:, 0], [0, 0, 1, 1, 0])
+            assert np.allclose(source.xy[:, 1], [v0, v1, v1, v0, v0])
+
+    def _vspans_check(self, source, v0, v1):
+        # Matplotlib 3.9+ uses a rectangle instead of polygon
+        if MPL_GE_3_9:
+            rect = [source.get_x(), source.get_y(), source.get_width(), source.get_height()]
+            assert np.allclose(rect, [v0, 0, v1 - v0, 1])
+        else:
+            assert np.allclose(source.xy[:, 1], [0, 1, 1, 0, 0])
+            assert np.allclose(source.xy[:, 0], [v0, v0, v1, v1, v0])
+
     def test_hspans_plot(self):
         hspans = HSpans(
             {"y0": [0, 3, 5.5], "y1": [1, 4, 6.5], "extra": [-1, -2, -3]},
@@ -164,14 +184,17 @@ def test_hspans_plot(self):
 
         xlim = plot.handles["fig"].axes[0].get_xlim()
         ylim = plot.handles["fig"].axes[0].get_ylim()
-        assert np.allclose(xlim, (-0.055, 0.055))
+        if MPL_GE_3_9:
+            assert np.allclose(xlim, (-0.05, 1.05))
+        else:
+            assert np.allclose(xlim, (-0.055, 0.055))
+
         assert np.allclose(ylim, (0, 6.5))
 
         sources = plot.handles["annotations"]
         assert len(sources) == 3
         for source, v0, v1 in zip(sources, hspans.data["y0"], hspans.data["y1"]):
-            assert np.allclose(source.xy[:, 0], [0, 0, 1, 1, 0])
-            assert np.allclose(source.xy[:, 1], [v0, v1, v1, v0, v0])
+            self._hspans_check(source, v0, v1)
 
     def test_hspans_inverse_plot(self):
         hspans = HSpans(
@@ -190,8 +213,7 @@ def test_hspans_inverse_plot(self):
         sources = plot.handles["annotations"]
         assert len(sources) == 3
         for source, v0, v1 in zip(sources, hspans.data["y0"], hspans.data["y1"]):
-            assert np.allclose(source.xy[:, 1], [0, 1, 1, 0, 0])
-            assert np.allclose(source.xy[:, 0], [v0, v0, v1, v1, v0])
+            self._vspans_check(source, v0, v1)
 
     def test_dynamicmap_overlay_hspans(self):
         el = HSpans(data=[[1, 3], [2, 4]])
@@ -218,16 +240,18 @@ def test_hspans_nondefault_kdim(self):
 
         xlim = plot.handles["fig"].axes[0].get_xlim()
         ylim = plot.handles["fig"].axes[0].get_ylim()
-        assert np.allclose(xlim, (-0.055, 0.055))
+        if MPL_GE_3_9:
+            assert np.allclose(xlim, (-0.05, 1.05))
+        else:
+            assert np.allclose(xlim, (-0.055, 0.055))
         assert np.allclose(ylim, (0, 6.5))
 
         sources = plot.handles["annotations"]
         assert len(sources) == 3
         for source, v0, v1 in zip(
             sources, hspans.data["other0"], hspans.data["other1"]
         ):
-            assert np.allclose(source.xy[:, 0], [0, 0, 1, 1, 0])
-            assert np.allclose(source.xy[:, 1], [v0, v1, v1, v0, v0])
+            self._hspans_check(source, v0, v1)
 
     def test_vspans_plot(self):
         vspans = VSpans(
@@ -246,8 +270,7 @@ def test_vspans_plot(self):
         sources = plot.handles["annotations"]
         assert len(sources) == 3
         for source, v0, v1 in zip(sources, vspans.data["x0"], vspans.data["x1"]):
-            assert np.allclose(source.xy[:, 1], [0, 1, 1, 0, 0])
-            assert np.allclose(source.xy[:, 0], [v0, v0, v1, v1, v0])
+            self._vspans_check(source, v0, v1)
 
     def test_vspans_inverse_plot(self):
         vspans = VSpans(
@@ -260,14 +283,16 @@ def test_vspans_inverse_plot(self):
 
         xlim = plot.handles["fig"].axes[0].get_xlim()
         ylim = plot.handles["fig"].axes[0].get_ylim()
-        assert np.allclose(xlim, (-0.055, 0.055))
+        if MPL_GE_3_9:
+            assert np.allclose(xlim, (-0.05, 1.05))
+        else:
+            assert np.allclose(xlim, (-0.055, 0.055))
         assert np.allclose(ylim, (0, 6.5))
 
         sources = plot.handles["annotations"]
         assert len(sources) == 3
         for source, v0, v1 in zip(sources, vspans.data["x0"], vspans.data["x1"]):
-            assert np.allclose(source.xy[:, 0], [0, 0, 1, 1, 0])
-            assert np.allclose(source.xy[:, 1], [v0, v1, v1, v0, v0])
+            self._hspans_check(source, v0, v1)
 
     def test_vspans_nondefault_kdims(self):
         vspans = VSpans(
@@ -287,8 +312,7 @@ def test_vspans_nondefault_kdims(self):
         for source, v0, v1 in zip(
             sources, vspans.data["other0"], vspans.data["other1"]
         ):
-            assert np.allclose(source.xy[:, 1], [0, 1, 1, 0, 0])
-            assert np.allclose(source.xy[:, 0], [v0, v0, v1, v1, v0])
+            self._vspans_check(source, v0, v1)
 
     def test_vspans_hspans_overlay(self):
         hspans = HSpans(
@@ -310,12 +334,10 @@ def test_vspans_hspans_overlay(self):
 
         sources = plot.handles["fig"].axes[0].get_children()
         for source, v0, v1 in zip(sources[:3], hspans.data["y0"], hspans.data["y1"]):
-            assert np.allclose(source.xy[:, 0], [0, 0, 1, 1, 0])
-            assert np.allclose(source.xy[:, 1], [v0, v1, v1, v0, v0])
+            self._hspans_check(source, v0, v1)
 
         for source, v0, v1 in zip(sources[3:6], vspans.data["x0"], vspans.data["x1"]):
-            assert np.allclose(source.xy[:, 1], [0, 1, 1, 0, 0])
-            assert np.allclose(source.xy[:, 0], [v0, v0, v1, v1, v0])
+            self._vspans_check(source, v0, v1)
 
     def test_dynamicmap_overlay_vspans(self):
         el = VSpans(data=[[1, 3], [2, 4]])

holoviews/tests/plotting/matplotlib/test_boxwhisker.py

@@ -1,6 +1,7 @@
 import numpy as np
 
 from holoviews.element import BoxWhisker
+from holoviews.plotting.mpl.util import MPL_GE_3_9
 
 from .test_plot import TestMPLPlot, mpl_renderer
 
@@ -13,7 +14,10 @@ def test_boxwhisker_simple(self):
         plot = mpl_renderer.get_plot(boxwhisker)
         data, style, axis_opts = plot.get_data(boxwhisker, {}, {})
         self.assertEqual(data[0][0], values)
-        self.assertEqual(style['labels'], [''])
+        if MPL_GE_3_9:
+            self.assertEqual(style['tick_labels'], [''])
+        else:
+            self.assertEqual(style['labels'], [''])
 
     def test_boxwhisker_simple_overlay(self):
         values = np.random.rand(100)

holoviews/tests/plotting/matplotlib/test_violinplot.py

@@ -1,6 +1,7 @@
 import numpy as np
 
 from holoviews.element import Violin
+from holoviews.plotting.mpl.util import MPL_GE_3_9
 
 from .test_plot import TestMPLPlot, mpl_renderer
 
@@ -14,7 +15,10 @@ def test_violin_simple(self):
         data, style, axis_opts = plot.get_data(violin, {}, {})
         self.assertEqual(data[0][0], values)
         self.assertEqual(style['positions'], [0])
-        self.assertEqual(style['labels'], [''])
+        if MPL_GE_3_9:
+            self.assertEqual(style['tick_labels'], [''])
+        else:
+            self.assertEqual(style['labels'], [''])
 
     def test_violin_simple_overlay(self):
         values = np.random.rand(100)
@@ -34,4 +38,7 @@ def test_violin_multi(self):
         self.assertEqual(data[0][0], violin.select(A=0).dimension_values(1))
         self.assertEqual(data[0][1], violin.select(A=1).dimension_values(1))
         self.assertEqual(style['positions'], [0, 1])
-        self.assertEqual(style['labels'], ['0', '1'])
+        if MPL_GE_3_9:
+            self.assertEqual(style['tick_labels'], ['0', '1'])
+        else:
+            self.assertEqual(style['labels'], ['0', '1'])

pyproject.toml

@@ -119,6 +119,8 @@ filterwarnings = [
     # 2024-06
     "ignore:\\s*Dask dataframe query planning is disabled because dask-expr is not installed:FutureWarning", # OK
     "ignore:unclosed file <_io.TextIOWrapper name='/dev/null' mode='w':ResourceWarning", # OK
+    # 2024-07
+    "ignore:The (non_)?interactive_bk attribute was deprecated in Matplotlib 3.9", # OK - Only happening in debug mode
 ]
 
 [tool.coverage]