Updating GitHub actions

.github/workflows/test.yml

@@ -15,22 +15,17 @@ jobs:
       fail-fast: false
       matrix:
         os: ['ubuntu-latest', 'macos-latest', 'windows-latest']
-        python-version: [2.7, 3.6, 3.7]
-        exclude:
-          - os: windows-latest
-            python-version: 2.7
-          - os: macos-latest
-            python-version: 3.7
+        python-version: [3.6, 3.7, 3.8]
     timeout-minutes: 60
     defaults:
       run:
-        shell: bash -l {0} 
+        shell: bash -l {0}
     env:
       DESC: "Python ${{ matrix.python-version }} tests"
       HV_REQUIREMENTS: "unit_tests"
       PYTHON_VERSION: ${{ matrix.python-version }}
-      CHANS_DEV: "-c pyviz/label/dev -c bokeh/label/dev"
-      CHANS: "-c pyviz"
+      CHANS_DEV: "-c pyviz/label/dev -c bokeh/label/dev -c conda-forge"
+      CHANS: "-c pyviz -c conda-forge"
       MPLBACKEND: "Agg"
       GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
     steps:
@@ -43,6 +38,7 @@ jobs:
       - uses: conda-incubator/setup-miniconda@v2
         with:
           miniconda-version: "latest"
+          channels: conda-forge,defaults
       - name: Fetch unshallow
         run: git fetch --prune --tags --unshallow
       - name: conda setup
@@ -62,26 +58,6 @@ jobs:
           git describe
           echo "======"
           conda list
-      - name: bokeh update
-        if: startsWith(matrix.python-version, 3.)
-        run: |
-          eval "$(conda shell.bash hook)"
-          conda activate test-environment
-          conda install -c pyviz "bokeh>=2.3" "panel>=0.11"
-      - name: datashader pin
-        if: startsWith(matrix.python-version, 2.)
-        run: |
-          eval "$(conda shell.bash hook)"
-          conda activate test-environment
-          conda install -c pyviz "datashader=0.11.1"
-      - name: matplotlib patch
-        if: startsWith(matrix.python-version, 3.)
-        run: |
-          eval "$(conda shell.bash hook)"
-          conda activate test-environment
-          conda uninstall matplotlib matplotlib-base --force
-          conda install matplotlib=3.0.3 --no-deps
-          python -c "import matplotlib; print(matplotlib.__version__);"
       - name: doit env_capture
         run: |
           eval "$(conda shell.bash hook)"
@@ -105,7 +81,6 @@ jobs:
       - name: run coveralls
         env:
           github-token: ${{ secrets.GITHUB_TOKEN }}
-        if: startsWith(matrix.python-version, 3.)
         run: |
           eval "$(conda shell.bash hook)"
           conda activate test-environment

holoviews/plotting/mpl/chart.py

@@ -133,15 +133,17 @@ def init_artists(self, ax, plot_data, plot_kwargs):
             _, (bottoms, tops), verts = handles
         return {'bottoms': bottoms, 'tops': tops, 'verts': verts[0], 'artist': verts[0]}
 
-
     def get_data(self, element, ranges, style):
         with abbreviated_exception():
             style = self._apply_transforms(element, ranges, style)
-        color = style.get('color')
+        color = style.pop('color', None)
         if isinstance(color, np.ndarray):
             style['ecolor'] = color
         if 'edgecolor' in style:
             style['ecolor'] = style.pop('edgecolor')
+        if 'linewidth' in style:
+            # Raise ValueError if a numpy array, so needs to be a list.
+            style["elinewidth"] = np.asarray(style.pop('linewidth')).tolist()
         c = style.get('c')
         if isinstance(c, np.ndarray):
             with abbreviated_exception():
@@ -193,8 +195,8 @@ def update_handles(self, key, axis, element, ranges, style):
             tops.set_ydata(tys)
         if 'ecolor' in style:
             verts.set_edgecolors(style['ecolor'])
-        if 'linewidth' in style:
-            verts.set_linewidths(style['linewidth'])
+        if 'elinewidth' in style:
+            verts.set_linewidths(style['elinewidth'])
 
         return axis_kwargs
 

holoviews/tests/plotting/matplotlib/testcurveplot.py

@@ -19,28 +19,28 @@ def test_curve_datetime64(self):
         dates = [np.datetime64(dt.datetime(2016,1,i)) for i in range(1, 11)]
         curve = Curve((dates, np.random.rand(10)))
         plot = mpl_renderer.get_plot(curve)
-        self.assertEqual(plot.handles['axis'].get_xlim(), (735964.0, 735973.0))
+        self.assertEqual(plot.handles['axis'].get_xlim(), (16801.0, 16810.0))
 
     @pd_skip
     def test_curve_pandas_timestamps(self):
         dates = pd.date_range('2016-01-01', '2016-01-10', freq='D')
         curve = Curve((dates, np.random.rand(10)))
         plot = mpl_renderer.get_plot(curve)
-        self.assertEqual(plot.handles['axis'].get_xlim(), (735964.0, 735973.0))
+        self.assertEqual(plot.handles['axis'].get_xlim(), (16801.0, 16810.0))
 
     def test_curve_dt_datetime(self):
         dates = [dt.datetime(2016,1,i) for i in range(1, 11)]
         curve = Curve((dates, np.random.rand(10)))
         plot = mpl_renderer.get_plot(curve)
-        self.assertEqual(tuple(map(round, plot.handles['axis'].get_xlim())), (735964.0, 735973.0))
+        self.assertEqual(tuple(map(round, plot.handles['axis'].get_xlim())), (16801.0, 16810.0))
 
     def test_curve_heterogeneous_datetime_types_overlay(self):
         dates64 = [np.datetime64(dt.datetime(2016,1,i)) for i in range(1, 11)]
         dates = [dt.datetime(2016,1,i) for i in range(2, 12)]
         curve_dt64 = Curve((dates64, np.random.rand(10)))
         curve_dt = Curve((dates, np.random.rand(10)))
         plot = mpl_renderer.get_plot(curve_dt*curve_dt64)
-        self.assertEqual(tuple(map(round, plot.handles['axis'].get_xlim())), (735964.0, 735974.0))
+        self.assertEqual(tuple(map(round, plot.handles['axis'].get_xlim())), (16801.0, 16811.0))
 
     @pd_skip
     def test_curve_heterogeneous_datetime_types_with_pd_overlay(self):
@@ -51,7 +51,7 @@ def test_curve_heterogeneous_datetime_types_with_pd_overlay(self):
         curve_dt = Curve((dates, np.random.rand(10)))
         curve_pd = Curve((dates_pd, np.random.rand(10)))
         plot = mpl_renderer.get_plot(curve_dt*curve_dt64*curve_pd)
-        self.assertEqual(plot.handles['axis'].get_xlim(), (735964.0, 735976.0))
+        self.assertEqual(plot.handles['axis'].get_xlim(), (16801.0, 16813.0))
 
     def test_curve_padding_square(self):
         curve = Curve([1, 2, 3]).options(padding=0.1)
@@ -131,8 +131,8 @@ def test_curve_padding_datetime_square(self):
         )
         plot = mpl_renderer.get_plot(curve)
         x_range, y_range = plot.handles['axis'].get_xlim(), plot.handles['axis'].get_ylim()
-        self.assertEqual(x_range[0], 736054.80000000005)
-        self.assertEqual(x_range[1], 736057.19999999995)
+        self.assertEqual(x_range[0], 16891.8)
+        self.assertEqual(x_range[1], 16894.2)
         self.assertEqual(y_range[0], 0.8)
         self.assertEqual(y_range[1], 3.2)
 
@@ -142,8 +142,8 @@ def test_curve_padding_datetime_nonsquare(self):
         )
         plot = mpl_renderer.get_plot(curve)
         x_range, y_range = plot.handles['axis'].get_xlim(), plot.handles['axis'].get_ylim()
-        self.assertEqual(x_range[0], 736054.90000000002)
-        self.assertEqual(x_range[1], 736057.09999999998)
+        self.assertEqual(x_range[0], 16891.9)
+        self.assertEqual(x_range[1], 16894.1)
         self.assertEqual(y_range[0], 0.8)
         self.assertEqual(y_range[1], 3.2)
 

holoviews/tests/plotting/matplotlib/testgraphplot.py

@@ -200,11 +200,21 @@ def get_graph(i):
         self.assertEqual(artist.get_linewidths(), [12, 3, 5])
 
     def test_graph_op_node_alpha(self):
+        import matplotlib as mpl
+        from packaging.version import Version
+
         edges = [(0, 1), (0, 2)]
         nodes = Nodes([(0, 0, 0, 0.2), (0, 1, 1, 0.6), (1, 1, 2, 1)], vdims='alpha')
         graph = Graph((edges, nodes)).options(node_alpha='alpha')
-        with self.assertRaises(Exception):
-            mpl_renderer.get_plot(graph)
+
+        if Version(mpl.__version__) < Version("3.4.0"):
+            # Python 3.6 only support up to matplotlib 3.3
+            with self.assertRaises(Exception):
+                mpl_renderer.get_plot(graph)
+        else:
+            plot = mpl_renderer.get_plot(graph)
+            artist = plot.handles['nodes']
+            self.assertEqual(artist.get_alpha(), np.array([0.2, 0.6, 1]))
 
     def test_graph_op_edge_color(self):
         edges = [(0, 1, 'red'), (0, 2, 'green'), (1, 3, 'blue')]
@@ -385,11 +395,21 @@ def test_trimesh_op_node_size(self):
         self.assertEqual(artist.get_sizes(), np.array([9, 4, 64, 16]))
 
     def test_trimesh_op_node_alpha(self):
+        import matplotlib as mpl
+        from packaging.version import Version
+
         edges = [(0, 1, 2), (1, 2, 3)]
         nodes = [(-1, -1, 0, 0.2), (0, 0, 1, 0.6), (0, 1, 2, 1), (1, 0, 3, 0.3)]
         trimesh = TriMesh((edges, Nodes(nodes, vdims='alpha'))).options(node_alpha='alpha')
-        with self.assertRaises(Exception):
-            mpl_renderer.get_plot(trimesh)
+
+        if Version(mpl.__version__) < Version("3.4.0"):
+            # Python 3.6 only support up to matplotlib 3.3
+            with self.assertRaises(Exception):
+                mpl_renderer.get_plot(trimesh)
+        else:
+            plot = mpl_renderer.get_plot(trimesh)
+            artist = plot.handles['nodes']
+            self.assertEqual(artist.get_alpha(), np.array([0.2, 0.6, 1, 0.3]))
 
     def test_trimesh_op_node_line_width(self):
         edges = [(0, 1, 2), (1, 2, 3)]

holoviews/tests/plotting/matplotlib/testhistogramplot.py

@@ -19,8 +19,8 @@ def test_histogram_datetime64_plot(self):
         plot = mpl_renderer.get_plot(hist)
         artist = plot.handles['artist']
         ax = plot.handles['axis']
-        self.assertEqual(ax.get_xlim(), (736330.0, 736333.0))
-        bounds = [736330.0, 736330.75, 736331.5, 736332.25]
+        self.assertEqual(ax.get_xlim(), (17167.0, 17170.0))
+        bounds = [17167.0, 17167.75, 17168.5, 17169.25]
         self.assertEqual([p.get_x() for p in artist.patches], bounds)
 
     def test_histogram_padding_square(self):
@@ -84,8 +84,8 @@ def test_histogram_padding_datetime_square(self):
         )
         plot = mpl_renderer.get_plot(histogram)
         x_range, y_range = plot.handles['axis'].get_xlim(), plot.handles['axis'].get_ylim()
-        self.assertEqual(x_range[0], 736054.19999999995)
-        self.assertEqual(x_range[1], 736057.80000000005)
+        self.assertEqual(x_range[0], 16891.2)
+        self.assertEqual(x_range[1], 16894.8)
         self.assertEqual(y_range[0], 0)
         self.assertEqual(y_range[1], 3.2)
 
@@ -95,8 +95,8 @@ def test_histogram_padding_datetime_nonsquare(self):
         )
         plot = mpl_renderer.get_plot(histogram)
         x_range, y_range = plot.handles['axis'].get_xlim(), plot.handles['axis'].get_ylim()
-        self.assertEqual(x_range[0], 736054.34999999998)
-        self.assertEqual(x_range[1], 736057.65000000002)
+        self.assertEqual(x_range[0], 16891.35)
+        self.assertEqual(x_range[1], 16894.65)
         self.assertEqual(y_range[0], 0)
         self.assertEqual(y_range[1], 3.2)
 
@@ -124,12 +124,16 @@ def test_histogram_categorical_color_op(self):
                               vdims=['y', 'color']).options(color='color')
         with self.assertRaises(Exception):
             mpl_renderer.get_plot(histogram)
-        
+
     def test_histogram_line_color_op(self):
         histogram = Histogram([(0, 0, '#000'), (0, 1, '#F00'), (0, 2, '#0F0')],
                               vdims=['y', 'color']).options(edgecolor='color')
-        with self.assertRaises(Exception):
-            mpl_renderer.get_plot(histogram)
+        plot = mpl_renderer.get_plot(histogram)
+        artist = plot.handles['artist']
+        children = artist.get_children()
+        self.assertEqual(children[0].get_edgecolor(), (0, 0, 0, 1))
+        self.assertEqual(children[1].get_edgecolor(), (1, 0, 0, 1))
+        self.assertEqual(children[2].get_edgecolor(), (0, 1, 0, 1))
 
     def test_histogram_alpha_op(self):
         histogram = Histogram([(0, 0, 0), (0, 1, 0.2), (0, 2, 0.7)],

holoviews/tests/plotting/matplotlib/testpointplot.py

@@ -137,8 +137,8 @@ def test_points_padding_datetime_square(self):
         )
         plot = mpl_renderer.get_plot(points)
         x_range, y_range = plot.handles['axis'].get_xlim(), plot.handles['axis'].get_ylim()
-        self.assertEqual(x_range[0], 736054.80000000005)
-        self.assertEqual(x_range[1], 736057.19999999995)
+        self.assertEqual(x_range[0], 16891.8)
+        self.assertEqual(x_range[1], 16894.2)
         self.assertEqual(y_range[0], 0.8)
         self.assertEqual(y_range[1], 3.2)
 
@@ -148,8 +148,8 @@ def test_points_padding_datetime_nonsquare(self):
         )
         plot = mpl_renderer.get_plot(points)
         x_range, y_range = plot.handles['axis'].get_xlim(), plot.handles['axis'].get_ylim()
-        self.assertEqual(x_range[0], 736054.90000000002)
-        self.assertEqual(x_range[1], 736057.09999999998)
+        self.assertEqual(x_range[0], 16891.9)
+        self.assertEqual(x_range[1], 16894.1)
         self.assertEqual(y_range[0], 0.8)
         self.assertEqual(y_range[1], 3.2)
 

holoviews/tests/plotting/matplotlib/testrenderer.py

@@ -68,12 +68,12 @@ def test_get_size_single_plot(self):
     def test_get_size_row_plot(self):
         plot = self.renderer.get_plot(self.image1+self.image2)
         w, h = self.renderer.get_size(plot)
-        self.assertEqual((w, h), (576, 255))
+        self.assertEqual((w, h), (576, 257))
 
     def test_get_size_column_plot(self):
         plot = self.renderer.get_plot((self.image1+self.image2).cols(1))
         w, h = self.renderer.get_size(plot)
-        self.assertEqual((w, h), (288, 505))
+        self.assertEqual((w, h), (288, 509))
 
     def test_get_size_grid_plot(self):
         grid = GridSpace({(i, j): self.image1 for i in range(3) for j in range(3)})

holoviews/tests/plotting/matplotlib/testspikeplot.py

@@ -67,17 +67,17 @@ def test_spikes_padding_datetime_square(self):
         )
         plot = mpl_renderer.get_plot(spikes)
         x_range = plot.handles['axis'].get_xlim()
-        self.assertEqual(x_range[0], 736054.80000000005)
-        self.assertEqual(x_range[1], 736057.19999999995)
+        self.assertEqual(x_range[0], 16891.8)
+        self.assertEqual(x_range[1], 16894.2)
 
     def test_spikes_padding_datetime_square_heights(self):
         spikes = Spikes([(np.datetime64('2016-04-0%d' % i), i) for i in range(1, 4)], vdims=['Height']).options(
             padding=0.1
         )
         plot = mpl_renderer.get_plot(spikes)
         x_range, y_range = plot.handles['axis'].get_xlim(), plot.handles['axis'].get_ylim()
-        self.assertEqual(x_range[0], 736054.80000000005)
-        self.assertEqual(x_range[1], 736057.19999999995)
+        self.assertEqual(x_range[0], 16891.8)
+        self.assertEqual(x_range[1], 16894.2)
         self.assertEqual(y_range[0], 0)
         self.assertEqual(y_range[1], 3.2)
 
@@ -87,8 +87,8 @@ def test_spikes_padding_datetime_nonsquare(self):
         )
         plot = mpl_renderer.get_plot(spikes)
         x_range = plot.handles['axis'].get_xlim()
-        self.assertEqual(x_range[0], 736054.90000000002)
-        self.assertEqual(x_range[1], 736057.09999999998)
+        self.assertEqual(x_range[0], 16891.9)
+        self.assertEqual(x_range[1], 16894.1)
 
     ###########################
     #    Styling mapping      #

setup.py

@@ -26,15 +26,15 @@
 
 # IPython Notebook + pandas + matplotlib + bokeh
 extras_require["recommended"] = extras_require["notebook"] + [
-    "matplotlib >=2.2",
+    "matplotlib >=3",
     "bokeh >=1.1.0",
 ]
 
 # Requirements to run all examples
 extras_require["examples"] = extras_require["recommended"] + [
     "networkx",
     "pillow",
-    "xarray >=0.10.4,<0.17.0",
+    "xarray >=0.10.4",
     "plotly >=4.0",
     'dash >=1.16',
     "streamz >=0.5.0",
@@ -52,7 +52,7 @@
     extras_require["examples"].extend(
         [
             "spatialpandas",
-            "pyarrow <1.0",
+            "pyarrow",
             "ibis-framework >=1.3",
         ]  # spatialpandas incompatibility
     )
@@ -66,10 +66,10 @@
 extras_require['tests'] = [
     'nose',
     'mock',
-    'flake8 ==3.6.0',
+    'flake8',
     'coveralls',
     'path.py',
-    'matplotlib >=2.2,<3.1',
+    'matplotlib >=3',
     'nbsmoke >=0.2.0',
     'nbconvert <6',
     'twine',
@@ -81,7 +81,7 @@
 
 extras_require["basic_tests"] = (
     extras_require["tests"]
-    + ["matplotlib >=2.1", "bokeh >=1.1.0", "pandas"]
+    + ["matplotlib >=3", "bokeh >=1.1.0", "pandas"]
     + extras_require["notebook"]
 )
 
@@ -110,7 +110,8 @@
     "param >=1.7.0",
     "setuptools >=30.3.0",
     "pyct >=0.4.4",
-    "python <3.8",
+    "python <3.9",
+    "pip",
 ]
 
 # Everything for examples and nosetests