chore!: Remove deprecated parameters (#6819)

Author: hoxbro

examples/gallery/demos/bokeh/choropleth_data_link.ipynb

@@ -75,7 +75,7 @@
     "(choropleth + table).opts(\n",
     "    opts.Table(height=428),\n",
     "    opts.Polygons(width=500, height=500,  tools=['hover', 'tap'], xaxis=None,\n",
-    "                  yaxis=None, color_index='Unemployment'))"
+    "                  yaxis=None, color='Unemployment'))"
    ]
   }
  ],

examples/gallery/demos/bokeh/dot_example.ipynb

@@ -51,7 +51,7 @@
    "source": [
     "(heatmap + spikes * scatter).opts(\n",
     "    opts.Scatter(size=15, fill_color=\"orange\", line_color=\"green\"),\n",
-    "    opts.Spikes(color='green', line_width=4, labelled=[], invert_axes=True, color_index=None),\n",
+    "    opts.Spikes(color='green', line_width=4, labelled=[], invert_axes=True),\n",
     "    opts.Layout(shared_axes=False))"
    ]
   }

examples/gallery/demos/bokeh/network_graph.ipynb

@@ -61,7 +61,7 @@
     "fb_graph = fb_graph.redim.range(x=(-0.05, 1.05),\n",
     "                                y=(-0.05, 1.05)\n",
     "                               )\n",
-    "fb_graph.opts(color_index='circle', width=800, height=800, show_frame=False,\n",
+    "fb_graph.opts(node_color='circle', width=800, height=800, show_frame=False,\n",
     "                 xaxis=None, yaxis=None,node_size=10, edge_line_width=1, cmap=colors)"
    ]
   }

examples/gallery/demos/bokeh/square_limit.ipynb

@@ -145,5 +145,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

examples/gallery/demos/bokeh/texas_choropleth_example.ipynb

@@ -62,7 +62,7 @@
     "choropleth.opts(\n",
     "    opts.Polygons(logz=True, tools=['hover'], xaxis=None, yaxis=None,\n",
     "                   show_grid=False, show_frame=False, width=500, height=500,\n",
-    "                   color_index='Unemployment', colorbar=True, toolbar='above', line_color='white'))"
+    "                   color=\"Unemployment\", colorbar=True, toolbar='above', line_color='white'))"
    ]
   }
  ],

examples/reference/elements/bokeh/Graph.ipynb

@@ -120,7 +120,7 @@
    "source": [
     "#### Additional features\n",
     "\n",
-    "Next we will extend this example by supplying explicit edges, node information and edge weights. By constructing the ``Nodes`` explicitly we can declare an additional value dimensions, which are revealed when hovering and/or can be mapped to the color by specifying the ``color_index``. We can also associate additional information with each edge by supplying a value dimension to the ``Graph`` itself, which we can map to a color using the ``edge_color_index``."
+    "Next we will extend this example by supplying explicit edges, node information and edge weights. By constructing the ``Nodes`` explicitly we can declare an additional value dimensions, which are revealed when hovering and/or can be mapped to the color using the ``node_color`` option. We can also associate additional information with each edge by supplying a value dimension to the ``Graph`` itself, which we can map to a color using the ``edge_color`` option."
    ]
   },
   {

examples/reference/elements/matplotlib/Labels.ipynb

@@ -56,7 +56,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "If the value dimension of the data is not already of string type it will be formatted using the applicable entry in ``Dimension.type_formatters`` or an explicit ``value_format`` defined on the Dimension. Additionally the ``color_index`` option allows us to colormap the text by a dimension.\n",
+    "If the value dimension of the data is not already of string type it will be formatted using the applicable entry in ``Dimension.type_formatters`` or an explicit ``value_format`` defined on the Dimension. Additionally the ``color`` option allows us to colormap the text by a dimension.\n",
     "\n",
     "Here we will create a 2D array of values, define a Dimension with a formatter and then colormap the text:"
    ]

holoviews/annotators.py

@@ -478,7 +478,7 @@ def _process_element(self, element=None):
 
         # Add options to element
         tools = [tool() for tool in self._tools]
-        opts = dict(tools=tools, color_index=None, **self.default_opts)
+        opts = dict(tools=tools, **self.default_opts)
         opts.update(self._extra_opts)
         return element.options(
             **{k: v for k, v in opts.items() if k not in element.opts.get("plot").kwargs}

holoviews/operation/datashader.py

@@ -24,7 +24,6 @@
     NdOverlay,
     Operation,
     Overlay,
-    Store,
 )
 from ..core.data import (
     DaskInterface,
@@ -2341,11 +2340,7 @@ def _validate(cls, raster):
 
     @classmethod
     def _element(cls, raster, df):
-        polygons = Polygons(df, kdims=raster.kdims, vdims=cls._vdims(raster, df))
-        if Store.loaded_backends() != []:
-            return polygons.opts(color_index=None)
-        else:
-            return polygons
+        return Polygons(df, kdims=raster.kdims, vdims=cls._vdims(raster, df))
 
     @classmethod
     def _sort_by_distance(cls, raster, df, x, y):

holoviews/plotting/bokeh/annotation.py

@@ -180,15 +180,6 @@ class LabelsPlot(ColorbarPlot, AnnotationPlot):
         doc="Amount of offset to apply to labels along x-axis.",
     )
 
-    # Deprecated options
-
-    color_index = param.ClassSelector(
-        default=None,
-        class_=(str, int),
-        allow_None=True,
-        doc="Deprecated in favor of color style mapping, e.g. `color=dim('color')`",
-    )
-
     selection_display = BokehOverlaySelectionDisplay()
 
     style_opts = [
@@ -225,19 +216,6 @@ def get_data(self, element, ranges, style):
         self._categorize_data(data, (xdim, ydim), element.dimensions())
 
         self._get_hover_data(data, element)
-
-        cdim = element.get_dimension(self.color_index)
-        if cdim is None:
-            return data, mapping, style
-
-        cdata, cmapping = self._get_color_data(element, ranges, style, name="text_color")
-        if dims[2] is cdim and cdata:
-            # If color dim is same as text dim, rename color column
-            data["text_color"] = cdata[tdim]
-            mapping["text_color"] = dict(cmapping["text_color"], field="text_color")
-        else:
-            data.update(cdata)
-            mapping.update(cmapping)
         return data, mapping, style