Various minor docs fixes

.github/workflows/docs.yaml

@@ -40,7 +40,7 @@ jobs:
       - uses: conda-incubator/setup-miniconda@v2
         with:
           mamba-version: "*"
-          channels: pyviz/label/dev,conda-forge,nodefaults
+          channels: pyviz/label/dev,conda-forge
       - name: Fetch unshallow
         run: git fetch --prune --tags --unshallow -f
       - name: Set and echo git ref
@@ -50,6 +50,7 @@ jobs:
           echo "tag=${GITHUB_REF#refs/*/}" >> $GITHUB_OUTPUT
       - name: conda setup
         run: |
+          conda config --remove channels defaults
           conda create -n test-environment python=3.8 pyctdev
       - name: doit develop_install
         run: |

.pre-commit-config.yaml

@@ -26,6 +26,6 @@ repos:
         args: [hvplot]
         files: hvplot/
 -   repo: https://github.com/hoxbro/clean_notebook
-    rev: v0.1.9
+    rev: v0.1.10
     hooks:
     - id: clean-notebook

doc/conf.py

@@ -21,6 +21,10 @@
     'custom.css'
 ]
 
+html_js_files = [
+    'https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js',
+]
+
 html_theme_options.update({
     "github_url": "https://github.com/holoviz/hvplot",
     "icon_links": [

examples/reference/pandas/hist.ipynb

@@ -88,7 +88,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [

examples/user_guide/Plotting_Extensions.ipynb

@@ -3,6 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "2ce662e1",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11,6 +12,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "bd615c60",
    "metadata": {},
    "source": [
     "hvPlot allows to generate plots with three different plotting extensions: [Bokeh](https://docs.bokeh.org), [Matplotlib](https://matplotlib.org/) and [Plotly](https://plotly.com/). Support for Maplotlib and Plotly was added in version 0.8.0, before which Bokeh was the only option available and is as such kept as the default plotting extension.\n",
@@ -23,6 +25,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "78a9f5b8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -32,6 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "615a4574",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -41,6 +45,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "2d4aa473",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -49,6 +54,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "9724c0af",
    "metadata": {},
    "source": [
     "## Switching the plotting extension\n",
@@ -59,6 +65,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "66ba89b0",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -69,6 +76,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "0111ae1a",
    "metadata": {},
    "source": [
     "<div class=\"alert alert-warning\" role=\"alert\">\n",
@@ -78,6 +86,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "20eb7da9",
    "metadata": {},
    "source": [
     "## Plot styling options\n",
@@ -88,6 +97,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "0282171e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -98,6 +108,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "6078c7ba",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -107,6 +118,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "bcf1f408",
    "metadata": {},
    "source": [
     "It is also possible to generates plots with either Matplotlib or Plotly that are constructed with Bokeh options. This can be used for instance to create plots previously generated with Bokeh with another backend, without having to change any parameter. The only change required is to declare Bokeh as the compatible extension with `hvplot.extension('matplotlib', compatibility='bokeh')`, preferably at the beginning of the notebook."
@@ -115,6 +127,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "21701d52",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -126,6 +139,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "1371e7df",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -134,20 +148,23 @@
   },
   {
    "cell_type": "markdown",
+   "id": "96ed79b6",
    "metadata": {},
    "source": [
     "You can see that `line_dash='dashed'` has been internally converted to `linestyle='dashed'` that is a valid option for the Matplotlib plotting extension. Note that support for all Bokeh options is currently incomplete and will continue to be improved while equivalent support for Plotly and Matplotlib is planned for a future release"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "3ac83784",
    "metadata": {},
    "source": [
     "## Obtaining the underlying figure object "
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "706832e4",
    "metadata": {},
    "source": [
     "In some cases it can be convenient to construct a plot with hvPlot and then get a handle on the figure object of the underlying plotting library to further customize the plot or to embed it in some more complex application. The `render` function allows to get a handle on the figure object. The following examples show that it's possible to use the API of Bokeh, Matplotlib or Plotly to update the title of the `violent_crime` plot."
@@ -156,6 +173,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "c20891e6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -165,6 +183,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "d2f09071",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -178,6 +197,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "5753ad3a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -191,6 +211,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "3fbf40c6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -203,6 +224,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "fb4230a0",
    "metadata": {},
    "source": [
     "As demonstrated on this page hvPlot offers you the ability to choose your favorite plotting extension among those supported by [HoloViews](https://holoviews.org/), on which hvPlot is built."