Implement @smeragoel's table designs

docs/examples/pydata.ipynb

@@ -8,8 +8,13 @@
     "\n",
     "This theme has built-in support and special styling for several major visualization libraries in the PyData ecosystem.\n",
     "This ensures that the images and output generated by these libraries looks good for both light and dark modes.\n",
-    "Below are examples of each that we use as a benchmark for reference.\n",
-    "\n",
+    "Below are examples of each that we use as a benchmark for reference."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "## Pandas"
    ]
   },
@@ -30,6 +35,46 @@
     "df"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## IPyWidget"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import ipywidgets as widgets\n",
+    "from IPython.display import display\n",
+    "\n",
+    "tab = widgets.Tab()\n",
+    "\n",
+    "descr_str = \"Hello\"\n",
+    "\n",
+    "title = widgets.HTML(descr_str)\n",
+    "\n",
+    "# create output widgets\n",
+    "widget_images = widgets.Output()\n",
+    "widget_annotations = widgets.Output()\n",
+    "\n",
+    "# render in output widgets\n",
+    "with widget_images:\n",
+    "    display(pd.DataFrame(np.random.randn(10,10)))\n",
+    "with widget_annotations:\n",
+    "    display(pd.DataFrame(np.random.randn(10,10)))\n",
+    "\n",
+    "tab.children = [widget_images, widget_annotations]\n",
+    "tab.titles = [\"Images\", \"Annotations\"]\n",
+    "\n",
+    "display(widgets.VBox([title, tab]))"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -143,7 +188,7 @@
   },
   "language_info": {
    "name": "python",
-   "version": "3.10.8"
+   "version": "3.11.6"
   }
  },
  "nbformat": 4,

src/pydata_sphinx_theme/assets/styles/abstracts/_mixins.scss

@@ -20,3 +20,37 @@
   border-radius: 0.25rem;
   padding: 0.5rem;
 }
+
+@mixin table-colors {
+  color: var(--pst-color-table);
+  border: 1px solid var(--pst-color-table-outer-border);
+
+  th,
+  td {
+    ~ th,
+    ~ td {
+      border-left: 1px solid var(--pst-color-table-inner-border);
+    }
+  }
+
+  thead {
+    tr {
+      background-color: var(--pst-color-table-heading-bg);
+      border-bottom: 2px solid var(--pst-color-primary);
+    }
+  }
+
+  tbody {
+    tr {
+      &:nth-child(odd) {
+        background-color: var(--pst-color-table-row-zebra-low-bg);
+      }
+      &:nth-child(even) {
+        background-color: var(--pst-color-table-row-zebra-high-bg);
+      }
+      &:hover {
+        background-color: var(--pst-color-table-row-hover-bg);
+      }
+    }
+  }
+}

src/pydata_sphinx_theme/assets/styles/content/_tables.scss

@@ -4,6 +4,8 @@
 
 // ensure table will fit in the article width and make them y-scrollable
 table {
+  @include table-colors;
+
   display: table;
   overflow: auto;
 
@@ -46,6 +48,8 @@ td {
 
 // override bootstrap table colors
 .table {
+  @include table-colors;
+
   --bs-table-bg: transparent; //background
   --bs-table-color: var(
     --pst-color-text-base

src/pydata_sphinx_theme/assets/styles/extensions/_notebooks.scss

@@ -17,15 +17,27 @@ html .jp-RenderedHTMLCommon {
   }
 }
 
-// Dark theme special-cases
-html[data-theme="dark"] .bd-content {
-  .nboutput {
-    .output_area.rendered_html {
-      @include cell-output-background;
+.bd-content .nboutput {
+  .output_area {
+    &.rendered_html,
+    .jp-RenderedHTMLCommon {
+      // pandas
+      table.dataframe {
+        @include table-colors;
+      }
     }
 
-    .output_area.stderr {
-      background-color: var(--pst-color-danger);
+    // Dark theme special-cases
+    html[data-theme="dark"] & {
+      &.rendered_html:not(:has(table.dataframe)),
+      // ipywidgets
+      .widget-subarea {
+        @include cell-output-background;
+      }
+
+      &.stderr {
+        background-color: var(--pst-color-danger);
+      }
     }
   }
 }
@@ -44,11 +56,17 @@ div.cell_output .output {
   overflow-x: auto;
 }
 
-// Dark theme special-cases
-html[data-theme="dark"] .bd-content {
-  div.cell_output {
+.bd-content div.cell_output {
+  // pandas
+  table.dataframe {
+    @include table-colors;
+  }
+
+  html[data-theme="dark"] & {
     img,
-    .text_html {
+    .text_html:not(:has(table.dataframe)),
+    // ipywidgets
+    .widget-subarea {
       @include cell-output-background;
     }
   }

src/pydata_sphinx_theme/assets/styles/variables/_color.scss

@@ -203,6 +203,18 @@ $pst-semantic-colors: (
     "light": #f3cf95,
     "dark": #675c04,
   ),
+  "table": (
+    "light": #{map-deep-get($color-palette, "foundation", "black")},
+    "dark": #{map-deep-get($color-palette, "foundation", "white")},
+  ),
+  "table-row-hover": (
+    "bg-light": #{map-deep-get($color-palette, "violet", "300")},
+    "bg-dark": #{map-deep-get($color-palette, "violet", "600")},
+  ),
+  "table-inner-border": (
+    "light": #{map-deep-get($color-palette, "gray", "200")},
+    "dark": #364150,
+  ),
   // DEPTH COLORS - you can see the elevation colours and shades
   // in the Figma file https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1492%3A922&t=sQeQZehkOzposYEg-1
   // background: color of the canvas / the furthest back layer
@@ -265,6 +277,10 @@ $pst-semantic-colors: (
   & {
     --pst-color-link: var(--pst-color-primary);
     --pst-color-link-hover: var(--pst-color-secondary);
+    --pst-color-table-outer-border: var(--pst-color-surface);
+    --pst-color-table-heading-bg: var(--pst-color-surface);
+    --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);
+    --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);
   }
   // adapt to light/dark-specific content
   @if $mode == "light" {