Add customization for the subplots example

doc/user_guide/Plotting_with_Matplotlib.ipynb

@@ -635,6 +635,45 @@
     " crime.hvplot.table(['Year', 'Population', 'Violent Crime rate'], width=420))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can further enhance the plot by using a `step`s chart instead of a `bar` chart to avoid visual clutter and better represent the continuous nature of time series data. Additionally, we can display a table summarizing decade-averaged statistics to provide a quick overview of the data. The `sublabel` format and size can be customized, and if not needed, can be removed by setting `sublabel_format=\"\"`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tabledata = (\n",
+    "    crime.assign(\n",
+    "        **{\n",
+    "            \"Decade\": (crime.Year // 10) * 10,  # Calculate decade for each year\n",
+    "            \"Population [mi]\": crime.Population / 1e6,  # Population in millions\n",
+    "        }\n",
+    "    )\n",
+    "    .groupby(\"Decade\")  # Group data by decade\n",
+    "    .mean()  # Calculate mean values for each decade group\n",
+    "    [[\"Population [mi]\", \"Violent Crime rate\"]]  # Select desired columns\n",
+    "    .astype(\"int\")  # Convert selected columns to integers\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "(\n",
+    "    crime.hvplot.step(x='Year', y='Violent Crime rate', rot=90, width=550)+\n",
+    "    tabledata.hvplot.table(['Decade', 'Population [mi]', 'Violent Crime rate'], width=15, height=10)\n",
+    ").opts(sublabel_format=\"{alpha})\", sublabel_size=14)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -680,9 +719,22 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "coringa",
+   "language": "python",
+   "name": "coringa"
+  },
   "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
    "name": "python",
-   "pygments_lexer": "ipython3"
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.15"
   }
  },
  "nbformat": 4,