Move nested hierarchies test in its own notebook

Author: martinRenou

ui-tests-ipw8/tests/notebooks/datagrid_nested_hierarchies.ipynb

@@ -0,0 +1,67 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "30354eb9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import ipydatagrid as g\n",
+    "\n",
+    "# merging of lower level row headers\n",
+    "col_top_level = [\n",
+    "    \"VeryLongValueFactors\",\n",
+    "    \"VeryLongValueFactors\",\n",
+    "    \"Even Longer Momentum Factors\",\n",
+    "    \"Even Longer Momentum Factors\",\n",
+    "]\n",
+    "col_bottom_level = [\"Factor_A\", \"Factor_B\", \"Factor_C\", \"Factor_D\"]\n",
+    "# Rows\n",
+    "row_top_level = [\"Sector 1\", \"Sector 1\", \"Sector 2\", \"Sector 2\", \"Sector 3\"]\n",
+    "row_bottom_level = [\"Security A\", \"Security B\", \"Security C\", \"Security C\", \"Security C\"]\n",
+    "\n",
+    "nested_df = pd.DataFrame(\n",
+    "    np.random.randn(5, 4).round(4),\n",
+    "    columns=pd.MultiIndex.from_arrays([col_top_level, col_bottom_level]),\n",
+    "    index=pd.MultiIndex.from_arrays(\n",
+    "        [row_top_level, row_bottom_level], names=(\"Sector\", \"Ticker\")\n",
+    "    ),\n",
+    ")\n",
+    "\n",
+    "nested_grid = g.DataGrid(\n",
+    "    nested_df,\n",
+    "    base_column_size=80,\n",
+    "    base_column_header_size=35,\n",
+    "    base_row_header_size=80,\n",
+    "    layout={\"height\": \"180px\"}\n",
+    ")\n",
+    "\n",
+    "nested_grid"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

ui-tests-ipw8/tests/notebooks/datagrid_nested_hierarchies_update.ipynb

@@ -112,40 +112,6 @@
     "new_df = pd.DataFrame(columns=nested_df.columns, index=nested_df.index, data=np.arange(-8,8,1).reshape(4,4))\n",
     "nested_grid.data = new_df"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "75c686ed-5e66-4636-a27b-56f1eb48ad41",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# merging of lower level row headers\n",
-    "\n",
-    "# Rows\n",
-    "row_top_level = [\"Sector 1\", \"Sector 1\", \"Sector 2\", \"Sector 2\", \"Sector 3\"]\n",
-    "row_bottom_level = [\"Security A\", \"Security B\", \"Security C\", \"Security C\", \"Security C\"]\n",
-    "\n",
-    "nested_df = pd.DataFrame(\n",
-    "    np.random.randn(5, 4).round(4),\n",
-    "    columns=pd.MultiIndex.from_arrays([col_top_level, col_bottom_level]),\n",
-    "    index=pd.MultiIndex.from_arrays(\n",
-    "        [row_top_level, row_bottom_level], names=(\"Sector\", \"Ticker\")\n",
-    "    ),\n",
-    ")\n",
-    "\n",
-    "nested_grid = g.DataGrid(\n",
-    "    nested_df,\n",
-    "    base_column_size=80,\n",
-    "    base_column_header_size=35,\n",
-    "    base_row_header_size=80,\n",
-    "    layout={\"height\": \"180px\"},\n",
-    "    header_renderer=header_renderer,\n",
-    "    default_renderer=default_renderer,\n",
-    ")\n",
-    "\n",
-    "nested_grid"
-   ]
   }
  ],
  "metadata": {