fix example

Author: ibdafna

examples/ConditionalFormatting.ipynb

@@ -16,24 +16,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "84885f1b70774e11a322cfd4bbc9b13f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "DataGrid(base_column_size=150, default_renderer=TextRenderer(background_color=VegaExpr(value=\"cell.value[1] ==…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "from ipydatagrid import DataGrid, TextRenderer, VegaExpr\n",
@@ -49,24 +34,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fdccc87c437542ff9e37af623ea79794",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "DataGrid(base_column_size=150, default_renderer=TextRenderer(background_color=VegaExpr(value=\"cell.value[1] ==…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "from ipydatagrid import DataGrid, TextRenderer, VegaExpr\n",
@@ -83,24 +53,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "DataGrid(base_column_size=150, default_renderer=TextRenderer(background_color=VegaExpr(value=\"cell.value[1] ==…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "from ipydatagrid import DataGrid, TextRenderer, VegaExpr\n",
@@ -117,24 +72,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "89275c595316461eadbbb89797fa2cce",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "DataGrid(base_column_size=150, default_renderer=TextRenderer(background_color=VegaExpr(value=\"cell.value[1] ==…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "from ipydatagrid import DataGrid, TextRenderer, VegaExpr\n",
@@ -157,26 +97,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {
     "scrolled": false
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "93307ccc70b0495cb6311f9c588a52b3",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "DataGrid(base_column_size=300, base_row_size=30, default_renderer=TextRenderer(), header_renderer=None, layout…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Imports\n",
     "import json\n",
@@ -198,7 +123,7 @@
     "\n",
     "# Formatting the values in column 1 based on the value of the silbing row in column 2\n",
     "def format_based_on_other_column(cell):\n",
-    "    return 'green' if cell.metadata.data['Column 1'] > 0.0 else 'yellow'\n",
+    "    return 'green' if cell.metadata.data['Column 2'] > 0.0 else 'yellow'\n",
     "\n",
     "column1_formatting = TextRenderer(\n",
     "    text_color='black',\n",
@@ -223,24 +148,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6665f2c0fe7d40b4a2a7d136b5b858e1",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "DataGrid(base_column_size=90, default_renderer=TextRenderer(background_color=Expr(value='(((cell.value > -0) &…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import ipydatagrid as ipg\n",
     "import pandas as pd\n",
@@ -269,24 +179,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a8d18e6910a74f3ea9cfa3dfb7ec21d5",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "DataGrid(base_column_size=300, base_row_size=30, default_renderer=TextRenderer(), header_renderer=None, layout…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "def format_based_on_other_column(cell):\n",
     "    return 'green' if cell.column == 0 and cell.metadata.data['Signal'] == \"Buy\" else 'red'\n",
@@ -315,24 +210,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6b70839957b74d79a79818c94ca8654c",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "DataGrid(base_column_size=300, base_row_size=30, default_renderer=TextRenderer(), header_renderer=None, layout…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "\n",