Update ipydatagrid notebook

Signed-off-by: Itay Dafna <[email protected]>

Author: ibdafna

notebooks/07.03-ipydatagrid.ipynb

@@ -371,8 +371,7 @@
     "    \"Signal\": signal_column_formatting,\n",
     "    \"Return\": TextRenderer(background_color='seashell',\n",
     "                           text_color=VegaExpr('cell.value > 0 ? \"green\" : \"firebrick\"')\n",
-    "    ),\n",
-    "    \"Stock\": TextRenderer(background_color='seashell')\n",
+    "    )\n",
     "}\n",
     "\n",
     "conditional_grid = DataGrid(\n",
@@ -416,15 +415,15 @@
    "outputs": [],
    "source": [
     "columns_renderer = TextRenderer(\n",
-    "    background_color='honeydew',\n",
+    "    background_color='dimgray',\n",
     "    horizontal_alignment='center')\n",
     "\n",
     "renderers= {\n",
-    "    \"('Ticker', '')\": TextRenderer(background_color='honeydew')\n",
+    "    \"('Ticker', '')\": TextRenderer(background_color='dimgray')\n",
     "}\n",
     "\n",
     "default_renderer = TextRenderer(\n",
-    "    background_color=VegaExpr('cell.value > 0 ? \"azure\" : \"lavenderblush\"')\n",
+    "    background_color=VegaExpr('cell.value > 0 ? \"steelblue\" : \"seagreen\"')\n",
     ")\n",
     "\n",
     "nested_grid = DataGrid(nested_df,\n",
@@ -657,7 +656,7 @@
     "small_grid = DataGrid(small_df, \n",
     "                      editable=True, \n",
     "                      default_renderer=TextRenderer(\n",
-    "                          background_color=VegaExpr(\"cell.value === 1 ? 'limegreen' : 'moccasin'\")\n",
+    "                          background_color=VegaExpr(\"cell.value === 1 ? 'limegreen' : 'hotpink'\")\n",
     "                      ),\n",
     "                      layout={'height': '250px'})\n",
     "small_grid"
@@ -741,7 +740,9 @@
    "id": "8c454fb8",
    "metadata": {},
    "source": [
-    "#### An example with the BarRenderer"
+    "#### An example with the BarRenderer\n",
+    "\n",
+    "Renders cell values as horizontal bars based on a scale. `ipydatagrid` has two renderers - `TextRenderer`, which is the default one we've seen, and `BarRenderer`, which we will use now."
    ]
   },
   {
@@ -795,6 +796,16 @@
     "slider"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6ab2857d-60be-46e2-8402-6f6b8edb7c33",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "color_scale.min"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "b78005c8",
@@ -824,25 +835,18 @@
    "source": [
     "from bqplot import LinearScale, Axis, Figure, Lines, CATEGORY10\n",
     "from ipywidgets import HBox, Layout\n",
-    "\n",
-    "def plot_stock(e):\n",
-    "    line.y = stock_grid.selected_cell_values\n",
-    "    line.x = range(len(line.y))\n",
-    "    line.labels = [e['column']]\n",
-    "    line.colors = [CATEGORY10[np.random.randint(0, len(CATEGORY10)) % len(CATEGORY10)]]\n",
     "    \n",
+    "# Setting up the data grid\n",
     "stock_grid = DataGrid(stock_df, selection_mode='column')\n",
     "\n",
-    "# Event listener for cell click\n",
-    "stock_grid.on_cell_click(plot_stock)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "65ae20ea",
-   "metadata": {},
-   "source": [
-    "Setting up bqplot and ipywidgets objects"
+    "# Creating the bqplot chart objects\n",
+    "sc_x = LinearScale()\n",
+    "sc_y = LinearScale()\n",
+    "line = Lines(x=[], y=[], labels=['Fake stock price'], display_legend=True,\n",
+    "                 scales={'x': sc_x, 'y': sc_y})\n",
+    "ax_x = Axis(scale=sc_x, label='Index')\n",
+    "ax_y = Axis(scale=sc_y, orientation='vertical', label='y-value')\n",
+    "fig = Figure(marks=[line], axes=[ax_x, ax_y], title='Line Chart', layout=Layout(flex='1 1 auto', width='100%'))"
    ]
   },
   {
@@ -852,15 +856,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
-    "# Creating the bqplot chart objects\n",
-    "sc_x = LinearScale()\n",
-    "sc_y = LinearScale()\n",
-    "line = Lines(x=[], y=[], labels=['Fake stock price'], display_legend=True,\n",
-    "                 scales={'x': sc_x, 'y': sc_y})\n",
-    "ax_x = Axis(scale=sc_x, label='Index')\n",
-    "ax_y = Axis(scale=sc_y, orientation='vertical', label='y-value')\n",
-    "fig = Figure(marks=[line], axes=[ax_x, ax_y], title='Line Chart', layout=Layout(flex='1 1 auto', width='100%'))"
+    "def plot_stock(e=None):\n",
+    "    line.y = stock_grid.selected_cell_values\n",
+    "    line.x = range(len(line.y))\n",
+    "    line.labels = [e['column']]\n",
+    "    line.colors = [CATEGORY10[np.random.randint(0, len(CATEGORY10)) % len(CATEGORY10)]]\n",
+    "    \n",
+    "# Event listener for cell click\n",
+    "stock_grid.on_cell_click(plot_stock)"
    ]
   },
   {
@@ -874,6 +877,14 @@
     "    [stock_grid, fig]\n",
     ")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "100aec93-89b1-48d8-9077-0cc0d5fc48ac",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {