cleanup

examples/Tutorials/Linking Plots With Widgets.ipynb

@@ -20,7 +20,7 @@
     "* `bqplot` is built on top of the `ipywidgets` framework\n",
     "* `ipwidgets` and `bqplot` widgets can be seamlessly integrated to build interactive plots\n",
     "* `bqplot` figure widgets can be stacked with UI controls available in `ipywidgets` by using `Layout` classes (Box, HBox, VBox) in `ipywidgets`\n",
-    "(Not that *only* `Figure` objects (not `Mark` objects) inherit from `DOMWidget` class, and so can be combined with other widgets from `ipywidgets`)\n",
+    "(Note that *only* `Figure` objects (not `Mark` objects) inherit from `DOMWidget` class and can be combined with other widgets from `ipywidgets`)\n",
     "* Trait attributes of widgets can be linked using callbacks. Callbacks should be registered using the `observe` method\n",
     "\n",
     "Please follow these links for detailed documentation on:\n",
@@ -83,7 +83,7 @@
     "update_btn = Button(description='Update', button_style='success')\n",
     "\n",
     "# create a figure widget\n",
-    "fig = plt.figure(animation_duration=750)\n",
+    "fig1 = plt.figure(animation_duration=750)\n",
     "line = plt.plot(y)\n",
     "\n",
     "# define an on_click function\n",
@@ -95,7 +95,7 @@
     "update_btn.on_click(lambda btn: on_btn_click())\n",
     "    \n",
     "# stack button and figure using VBox\n",
-    "VBox([fig, update_btn])"
+    "VBox([fig1, update_btn])"
    ]
   },
   {
@@ -145,8 +145,8 @@
     "# create figure for plotting time series\n",
     "current_ticker = dropdown.value\n",
     "fig_title_tmpl = '\"{}\" Time Series' # string template for title of the figure \n",
-    "fig = plt.figure(title=fig_title_tmpl.format(current_ticker))\n",
-    "fig.layout.width = '900px'\n",
+    "fig2 = plt.figure(title=fig_title_tmpl.format(current_ticker))\n",
+    "fig2.layout.width = '900px'\n",
     "time_series = plt.plot(dates, prices[current_ticker])\n",
     "plt.xlabel('Date')\n",
     "plt.ylabel('Price')\n",
@@ -160,13 +160,13 @@
     "    time_series.y = prices[selected_ticker]\n",
     "    \n",
     "    # update the title of the figure\n",
-    "    fig.title = fig_title_tmpl.format(selected_ticker)\n",
+    "    fig2.title = fig_title_tmpl.format(selected_ticker)\n",
     "\n",
     "# 2. register the callback by using the 'observe' method\n",
     "dropdown.observe(update_plot, 'value')\n",
     "\n",
     "# stack the dropdown and fig widgets using VBox\n",
-    "VBox([dropdown, fig])"
+    "VBox([dropdown, fig2])"
    ]
   },
   {
@@ -201,7 +201,7 @@
     "\n",
     "# set up fig_margin to allow space to display color bar\n",
     "fig_margin = dict(top=20, bottom=40, left=60, right=80)\n",
-    "fig = plt.figure(animation_duration=1000, fig_margin=fig_margin)\n",
+    "fig3 = plt.figure(animation_duration=1000, fig_margin=fig_margin)\n",
     "\n",
     "# custom axis options for color data\n",
     "axes_options = {'color': {'tick_format': '%m/%y', \n",
@@ -237,7 +237,7 @@
     "y_dropdown.observe(update_scatter, 'value')\n",
     "\n",
     "# stack the dropdown and fig widgets using VBox\n",
-    "VBox([HBox([x_dropdown, y_dropdown]), fig])"
+    "VBox([HBox([x_dropdown, y_dropdown]), fig3])"
    ]
   }
  ],