jseabold · May 1, 2020 15:11 · May 1, 2020 · May 1, 2020
diff --git a/Notebook Plot with Spinner.py b/Notebook Plot with Spinner.py
@@ -56,7 +56,7 @@ def plot_some_grid(dta, filter_value):
 def update_plot(change):
     plot_some_grid(terms, change.new)
 
-dropdown_market.observe(update_plot, names='value')
+dropdown_options.observe(update_plot, names='value')
 
 display(dropdown_options)
 display(plot_output)

diff --git a/Notebook Plot with Spinner.py b/Notebook Plot with Spinner.py
@@ -0,0 +1,63 @@
+"""
+This took me a while to figure out so posting for posterity.
+
+plt.interactive(False) is important, if you want the grid to only show up
+when `display`ed. Since `sns.FacetGrid` can take a few seconds depending
+on the size of your data, this displays a spinner in the notebook cell
+until the new graph is ready to render.
+"""
+
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+from ipywidgets import widgets
+from IPython.display import display, clear_output, HTML
+
+spinner = """
+<style>
+.loader {
+  border: 16px solid #f3f3f3; /* Light grey */
+  border-top: 16px solid #3498db; /* Blue */
+  border-radius: 50%;
+  width: 120px;
+  height: 120px;
+  animation: spin 2s linear infinite;
+}
+
+@keyframes spin {
+  0% { transform: rotate(0deg); }
+  100% { transform: rotate(360deg); }
+}
+</style>
+
+<div style="margin-left:auto;margin-right:auto;margin-top:200px;margin-bottom:200px" class="loader"></div>"""
+
+plt.interactive(False)  # this is important
+plot_output = widgets.Output()
+
+dropdown_options = widgets.Dropdown(options=dta.ColumnName.unique())
+
+def plot_some_grid(dta, filter_value):
+    with plot_output:
+        clear_output(wait=True)
+        display(HTML(spinner))
+        clear_output(wait=True)
+        grid = sns.FacetGrid(
+            dta.query(f"ColumnName == '{filter_value}'"), 
+            col="OtherColumnName", 
+            col_wrap=4, 
+            height=3, 
+            aspect=2
+        )
+        bins = range(0, 12)
+        grid.map(plt.hist, "terms", bins=bins, edgecolor='white', linewidth=1)
+        plt.show()
+
+def update_plot(change):
+    plot_some_grid(terms, change.new)
+
+dropdown_market.observe(update_plot, names='value')
+
+display(dropdown_options)
+display(plot_output)
+plot_some_grid(dta, 'FILTER VALUE')