Notebook Plot with Spinner.py

"""
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_options.observe(update_plot, names='value')

display(dropdown_options)
display(plot_output)
plot_some_grid(dta, 'FILTER VALUE')