Green with envy

gistfile1.py

from random import gauss

from IPython.display import clear_output
from IPython.html import widgets
from IPython.utils.traitlets import link
import matplotlib.pyplot as plt
import seaborn as sns

%matplotlib inline

gaussian = [gauss(2, 0.5) for x in range(0, 1000)]
hist_plot = plt.hist(gaussian, bins=10)
select_widget = widgets.Select(value="10", options=["10", "20", "30"],
                               height=60)
radio_widget = widgets.RadioButtons(value="10", options=["10", "20", "30"])

# Callback function to clear our cell, create a new histogram
def change_plot_bins(trait_name, old_bin_ct, new_bin_ct):
    int_bin_ct = int(new_bin_ct)
    # Clear the old histogram, maintain cell size for the new
    clear_output(wait=True)
    plt.hist(gaussian, int_bin_ct)
    
select_widget.on_trait_change(change_plot_bins, "value")
radio_widget.on_trait_change(change_plot_bins, "value")
link((select_widget, "value"), (radio_widget, "value"))
widgets.HBox(children=[select_widget, radio_widget])