airbnb-histogram

# Create a histogram of listings

neighbourhood_list = df['neighbourhood_cleansed'].unique().tolist()
hist_data = []

for neighbourhood in neighbourhood_list:
    trace = go.Histogram(x = df.loc[df['neighbourhood_cleansed'] == neighbourhood].price.tolist(), opacity=0.75, name = neighbourhood)
    hist_data.append(trace)

layout = go.Layout(barmode='stack', xaxis = dict(title='Listing Price'), yaxis = dict(title='Count'))
fig = go.Figure(data=hist_data, layout=layout)

# refer to README.md for dependencies on displaying Plotly Figure in jupyter notebook https://plot.ly/python/static-image-export/
fig.show()