Interacting with IPython Notebook widgets

Interactive IPython notebook widgets are, at the time of writing (July 2015), an experimental feature. I, and as far as I know, many other people, hope that this feature will remain. In a nutshell, the widgets let you select values as you would with HTML forms. This includes sliders, drop-down boxes, and check boxes. As you can read, these widgets are very convenient for visualizing the weather data I introduced in Chapter 1, Laying the Foundation for Reproducible Data Analysis.

How to do it...

1. Import the following:

   import seaborn as sns
   import numpy as np
   import pandas as pd
   import matplotlib.pyplot as plt
   from IPython.html.widgets import interact
   from dautil import data
   from dautil import ts

2. Load the data and request inline plots:

   %matplotlib inline
   df = data.Weather.load()

3. Define the following function, which displays bubble plots:

   def plot_data(x='TEMP', y='RAIN', z='WIND_SPEED', f='A', size=10, cmap='Blues...