Customizing visualizations

So far, all of the code we've learned for creating data visualizations has been for making the visualization itself. Now that we have a strong foundation, we are ready to learn how to add reference lines, control colors and textures, and include annotations.

In the 3-customizing_visualizations.ipynb notebook, let's handle our imports and read in the Facebook stock prices and earthquake datasets:

>>> %matplotlib inline
>>> import matplotlib.pyplot as plt
>>> import pandas as pd
>>> fb = pd.read_csv(
...     'data/fb_stock_prices_2018.csv', 
...     index_col='date', 
...     parse_dates=True
... )
>>> quakes = pd.read_csv('data/earthquakes.csv')

Tip

Changing the style in which the plots are created is an easy way to change their look and feel without setting each aspect separately. To set...