Hands-On Exploratory Data Analysis with Python

Average emails per day and hour

Let's answer the rest of the questions, taking a look at the average number of emails per day and per hour:

1. To do so, we will create two functions, one that counts the total number of emails per day and one that plots the average number of emails per hour:

def plot_number_perday_per_year(df, ax, label=None, dt=0.3, **plot_kwargs):    year = df[df['year'].notna()]['year'].values    T = year.max() - year.min()    bins = int(T / dt)    weights = 1 / (np.ones_like(year) * dt * 365.25)    ax.hist(year, bins=bins, weights=weights, label=label, **plot_kwargs);    ax.grid(ls=':', color='k')

The preceding code creates a function that plots the average number of emails per day. Similarly, let's create a function that plots the average ...