Exercise

# Add summary statistics to your time series plot

It is possible to visualize time series plots and numerical summaries on one single graph by using the `pandas`

API to `matplotlib`

along with the `table`

method:

```
# Plot the time series data in the DataFrame
ax = df.plot()
# Compute summary statistics of the df DataFrame
df_summary = df.describe()
# Add summary table information to the plot
ax.table(cellText=df_summary.values,
colWidths=[0.3]*len(df.columns),
rowLabels=df_summary.index,
colLabels=df_summary.columns,
loc='top')
```

Instructions

**100 XP**

Review `meat_mean`

in the shell -- a DataFrame that contains the mean of all the time series in `meat`

.

- Assign all the values in
`meat_mean`

to the`cellText`

argument. - Assign all the values in index of
`meat_mean`

to the`rowLabels`

argument. - Assign the column names of
`meat_mean`

to the`colLabels`

argument.