Adding annotations
Each of the enhancements we have covered can be combined together. In the next exercise, we can annotate our distribution plot to include lines that show the mean and median rent prices.
For this example, the palette has been changed to bright using
sns.set_palette()
Questo esercizio fa parte del corso
Intermediate Data Visualization with Seaborn
Istruzioni dell'esercizio
- Create a figure and axes.
- Plot the
fmr_1column distribution. - Add a vertical line using
axvlinefor themedianandmeanof the values which are already defined.
esercizio interattivo pratico
Prova questo esercizio completando questo codice di esempio.
# Create a figure and axes. Then plot the data
fig, ax = plt.subplots()
sns.histplot(df['fmr_1'], ax=ax)
# Customize the labels and limits
ax.set(____="1 Bedroom Fair Market Rent", xlim=(100,1500), title="US Rent")
# Add vertical lines for the median and mean
ax.axvline(x=____, color='m', label='Median', linestyle='--', linewidth=2)
ax.axvline(x=____, color='b', label='Mean', linestyle='-', linewidth=2)
# Show the legend and plot the data
ax.____()
plt.show()