Bee swarm plot

Make a bee swarm plot of the iris petal lengths. Your x-axis should contain each of the three species, and the y-axis the petal lengths. A data frame containing the data is in your namespace as df.

For your reference, the code Justin used to create the bee swarm plot in the video is provided below:

_ = sns.swarmplot(x='state', y='dem_share', data=df_swing)
_ = plt.xlabel('state')
_ = plt.ylabel('percent of vote for Obama')
plt.show()

You can use help(sns.swarmplot) for more details on how to make bee swarm plots using seaborn.

Questo esercizio fa parte del corso

Statistical Thinking in Python (Part 1)

Visualizza il corso

Istruzioni dell'esercizio

Inspect the DataFrame df using df.head(). This will let you identify which column names you need to pass as the x and y keyword arguments in your call to sns.swarmplot().
Use sns.swarmplot() to make a bee swarm plot from the DataFrame containing the Fisher iris data set, df. The x-axis should contain each of the three species, and the y-axis should contain the petal lengths.
Label the axes.
Show your plot.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Create bee swarm plot with Seaborn's default settings


# Label the axes


# Show the plot

Modifica ed esegui il codice