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.

Cet exercice fait partie du cours

<cours>Statistical Thinking in Python (Part 1)</cours>

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Instructions de l’exercice

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.

Exercice interactif pratique

Essayez cet exercice en complétant ce code d’exemple.

# Create bee swarm plot with Seaborn's default settings


# Label the axes


# Show the plot

Modifier et exécuter le code