Making a facet grid plot
In the previous exercise, you wrote the following code:
# Subset tech and fmcg companies
subset_dat = dataset.loc[dataset["comp_type"].isin(["tech", "fmcg"])]
# Compute yearly average gross margin ratio of tech and fmcg companies
subset_dat_avg = subset_dat.pivot_table(index=["Year", "comp_type"], values = "gross_margin").reset_index()
#Add column company
subset_dat_avg["company"] = np.where(subset_dat_avg["comp_type"]=="tech", "Avg tech", "Avg fmcg")
#Concat the DataFrames
plot_df = pd.concat([subset_dat, subset_dat_avg], axis=0)
The code prepared the data to make the following plot:
Now it's time to make the plot.
This exercise is part of the course
Analyzing Financial Statements in Python
Exercise instructions
- Use the DataFrame
plot_dfto make the facet grid plot in the description usingseaborn.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Make the plot
sns.relplot(data=plot_df.reset_index(drop=True), ____)
plt.show()
plt.close()