Skip to content

Course Notes

Use this workspace to take notes, store code snippets, or build your own interactive cheatsheet! For courses that use data, the datasets will be available in the datasets folder.

Create conditions, a list containing subsets of planes["Duration"] based on short_flights, medium_flights, and long_flights. Create the "Duration_Category" column by calling a function that accepts your conditions list and flight_categories, setting values not found to "Extreme duration". Create a plot showing the count of each category.





# Import any packag# Create conditions for values in flight_categories to be created
conditions = [
    (planes["Duration"].str.contains(short_flights)),
    (planes["Duration"].str.contains(medium_flights)),
    (planes["Duration"].str.contains(long_flights))
]

# Apply the conditions list to the flight_categories
planes["Duration_Category"] = np.select(conditions, 
                                        flight_categories,
                                        default="Extreme duration")

# Plot the counts of each category
sns.countplot(data=planes, x="Duration_Category")
plt.show()es you want to use here

Take Notes

Add notes here about the concepts you've learned and code cells with code you want to keep.

Add your notes here

# Add your code snippets here