A DataFrame built from a list repeated twice

The code puts the daily usage time of two apps into a long-format DataFrame and adds up the usage time for each app. Each row of the DataFrame is one app's usage time (in minutes) for one day.

Predict the output without running the code.

Code

import pandas as pd

usage = pd.DataFrame({
    "day": ["Mon", "Tue", "Wed"] * 2,
    "app": ["Video"] * 3 + ["Chat"] * 3,
    "minutes": [95, 80, 110, 40, 55, 35],
})
print(len(usage))
print(usage["day"].tolist())
totals = usage.groupby("app", as_index=False)["minutes"].sum()
print(totals["app"].tolist())
print(totals["minutes"].tolist())