max_depressive = df.loc[df["Year"] == 2019, ["Depressive", "Year", "Entity"]].sort_values(by="Depressive", ascending=False)
Why was .loc[...] used instead of just df[df...]?
Why were the expressions "Depressive", "Year", "Entity" given in a single square bracket when selecting columns?
loc chooses the indexes how come we can choose "Year" for the row section ?