Delete lines from a Dataframe from a list of python strings

Question

I am with A Dataframe for analysis of Covid-19 and When I pull the largest amount of cases or deaths, return me to the continents and I would like to delete only the entries where the continents appear, leave only the countries.

For example, I created this list and then I was able to pull the inputs without the continents.

continentes = ['Europe', 'Asia', 'North America', 'South America', 'Oceania', 'Africa', 'European Union']

df.loc[~df.location.isin(continentes)][df.date == '2021-04-27'].sort_values(by='total_cases', ascending=False)

However, when I will create a bar chart and use this command

df.loc[df.date == '2021-04-27', ['location', 'total_deaths']].sort_values(by="total_deaths", ascending=False)[0:6]

It is returned the values of the continents, so I would like to delete these entries, some commands that I tried not solved or gave error, for example:

df.drop(df[df.location == 'Europe', 'North America', 'Asia', 'Oceania', 'South America', 'Africa', 'European Union'].index)

df.drop(df[df.location == continentes].index)

I will try to reproduce when I give the command to locate the countries with the most deaths and their location

location        total_deaths        

world           3134956.0
europe          1007023.0
north america   843246.0
european union  682014.0
south america   658283.0

I really appreciate it if someone can help me!!!