#To select rows whose column value is in list years = [1952, 2007] gapminder.year.isin(years)
# filter rows for year 2002 using the boolean expression >gapminder_2002 = gapminder[gapminder.year.eq(2002)] >print(gapminder_2002.shape) (142, 6)
>continents = ['Asia','Africa', 'Americas', 'Europe'] >gapminder_Ocean = gapminder[~gapminder.continent.isin(continents)] >gapminder_Ocean.shape (24,6)
df[(df['year'] > 2012) & (df['reports'] < 30)]
