Snippet 1
# filter rows in a dataframe by a condition on a column
df_filtered = df.loc[df['column'] == value]
Snippet 2
>continents = ['Asia','Africa', 'Americas', 'Europe']
>gapminder_Ocean = gapminder[~gapminder.continent.isin(continents)]
>gapminder_Ocean.shape
(24,6)
Snippet 3
filter = df['column']!= 0
df = df[filter]
Snippet 4
# filter rows for year 2002 using the boolean expression
>gapminder_2002 = gapminder[gapminder.year.eq(2002)]
>print(gapminder_2002.shape)
(142, 6)
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