pandas column filter

In [96]: df
Out[96]:
   A  B  C  D
a  1  4  9  1
b  4  5  0  2
c  5  5  1  0
d  1  3  9  6

In [99]: df[(df.A == 1) & (df.D == 6)]
Out[99]:
   A  B  C  D
d  1  3  9  6

# filter rows in a dataframe by a condition on a column

df_filtered = df.loc[df['column'] == value]

filter = df['column']!= 0
df = df[filter]

# 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)