pandas filter

1In [96]: df
2Out[96]:
3   A  B  C  D
4a  1  4  9  1
5b  4  5  0  2
6c  5  5  1  0
7d  1  3  9  6
8
9In [99]: df[(df.A == 1) & (df.D == 6)]
10Out[99]:
11   A  B  C  D
12d  1  3  9  6

1filter = df['column']!= 0
2df = df[filter]

1# filter rows for year 2002 using  the boolean expression
2>gapminder_2002 = gapminder[gapminder.year.eq(2002)]
3>print(gapminder_2002.shape)
4(142, 6)

1df[(df['year'] > 2012) & (df['reports'] < 30)]

1>continents = ['Asia','Africa', 'Americas', 'Europe']
2>gapminder_Ocean = gapminder[~gapminder.continent.isin(continents)]
3>gapminder_Ocean.shape 
4(24,6)
5

1#To select rows whose column value is in list 
2years = [1952, 2007]
3gapminder.year.isin(years)