filter rows pandas

1# filter rows in a dataframe by a condition on a column
2
3df_filtered = df.loc[df['column'] == value]

1newdf = df[(df.origin == "JFK") & (df.carrier == "B6")]
2

1df.loc[df['col name'].isin(ls_conditions)]

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)