filter columns in pandas code example

Example 1: filter by row contains pandas

In [3]: df[df['ids'].str.contains("ball")]  # removes all rows where 'ball' not in row['ids']
Out[3]:
     ids  vals
0  aball     1
1  bball     2
3  fball     4

Example 2: pandas filter dataframe

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

Example 3: pandas column filter

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

Example 4: how to apply filters in pandas

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

Example 5: pandas filter

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

Example 6: pandas filter

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