Pandas extract non-empty row values

When doing data processing, we will encounter rows in which the value of a certain column is not empty in the table to be extracted. We can easily handle it through pandas. The specific steps are as follows:

1. Create a form 

import numpy as np
import pandas as pd
from pandas import Series,DataFrame
data=DataFrame()
data['a']=[1,2,3,4]
data['b']=[1,2,np.nan,np.nan]

2. Form properties

	a	b
0	1	1.0
1	2	2.0
2	3	NaN
3	4	NaN

3. Get Boolean value

data['b'].notnull()

0     True
1     True
2    False
3    False
Name: b, dtype: bool 

4. Get rows with non-null values

data[data['b'].notnull()]

	a	b
0	1	1.0
1	2	2.0