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pandas df trim columns if too much missing data Code Example
pandas df trim columns if too much missing data 
In [108]: df.columns[df.isnull().mean() < 0.8]
Out[108]: Index(['b', 'd', 'e'], dtype='object')

In [109]: df[df.columns[df.isnull().mean() < 0.8]]
Out[109]:
      b    d    e
0   2.0  NaN  NaN
1   NaN  NaN  2.0
2   2.0  NaN  NaN
3   NaN  NaN  2.0
4   2.0  NaN  NaN
5   NaN  NaN  NaN
6   2.0  NaN  NaN
7   2.0  NaN  NaN
8   2.0  NaN  NaN
9   NaN  NaN  NaN
10  2.0  NaN  2.0
11  NaN  2.0  NaN
12  NaN  2.0  NaN
13  NaN  2.0  NaN
14  NaN  2.0  2.0
15  NaN  NaN  NaN
16  2.0  NaN  NaN
17  NaN  NaN  2.0
18  NaN  2.0  NaN
19  2.0  2.0  NaN
Source: stackoverflow.com



Python

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