pandas - Filter out rows with more than certain number of Nan -


In pandora dataframe, I would like to filter all the rows which have more than 2 nanows, basically i have 4 columns And I would like to put those rows, where at least 2 columns have limited value.

The following should be done < < p>

See what we are doing here, NaN rows, where the line contains 2 or more non NaN values.

Example: 

 In  [25]: Import Pandas pd df = pd.DataFrame ({'a': [1,2, NaN, 4,5], 'B': [NaN, 2, NaN, 4,5], 'c': [1,2], nan, nan, nan], 'd': [1,2,3, nan, 5]}) DF Out [25]: ABCD 0 1NN 1 1 2 2 2 2 2 Na Nn N 3 3 4 4 NaN NaN 4 5 5 NaN 5 [5 Rows x 4 Column] [26]: df.dropna (thresh = 2) Out [26]: ABCD 0 1NAN 1 1 2 2 2 2 2 3 4 4 Nain Nain 4 5 5 nan 5 [4 rows x 4 column]   
  Edit   
 This works for the above example but you should be aware that you have a number of columns Set the value to the value and set the value to  thresh , I thought that basically it means the number of values ​​ NaN  but it is actually the Maya   Non    NaN  value number.

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