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Jul 19th, 2019
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  1. df=pd.DataFrame(np.array([1,2,3,4,np.nan,6,7,8,9,10,np.nan]).reshape(-1,11))
  2. df.fillna(method='ffill',axis=1)
  3.  
  4. 0 1 2 3 4 5 6 7 8 9 10
  5. 0 1.0 2.0 3.0 4.0 4.0 6.0 7.0 8.0 9.0 10.0 10.0
  6.  
  7. df.fillna(method='bfill',axis=1)
  8. 0 1 2 3 4 5 6 7 8 9 10
  9. 0 1.0 2.0 3.0 4.0 6.0 6.0 7.0 8.0 9.0 10.0 NaN
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