python - Replace NaN in a dataframe with random values -


i have data frame (data_train) nan values, sample given below:

republican                n                          y    republican                n                          nan    democrat                 nan                         n democrat                  n                          y

i want replace nan random values .

republican                n                           y    republican                n                          rnd2 democrat                 rnd1                         n democrat                  n                           y

how do it.

i tried following, had no luck:

df_rand = pd.dataframe(np.random.randn(data_train.shape[0],data_train.shape[1])) data_train[pd.isnull(data_train)] = dfrand[pd.isnull(data_train)]

when above dataframe random numerical data above script works fine.

well, if use fillna fill nan, random generator works once , fill n/as same number.

so, make sure random number generated , used each time. dataframe : 

          date               b 0   2015-01-01       nan     nan 1   2015-01-02       nan     nan 2   2015-01-03       nan     nan 3   2015-01-04       nan     nan 4   2015-01-05       nan     nan 5   2015-01-06       nan     nan 6   2015-01-07       nan     nan 7   2015-01-08       nan     nan 8   2015-01-09       nan     nan 9   2015-01-10       nan     nan 10  2015-01-11       nan     nan 11  2015-01-12       nan     nan 12  2015-01-13       nan     nan 13  2015-01-14       nan     nan 14  2015-01-15       nan     nan 15  2015-01-16       nan     nan

i used following code fill nans in column a:

import random x['a'] = x['a'].apply(lambda v: random.random() * 1000)

which give like: 

          date                 b 0   2015-01-01   96.538211     nan 1   2015-01-02  404.683392     nan 2   2015-01-03  849.614253     nan 3   2015-01-04  590.030660     nan 4   2015-01-05  203.167519     nan 5   2015-01-06  980.508258     nan 6   2015-01-07  221.088002     nan 7   2015-01-08  285.013762     nan

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