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Python 3.6.0 |Anaconda 4.3.1 (64-bit)| (default, Dec 23 2016, 12:22:00) | |
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux | |
Type "help", "copyright", "credits" or "license" for more information. | |
>>> import numpy as np | |
>>> import pandas as pd | |
>>> test = pd.DataFrame(np.random.choice([0.0, 100.0], size=(4, 4))) | |
>>> test | |
0 1 2 3 | |
0 0.0 0.0 100.0 100.0 | |
1 100.0 100.0 0.0 100.0 | |
2 0.0 100.0 100.0 100.0 | |
3 100.0 100.0 100.0 100.0 | |
>>> train = pd.DataFrame(np.random.rand(4, 4)) | |
>>> train | |
0 1 2 3 | |
0 0.435729 0.543282 0.911146 0.394409 | |
1 0.693686 0.955173 0.729586 0.808441 | |
2 0.155083 0.327989 0.405951 0.854187 | |
3 0.623706 0.349019 0.286164 0.626817 | |
>>> test = test.where(test == 0, train) | |
>>> test | |
0 1 2 3 | |
0 0.000000 0.000000 0.911146 0.394409 | |
1 0.693686 0.955173 0.000000 0.808441 | |
2 0.000000 0.327989 0.405951 0.854187 | |
3 0.623706 0.349019 0.286164 0.626817 | |
>>> |
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