use imputer.simple
attributes:
SimpleFill(fill_method=string)return：array-type data has been filled
parameters
| arameters | Value | Explain |
|---|---|---|
| fill_method | 'mean', | fill missing values with means accornd-ing its columns |
| 'zero' | fill with zero | |
| 'median' | fill with columns' median | |
| 'min' | fill with min value according per column | |
| 'random' | fill with gaussian noise according to mean/std of column | |
example:
In [12]: from ycimpute.imputer import simple
In [13]: simple.SimpleFill(fill_method='mean').complete(boston_mis)
Out[13]:
array([[ 6.32000000e-03, 1.80000000e+01, 2.31000000e+00, ...,
1.53000000e+01, 3.96900000e+02, 4.98000000e+00],
[ 2.73100000e-02, 0.00000000e+00, 1.11807675e+01, ...,
1.78000000e+01, 3.96900000e+02, 9.14000000e+00],
[ 2.72900000e-02, 1.08048246e+01, 7.07000000e+00, ...,
1.84513158e+01, 3.92830000e+02, 1.25422368e+01],
...,
[ 6.07600000e-02, 0.00000000e+00, 1.19300000e+01, ...,
2.10000000e+01, 3.96900000e+02, 5.64000000e+00],
[ 1.09590000e-01, 0.00000000e+00, 1.19300000e+01, ...,
2.10000000e+01, 3.93450000e+02, 6.48000000e+00],
[ 4.74100000e-02, 0.00000000e+00, 1.19300000e+01, ...,
2.10000000e+01, 3.96900000e+02, 7.88000000e+00]])
In [14]: simple.SimpleFill(fill_method='min').complete(boston_mis)
In [16]: simple.SimpleFill(fill_method='random').complete(boston_mis)