from numpy import vstack, array, nan
from sklearn.preprocessing import Imputer
#missing value calculation, return value is the data after calculating the missing value
# The parameter missing_value is a representation of the missing value. The default is NaN.
#Parameters is a missing value filling method, the default is mean (mean)
Imputer().fit_transform(vstack((array([nan, nan, nan, nan]),iris.data)))