ashishpatel26 · July 18, 2018 15:58
diff --git a/code7.py b/code7.py
 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)))
	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)))