Recipe Objective

Have to tried to load features? We think yes. But have to tried to do it from a dictionary in python?

So this is the recipe on how we can load features from a Dictionary in python.

Step 1 - Import the library

We have only imported DictVectorizer which is needed.

Step 2 - Creating a Dictionary

We have created a dictionary on which we will perform the operation. employee = [{"name": "Steve Miller", "age": 33., "dept": "Analytics"}, {"name": "Lyndon Jones", "age": 42., "dept": "Finance"}, {"name": "Baxter Morth", "age": 37., "dept": "Marketing"}, {"name": "Mathew Scott", "age": 32., "dept": "Business"}]

Step 3 - Extracting Features

We are creating an object for DictVectorizer() then we are using this to fit and transform the feature employee to array and finally printing the feature. vec = DictVectorizer() print("Feature Matrix: "); print(vec.fit_transform(employee).toarray()) print("Feature Name: "); print(vec.get_feature_names()) So the output comes as

Feature Matrix: 
[[33.  1.  0.  0.  0.  0.  0.  0.  1.]
 [42.  0.  0.  1.  0.  0.  1.  0.  0.]
 [37.  0.  0.  0.  1.  1.  0.  0.  0.]
 [32.  0.  1.  0.  0.  0.  0.  1.  0.]]

Feature Name: 
["age", "dept=Analytics", "dept=Business", "dept=Finance", "dept=Marketing", "name=Baxter Morth", "name=Lyndon Jones", "name=Mathew Scott", "name=Steve Miller"]