Starting with Five Factor E

Five Factor E is available on the Python package repository: PyPI Open external link . You can easily install it using the following command:

pip install five-factor-e

By default, you can use the provided JSON dictionary with user responses. It’s accessible here: Default Answers Dictionary Open external link .

The id_select key represents the user’s Likert scale responses ranging from 1 to 5. You can explore the questions associated with these responses here: Questions Open external link .

from ipipneo import IpipNeo
import json, urllib.request

ipip = IpipNeo(question=120)

data = urllib.request.urlopen("https://raw.githubusercontent.com/NeuroQuestAi"\
   "/five-factor-e/main/data/IPIP-NEO/120/answers.json").read()

answers120 = json.loads(data)

res = IpipNeo(question=120).compute(sex="M", age=40, answers=answers120)

print(f"Result: {res}")

You can also use the inventory to test. Need to install the dependency:

pip install five-factor-e[quiz]

Now call the program:

ipipneo-quiz

After answering the inventory, the result will be something similar to this graph:

For more information, see directly in the project’s README Open external link or using Form Open external link .