One of the first tasks in Orange data analysis is of course loading your data. If you are using Orange through Python, this is as easy as riding a bike:
import Orange data = Orange.data.Table(“iris”) print (data)
This will return a neat data table of the famous Iris data set in the console.
CREATE YOUR OWN DATA TABLE
What if you want to create your own data table from scratch? Even this is surprisingly simple. First, import the Orange data library.
from Orange.data import *
Set all the attributes you wish to see in your data table. For discrete attributes call DiscreteVariable and set the name and the possible values, while for a continuous variable call ContinuousVariable and set only the attribute name.
color = DiscreteVariable(“color”, values=[“orange”, “green”, “yellow”]) calories = ContinuousVariable(“calories”) fiber = ContinuousVariable(“fiber”)] fruit = DiscreteVariable("fruit”, values=[”orange", “apple”, “peach”])
Then set the domain for your data table. See how we set class variable with class_vars?
domain = Domain([color, calories, fiber], class_vars=fruit)
Time to input your data!
data = Table(domain, [ [“green”, 4, 1.2, “apple”], ["orange", 5, 1.1, "orange"], ["yellow", 4, 1.0, "peach"]])
And now print what you have created!
One final step:
Your data is safely stored to your computer (in the Python folder)! Good job!