Onnowpurbo at 02:30, 29 January 2020

2020-01-29T02:30:39Z

← Older revision		Revision as of 02:30, 29 January 2020
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	sumber: http://blog.biolab.si/2015/08/07/creating-a-new-data-table-in-orange-through-python/		sumber: http://blog.biolab.si/2015/08/07/creating-a-new-data-table-in-orange-through-python/


	~~Creating a new data table in Orange through Python~~

	==IMPORT DATA==		==IMPORT DATA==

	~~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~~:		Salah satu tugas pertama dalam analisis data Oranye tentu saja me-load data anda. Jika anda menggunakan Orange via Python, ini sangat mudah dilakukan menggunakan perintah di bawah ini:

	import Orange		import Orange
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	print (data)		print (data)

	~~This will return a neat~~ data ~~table of the famous~~ Iris ~~data set in the console~~.		Ini akan menghasilkan tabel data rapi dari dataset Iris yang terkenal di konsol.


	==CREATE ~~YOUR OWN~~ DATA TABLE==		==CREATE DATA TABLE SENDIRI==

	~~What if you want to create your own~~ data ~~table from scratch~~? ~~Even this is surprisingly simple~~. ~~First~~, import ~~the~~ Orange ~~data library~~.		Bagaimana jika kita ingin membuat tabel data kita sendiri dari awal? Bahkan ini sangat sederhana. Pertama, import library data Orange.

	from Orange.data import *		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~~.		Set semua atribut yang ingin kita lihat di tabel data. Untuk atribut diskrit, panggil DiscreteVariable dan atur nama dan nilai yang mungkin, sedangkan untuk panggilan variabel kontinu ContinuousVariable dan tetapkan hanya nama atribut.

	color = DiscreteVariable(“color”, values=[“orange”, “green”, “yellow”])		color = DiscreteVariable(“color”, values=[“orange”, “green”, “yellow”])
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	fruit = DiscreteVariable("fruit”, values=[”orange", “apple”, “peach”])		fruit = DiscreteVariable("fruit”, values=[”orange", “apple”, “peach”])

	~~Then~~ set ~~the~~ domain ~~for your~~ data ~~table~~. ~~See how we set~~ class ~~variable with~~ class_vars?		Kemudian set domain untuk tabel data kita. Lihat bagaimana kita mengatur variabel class dengan class_vars?

	domain = Domain([color, calories, fiber], class_vars=fruit)		domain = Domain([color, calories, fiber], class_vars=fruit)

	~~Time to input your~~ data!		Waktunya untuk memasukan data anda!

	data = Table(domain, [		data = Table(domain, [
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	["yellow", 4, 1.0, "peach"]])		["yellow", 4, 1.0, "peach"]])

	~~And now~~ print ~~what you have created~~!		dan sekaran print apa yang baru saja kita buat!

	print(data)		print(data)

	~~One final step~~:		Langkah terakhir:

	Table.save(table, "fruit.tab")		Table.save(table, "fruit.tab")

	Your data is safely stored to your computer (in the Python folder)! Good job!		Data anda akan tersimpan dengan saman di komputer (folder python)Your data is safely stored to your computer (in the Python folder)! Good job!

Onnowpurbo: Created page with "sumber: http://blog.biolab.si/2015/08/07/creating-a-new-data-table-in-orange-through-python/ Creating a new data table in Orange through Python ==IMPORT DATA== One of the..."

2017-08-05T22:32:20Z

Created page with "sumber: http://blog.biolab.si/2015/08/07/creating-a-new-data-table-in-orange-through-python/ Creating a new data table in Orange through Python ==IMPORT DATA== One of the..."

New page

sumber: http://blog.biolab.si/2015/08/07/creating-a-new-data-table-in-orange-through-python/

Creating a new data table in Orange through Python

==IMPORT DATA==

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!

print(data)

One final step:

Table.save(table, "fruit.tab")

Your data is safely stored to your computer (in the Python folder)! Good job!

==Referensi==

* http://blog.biolab.si/2015/08/07/creating-a-new-data-table-in-orange-through-python/

Orange: Membuat Data File dengan Python - Revision history

Onnowpurbo at 02:30, 29 January 2020

Onnowpurbo: Created page with "sumber: http://blog.biolab.si/2015/08/07/creating-a-new-data-table-in-orange-through-python/ Creating a new data table in Orange through Python ==IMPORT DATA== One of the..."