[PYTHON] Sort by specifying conditions in CASTable

SAS Viya is an AI platform. It is available through languages such as Python, Java and R. A table object called CASTable is used in SAS Viya (CAS stands for Cloud Analytic Services). This time, I will explain how to sort the data in CASTable.

Get a table from the database

First, connect to SAS Viya.

import swat
conn = swat.CAS('server-name.mycompany.com', 5570, 'username', 'password')

Then get the CASTable. This time, I will use CSV of IRIS data.

tbl = conn.loadtable('data/iris.csv', caslib='casuser').casTable

Sort

Sorting uses the sort_values method.

tbl.sort_values(['sepal_length', 'sepal_width'])

Let's check the data in this state. The head method gets from the first line.

sorttbl.head(10)

	sepal_length	sepal_width	petal_length	petal_width	species
0	4.3	3.0	1.1	0.1	setosa
1	4.4	2.9	1.4	0.2	setosa
2	4.4	3.0	1.3	0.2	setosa
3	4.4	3.2	1.3	0.2	setosa
4	4.5	2.3	1.3	0.3	setosa
5	4.6	3.1	1.5	0.2	setosa
6	4.6	3.2	1.4	0.2	setosa
7	4.6	3.4	1.4	0.3	setosa
8	4.6	3.6	1.0	0.2	setosa
9	4.7	3.2	1.6	0.2	setosa

The reverse order uses the tail method.

sorttbl.tail(5)

	sepal_length	sepal_width	petal_length	petal_width	species
145	7.7	2.6	6.9	2.3	virginica
146	7.7	2.8	6.7	2.0	virginica
147	7.7	3.0	6.1	2.3	virginica
148	7.7	3.8	6.7	2.2	virginica
149	7.9	3.8	6.4	2.0	virginica

Specify ascending / descending order

You can specify the order in detail with the ʻascending` option.

sorttbl = tbl.sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])

If you check the data with this, the order of the data should be changed.

	sepal_length	sepal_width	petal_length	petal_width	species
0	7.9	3.8	6.4	2.0	virginica
1	7.7	2.6	6.9	2.3	virginica
2	7.7	2.8	6.7	2.0	virginica
3	7.7	3.0	6.1	2.3	virginica
4	7.7	3.8	6.7	2.2	virginica
5	7.6	3.0	6.6	2.1	virginica
6	7.4	2.8	6.1	1.9	virginica
7	7.3	2.9	6.3	1.8	virginica
8	7.2	3.0	5.8	1.6	virginica
9	7.2	3.2	6.0	1.8	virginica

Summary

Sorting data is a basic operation. Please specify the conditions in detail as an option while using sort_values.

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