Get the column list & data list of 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 try to get the column information of CASTable by various methods.

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

Get only the column name

It is OK to get only the column name with for in.

for col in tbl:
    print(col)

The output is as follows.

sepal_length
sepal_width
petal_length
petal_width
species

Get column name and index

If you want to get the index in addition to the column name, use the ʻenumerate` function.

for i, col in enumerate(tbl):
    print(i, col)

The output is as follows.

0 sepal_length
1 sepal_width
2 petal_length
3 petal_width
4 species

Get column name and column type

Use the zip function to get the type in addition to the column name.

for col, dtype in zip(tbl, tbl.dtypes):
    print(col, dtype)

The output is as follows.

sepal_length double
sepal_width double
petal_length double
petal_width double
species varchar

Get as CASColumn

Use the ʻiteritemsmethod to get it as aCASColumn` where you can get more detailed information.

for col, obj in tbl.iteritems():
    print(col, obj)
    print('')

The output is as follows.

sepal_length CASColumn('DATA.IRIS', caslib='CASUSER(username)')['sepal_length'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])

sepal_width CASColumn('DATA.IRIS', caslib='CASUSER(username)')['sepal_width'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])

petal_length CASColumn('DATA.IRIS', caslib='CASUSER(username)')['petal_length'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])

petal_width CASColumn('DATA.IRIS', caslib='CASUSER(username)')['petal_width'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])

species CASColumn('DATA.IRIS', caslib='CASUSER(username)')['species'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])

Get the data in detail

Next is how to get the data row by row. The first is when using the ʻiterrows` method.

for row in tbl.iterrows():
    print(row)

The output is as follows. There are 150 lines in total.

(0, sepal_length          7.9
sepal_width           3.8
petal_length          6.4
petal_width             2
species         virginica
Name: 0, dtype: object)
(1, sepal_length          7.7
sepal_width           2.6
petal_length          6.9
petal_width           2.3
species         virginica
  :
Name: 148, dtype: object)
(149, sepal_length       4.3
sepal_width          3
petal_length       1.1
petal_width        0.1
species         setosa
Name: 149, dtype: object)

Next is the case of using the ʻitertuples` method.

for row in tbl.itertuples():
    print(row)

The result is as follows, only the value is returned.

(0, 7.9000000000000004, 3.7999999999999998, 6.4000000000000004, 2.0, 'virginica')
(1, 7.7000000000000002, 2.6000000000000001, 6.9000000000000004, 2.2999999999999998, 'virginica')
  :
(148, 4.4000000000000004, 3.2000000000000002, 1.3, 0.20000000000000001, 'setosa')
(149, 4.2999999999999998, 3.0, 1.1000000000000001, 0.10000000000000001, 'setosa')

Summary

There are various ways to get column information. Please use properly according to your needs.

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