Home
Basic usage
Creating a new application with the 1010data Python SDK includes importing the library, establishing a session, submitting a query, receiving results, and cleaning up the session.
Accessing query results
After querying the 1010data Insights Platform, your application receives a set of results, which is accessible through the Query object.

Basic usage
Creating a new application with the 1010data Python SDK includes importing the library, establishing a session, submitting a query, receiving results, and cleaning up the session.
- Setting up an application
  Your application setup includes importing any required libraries, including the 1010data Python SDK.
- Establishing a session
  A 1010data Insights Platform session is an instance of a particular user ID logged into the platform within a certain environment. A session is comprised of a dedicated set of resources that can serve a single request at a time.
- Running a query
  Your application should act as an intermediary between your users and the platform to pass in a query and receive the queried data.
- Accessing query results
  After querying the 1010data Insights Platform, your application receives a set of results, which is accessible through the Query object.
- Cleaning up a session
  If your application uses the with keyword, the 1010ata Insights Platform session is cleaned up automatically at the end of the with statement. If your application does not use with, you need to clean up the platform session when you've completed the transaction.

Accessing query results

After querying the 1010data Insights Platform, your application receives a set of results, which is accessible through the Query object.

After the query is run, the Query object is the results of the query. Your results are a set of Column objects. Column objects contain the values in the column as a list that can be iterated over and indexed.

This example uses the row iterator exampleQuery.rows to print each row in the results. You can access an individual row by specifying an index (e.g., exampleQuery.rows[100]).

import py1010
import sys

gateway = "https://www2.1010data.com/cgi-bin/gw"
tablename = "pub.demo.weather.stations"
username = "[USER_NAME]"
password = "[PASSWORD]"

testSession = py1010.Session(gateway, username, password, py1010.POSSESS)
exampleQuery = testSession.query(tablename, '<sel value="(elev>10)"/>')
exampleQuery.run()
for r in exampleQuery.rows:
    print("\t".join([str(x) for x in r]))

Note: [USER_NAME] and [PASSWORD] are placeholders for valid Insights Platform user name and password.