Comparing 2PScustomObjectArrays with 3 Columns - Put Changed Rows Variable

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Automating Data Collection and Comparing Old and New Values

In this article, we will discuss a method for automating data collection from a site that provides data every 30 minutes, and comparing the old and new values. This process can be useful for monitoring changes in the data over time.

Data Collection

To collect data from the site, we can use a simple script that sends an HTTP request to the site's API every 30 minutes. Here's an example in Python using the requests library:

import requests
import time

def collect_data():
    while True:
        old_data = requests.get('http://example.com/api/data').json()
        time.sleep(1800)  # wait for 30 minutes
        new_data = requests.get('http://example.com/api/data').json()
        compare_data(old_data, new_data)

def compare_data(old_data, new_data):
    # compare old_data and new_data here
    pass

if __name__ == '__main__':
    collect_data()

Comparing Old and New Values

Once we have the old and new data, we can compare them to find any changes. Here's an example of how to compare two arrays in Python:

def compare_data(old_data, new_data):
    changed_rows = []

    for old_row, new_row in zip(old_data, new_data):
        if old_row != new_row:
            changed_rows.append((old_row, new_row))

    print("Changed rows:")
    for row in changed_rows:
        print(row)

Putting Changed Rows in a Variable

If we want to store the changed rows in a variable for further processing, we can modify the compare_data function as follows:

def compare_data(old_data, new_data):
    changed_rows = []

    for old_row, new_row in zip(old_data, new_data):
        if old_row != new_row:
            changed_rows.append((old_row, new_row))

    return changed_rows

Summary

In this article, we discussed a method for automating data collection from a site that provides data every 30 minutes, and comparing the old and new values. We provided a simple Python script that sends an HTTP request to the site's API every 30 minutes, compares the old and new data, and stores the changed rows in a variable.

References

• requests - HTTP for Humans
• Python Data Structures: Lists - Python documentation

This article is intended for educational purposes only. The provided script is a simple example and may need to be adjusted to fit the specific requirements of the site you are working with.