How to subset a teradata table in python?

@deron 

To subset a Teradata table in Python, you can use the teradatasql library to connect to your Teradata database and execute SQL queries to extract the subset of data you need. Here is an example code snippet to subset a Teradata table:

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import teradatasql

# Connect to the Teradata database
with teradatasql.connect('<your_username>', '<your_password>', '<your_host>') as con:
    # Define the SQL query to subset the Teradata table
    query = "SELECT * FROM your_table WHERE condition"

    # Execute the SQL query
    with con.cursor() as cur:
        cur.execute(query)

        # Fetch the subset of data from the Teradata table
        subset_data = cur.fetchall()

In this code snippet, make sure to replace <your_username>, <your_password>, and <your_host> with your actual Teradata database credentials. You also need to modify the SQL query to specify the condition for subsetting the table data.

Once you have executed the query, you can fetch the subset of data from the Teradata table using the cur.fetchall() method. The subset_data variable will contain the subset of data as a list of tuples, where each tuple represents a row from the Teradata table.