This code performs the following tasks: 1. Imports the logging module...

March 28, 2023 at 04:00 PM

import logging logging.basicConfig() logging.getLogger('sqlalchemy.postico').setLevel(logging.INFO) df.to_sql("s_filerIDs", postico, if_exists="append", index=False, dtype={'FID': sqlalchemy.types.integer, 'filernamefirst': sqlalchemy.types.string, 'filernamelast': sqlalchemy.types.string})

This code performs the following tasks:

  1. Imports the logging module and sets up basic configuration for logging.
  2. Retrieves a logger with the name 'sqlalchemy.postico' and sets its logging level to INFO.
  3. Converts a pandas DataFrame named "df" into an SQL database table named "s_filerIDs", using the SQL Alchemy library to interact with the database.
  4. Specifies that if the table already exists, rows should be appended to it.
  5. Specifies that the index column of the DataFrame should not be included in the resulting SQL table.
  6. Specifies the data types of each column in the SQL table to ensure proper data storage.
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