Скачать или смотреть How to SELECT SQLite Table with Period in Name in Python

Learn how to effectively work with SQLite when your table names include periods, using Python and Pandas.
---
This video is based on the question https://stackoverflow.com/q/62767759/ asked by the user 'Kel Varnsen' ( https://stackoverflow.com/u/13738146/ ) and on the answer https://stackoverflow.com/a/62767791/ provided by the user 'Tim Biegeleisen' ( https://stackoverflow.com/u/1863229/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to Select SQLite table with period in name in python

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to SELECT SQLite Table with Period in Name in Python

Working with databases can sometimes lead to unexpected issues, especially when it comes to naming conventions. This is particularly true for SQLite, where certain characters in table names can cause syntax errors. If you've added a pandas DataFrame as a table in a SQLite database, you might find yourself in a situation where a period in the table name results in a frustrating error. In this guide, we'll explore how to handle this specific problem and ensure you can successfully query your tables, no matter what characters they contain.

The Problem: Understanding the Error

Imagine you have a SQLite database where you have stored multiple pandas DataFrames as individual tables. Here's the twist: one of the table names includes a period. When you try to run the SQL command to select data from this table, you encounter the following error:

[[See Video to Reveal this Text or Code Snippet]]

This error occurs because SQLite struggles with interpreting the period (.) in the table name. To work around this, we need to properly format our SQL query to inform SQLite that the entire table name is one single entity.

The Solution: Escaping Table Names

In SQLite, you can escape object names like tables and columns by using double quotes. This tells SQLite to treat the contents within the quotes as a literal string, allowing for special characters, including periods. Let’s break it down step-by-step so you can read the problematic table easily.

Steps to Query the Table

Define the table name: Start by defining your table name as a string including the periods.

[[See Video to Reveal this Text or Code Snippet]]

Construct the SQL query: Use double quotes around the table name when creating your SQL query string.

[[See Video to Reveal this Text or Code Snippet]]

Execute the query: Now, use pd.read_sql_query to run the query against the SQLite connection. This will ensure that SQLite understands you're referring to the same object, regardless of the special characters involved.

[[See Video to Reveal this Text or Code Snippet]]

Complete Code Example

Here’s how the complete block of code looks in action:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

In summary, working with SQL databases comes with its own set of challenges, especially when dealing with special characters in table names. By properly escaping names using double quotes in your SQL queries, you can easily avoid syntax errors and retrieve your data without any issues. This method not only provides a solution to your current problem but also equips you with a strategy for handling similar situations in the future.

Now you can retrieve data from your SQLite tables with confidence!