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There are several reasons why you may be unable to retrieve data from SQL and import it to pandas using pd.readsqltable. Here are some possible solutions:

1. Check your connection string: Make sure your connection string is correct and that you are connecting to the correct database. If you are using Windows Authentication, make sure your computer has the necessary permissions to access the database.

2. Check your table name: Make sure the table name you are trying to read exists in the database and that you have spelled it correctly.

3. Check your SQL query: If you are using pd.readsqlquery to retrieve data, make sure your SQL query is correct and that it returns data. You can test your query directly in SQL Management Studio or Azure Data Studio.

4. Check your imports: Make sure you have imported the necessary modules for pd.readsqltable to work. This includes sqlalchemy, pyodbc or psycopg2.

5. Try using pd.readsqlquery instead: If pd.readsqltable is not working, try using pd.readsqlquery instead. This method works with any SQL query, rather than just tables.

6. Check your pandas version: Make sure you are using the latest version of pandas, as previous versions may have bugs that affect pd.read_sql methods.

7. Check your database permissions: If you are unable to retrieve data from the database, it may be a permissions issue. Make sure you have the necessary permissions to access the database and the table you are trying to read.

8. Check your firewall settings: If you are connecting to a remote database, make sure your firewall settings allow for the connection. You may need to configure your firewall to allow incoming connections on the SQL Server port.