![]() ![]() You just saw how to create a database in Python using the sqlite3 package. You’ll then get the following results: product_name price LEFT JOIN prices b ON a.product_id = b.product_idĭf = pd.DataFrame(c.fetchall(), columns=) You can then run the following code to display the results in Pandas DataFrame: import sqlite3 INSERT INTO products (product_id, product_name)įor the final step, let’s join the ‘ products‘ table with the ‘ prices‘ table using the product_id column which is present in both tables. Here is the complete code to insert the values into the 2 tables: import sqlite3 Provided by: sqlite33.37.2-2amd64 NAME sqlite3 - A command line interface for SQLite version 3 SYNOPSIS sqlite3 options databasefile SQL SUMMARY sqlite3 is a terminal-based front-end to the SQLite library that can evaluate queries interactively and display the results in multiple formats. Let’s also insert the following data into the ‘ prices‘ table: product_id Step 2: Insert values into the tablesįor this step, let’s insert the following data into the ‘ products‘ table: product_id Alternatively, in the Database Navigator. ![]() Once you run the above script in Python, a new file, called test_database, would be created at the same location where you saved your Python script. In the window that opens, navigate to the ER Diagram tab, right-click on the window, and choose Create New Table. Here are the columns to be added for the 2 tables: Table Nameīelow is the script that you can use in order to create the database and the 2 tables using sqlite3: import sqlite3 nnect('database_name') Steps to Create a Database in Python using sqlite3 Step 1: Create the Database and Tables Create a database and tables using sqlite3īut before we begin, here is a simple template that you can use to create your database using sqlite3: import sqlite3.I get a dialog with the following fields, Table Name filled in with the table name taken from the csv file, Column names in first line - checked, Field separator - comma, Quote character - double quotes, Encoding - UTF-8, and Trim fields - checked. In this guide, you’ll see a complete example with the steps to create a database in Python using sqlite3. Then I select the csv file that contains the Unicode characters from my PC file system. ![]()
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