c.execute('''CREATE TABLE orders (order_id int, user_id int, item_name text)''') Suppose you have the following orders.csv file: order_id,user_id,item_nameĬreate a table and then load the orders data into the database. Cursors can be thought of as iterators in the database world. The fetchall() method returns an array of tuples.Ĭ.execute() returns a sqlite3.Cursor object. Fetch values from sqlite tableįetch all the rows from the users table: c.execute('''SELECT * FROM users''').fetchall() #
The to_sql method makes it easy to write DataFrames to databases. Users.to_sql('users', conn, if_exists='append', index = False) Pandas makes it easy to load this CSV data into a sqlite table: import pandas as pd Suppose you have the following users.csv file: user_id,username c.execute('''CREATE TABLE users (user_id int, username text)''') Load CSV file into sqlite table import sqlite3Įxecute a query that’ll create a users table with user_id and username columns. You can create the file with touch my_data.db or with this equivalent Python code: from pathlib import PathĪ zero byte text file is a great starting point for a lightweight database! Creating sqlite tableĬreate a database connection and cursor to execute queries. Sqlite is a lightweight database that can be started as an empty text file. Python is perfect language for this task because it has great libraries for sqlite and CSV DataFrames.
#Sqlite import csv and create table how to#
This blog post demonstrates how to build a sqlite database from CSV files.
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