#Coded by Andrew C
import sqlite3
connect = sqlite3.connect(':memory:')
cursor = connect.cursor()
people_data = {
1:('John', 20, 'Office'),
2:('Lucy', 40, 'Alt'),
3:('Mary', 56, 'Office'),
4:('Zach', 23, 'Office'),
5:('Sam', 37, 'Home'),
6:('Linda', 31, 'Office'),
7:('Kevin', 39, 'Alt'),
8:('Juan', 21, 'Home')
}
def create():
sqlstr = 'CREATE TABLE PEOPLE(ID int AUTO_INCREMENT, Name varchar(255), Age int, Location varchar(255))'
cursor.execute(sqlstr)
connect.commit()
def insert(id, name, age, location):
sqlstr = 'INSERT INTO PEOPLE(ID, Name, Age, Location) VALUES ("' + str(id) + '", "' + str(name) + '", ' + str(age) + ', "' + str(location) + '")'
cursor.execute(sqlstr)
connect.commit()
import pandas as pd
def dfimport():
sql_query = pd.read_sql_query (''' SELECT * FROM PEOPLE''', connect)
df = pd.DataFrame(sql_query, columns = ['ID', 'Name', 'Age','Location'])
print (df)
create()
for k, v in people_data.items():
insert(k, v[0], v[1], v[2])
insert(9,'Luke',26, 'Alt')
dfimport()
cursor.close()
On this page of the site you can watch the video online Python Bytes - SQL to Dataframe with a duration of hours minute second in good quality, which was uploaded by the user AC 29 March 2023, share the link with friends and acquaintances, this video has already been watched 358 times on youtube and it was liked by 7 viewers. Enjoy your viewing!