convert sqlite table to pandas dataframe
import sqlite3
import pandas as pd
dat = sqlite3.connect('data.db')
query = dat.execute("SELECT * From <TABLENAME>")
cols = [column[0] for column in query.description]
results= pd.DataFrame.from_records(data = query.fetchall(), columns = cols)sqlite to pandas
import pandas as pd
import sqlite3
con = sqlite3.connect('/Users/mac/Desktop/Python/Baye_stat/productiondisruption/PCI_meat.sqlite')
df = pd.read_sql(<your query here>, con)how to transfer pandas datafra,e to sqlite
import sqlite3 as db
# Create your connection.
conn = db.connect('connection_name')
df.to_sql(name='table_name', con=conn)df to sql pandas sql achemy
from sqlalchemy import create_engine
engine = create_engine('sqlite://', echo=False)
df.to_sql('users', con=engine)
engine.execute("SELECT * FROM users").fetchall()Copyright © 2021 Codeinu
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