Created
May 20, 2020 12:51
-
-
Save fclesio/052f85db9bd5a3841a6c2dc8c9932475 to your computer and use it in GitHub Desktop.
From SQLite to Pandas
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import sqlite3 | |
import pandas as pd | |
conn = sqlite3.connect('prod.db') | |
c = conn.cursor() | |
query_create_table = ''' | |
CREATE TABLE IF NOT EXISTS toplines( | |
source_id TEXT, | |
source_name TEXT, | |
author TEXT, | |
title TEXT, | |
description TEXT, | |
url TEXT, | |
url_to_image TEXT, | |
published_at TIMESTAMP, | |
content TEXT | |
); | |
''' | |
c.execute(query_create_table) | |
conn.commit() | |
df____ = pd.read_csv('fake_data.csv', header=None) | |
df____.columns = ['id', 'natural', 'status', 'city'] | |
df____.to_sql('toplines', | |
conn, | |
if_exists='replace', | |
index = False) | |
c.execute(''' | |
SELECT * FROM toplines | |
''') | |
df = pd.DataFrame(c.fetchall(), columns=['id', 'natural', 'status', 'city']) | |
df.head(3) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment