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pandas to sql how to use

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Chen Liang answered on May 16, 2021 Popularity 9/10 Helpfulness 1/10

answer pandas to sql how to use

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pandas to sql how to use

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-2

pandas to_sql 的method参数作用

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Tags: pandas-to-sql sql

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Contributed on Mar 27 2023

Chen Liang

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import csv, sqlite3

# Create a database
con = sqlite3.connect("my_db.db")
cur = con.cursor()

# For inline sql query in jupyter
%load_ext sql

# Connect to database
%sql sqlite:///my_db.db

import pandas as pd
df = pd.read_csv("file_name.csv")
df.to_sql("table_name", con, if_exists='replace', index=False,method="multi")

# Run your query
%%sql
SELECT * FROM table_name LIMIT 3

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Contributed on Feb 16 2023

Innocent Iguana

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SQL to DataFrame

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import pandas as pd
import pyodbc 
conn = pyodbc.connect('Driver={SQL Server};'
                      'Server=RON\SQLEXPRESS;'
                      'Database=TestDB;'
                      'Trusted_Connection=yes;')

cursor = conn.cursor()

sql_query = pd.read_sql_query('SELECT * FROM TestDB.dbo.Person',conn)
print(sql_query)
print(type(sql_query))

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Source: datatofish.com

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Contributed on May 16 2021

Smiling Stag

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pandas write to sql

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df.to_sql('users', con=engine)
3
>>> engine.execute("SELECT * FROM users").fetchall()
[(0, 'User 1'), (1, 'User 2'), (2, 'User 3')]

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Source: pandas.pydata.org

Tags: pandas pa

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Contributed on Jul 24 2022

Courageous Cod

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pandas to sql how to use

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