I would like to open an SQL 2005 database (file has extension of .mdf), and I have been trying this as such:
import pandas as pd
import pyodbc
server = 'server_name'
db = 'database_name'
conn = pyodbc.connect('DRIVER={SQL Server};SERVER=' + server + ';DATABASE=' + db + ';Trusted_Connection=yes')
sql = """
SELECT * FROM table_name
"""
df = pd.read_sql(sql, conn)
Is there a way to query the database and list all tables using Pandas or pyodbc? I have virtually NO experience in databases, so any help will be great.
This answer might be helpful: How do I get list of all tables in a database using TSQL?
Trying changing your SQL string to:
sql = """
SELECT * FROM information_schema.tables
"""
import pyodbc as db
import pandas as pd
conn = db.connect("DRIVER={SQL Server}; SERVER=YourServerName; PORT=1433; DATABASE=YourDB; UID=User; PWD=Password;")
cursor = conn.cursor()
cursor.execute('''select * from sys.databases''')
df=pd.DataFrame(cursor.fetchall())
With sqllite3 and pandas you can do it by
import sqlite3
import pandas as pd
# create a connection
con = sqlite3.connect('database.db')
data = pd.read_sql_query('SELECT name from sqlite_master where type= "table";', con)
# show first 5 table names
data.head()
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