Importing data from a MySQL database into a Pandas data frame including column names [duplicate]

Question

I am importing data from a MySQL database into a Pandas data frame. The following excerpt is the code that I am using:

import mysql.connector as sql import pandas as pd  db_connection = sql.connect(host='hostname', database='db_name', user='username', password='password') db_cursor = db_connection.cursor() db_cursor.execute('SELECT * FROM table_name')  table_rows = db_cursor.fetchall()  df = pd.DataFrame(table_rows) 

When I print the data frame it does properly represent the data but my question is, is it possible to also keep the column names? Here is an example output:

                          0   1   2     3     4     5     6     7     8 0  :ID[giA0CqQcx+(9kbuSKV== NaN NaN  None  None  None  None  None  None 1  lXB+jIS)DN!CXmj>0(P8^]== NaN NaN  None  None  None  None  None  None    2  lXB+jIS)DN!CXmj>0(P8^]== NaN NaN  None  None  None  None  None  None    3  lXB+jIS)DN!CXmj>0(P8^]== NaN NaN  None  None  None  None  None  None    4  lXB+jIS)DN!CXmj>0(P8^]== NaN NaN  None  None  None  None  None  None    

What I would like to do is keep the column name, which would replace the pandas column indexes. For example, instead of having 0, the column name would be: "First_column" as in the MySQL table. Is there a good way to go about this? or is there a more efficient approach of importing data from MySQL into a Pandas data frame than mine?

Answer 1

IMO it would be much more efficient to use pandas for reading data from your MySQL server:

from sqlalchemy import create_engine import pandas as pd  db_connection_str = 'mysql+pymysql://mysql_user:mysql_password@mysql_host/mysql_db' db_connection = create_engine(db_connection_str)  df = pd.read_sql('SELECT * FROM table_name', con=db_connection) 

this should also take care of column names...