This project provides a Python script to read data from an Excel file and insert it into specified MySQL database tables. The script uses pandas for reading Excel files and pymysql for interacting with the MySQL database. This is useful for data migration tasks or batch data insertion from Excel files to MySQL databases.

• Reads data from specified sheets in an Excel file using pandas.
• Connects to a MySQL database using pymysql.
• Inserts the data into corresponding MySQL tables.
• Supports bulk insertion for efficiency.

1. Install Required Libraries: Ensure you have pymysql and pandas installed.

   pip install pymysql pandas

2. Configure Database Connection: Update the connection parameters (host, user, password, db) in the execute_sql function.

3. Map Excel Sheets to MySQL Tables: Update the table_name_dict dictionary in the main function to map Excel sheet names to MySQL table names.

4. Specify the Path to Your Excel File: Update the File_Path variable in the main function to point to your Excel file location.

   File_Path = "C:\\Path\\To\\Your\\data.xlsx"

5. Run the Script: Execute the script to read data from the Excel file and insert it into the MySQL tables.

   python Excel_to_MySQL_Importer.py

In this script, the Excel file data.xlsx located on the desktop is read. The data from the sheets SPC and sales are inserted into the MySQL tables Schema1.settings_spc and Schema2.sales, respectively.

• export_mysql_data_to_xlsx: Export MySQL Data to Excel
• df_to_mysql_table_statement_generator: Converting a Pandas DataFrame into a MySQL CREATE TABLE statement

• Python 3.x
• MySQL server
• Necessary Python libraries: pymysql, pandas

• Ensure your MySQL server is running and accessible.
• Update the SQL insert command if the Excel column names differ from the MySQL table column names.