Python CSV to Excel Data Extraction and Filtering

This code reads CSV files in a specified folder and saves the data into an Excel file. The code uses the `pandas` library to read the CSV files and manipulate the data, and the `openpyxl` library to write the data into an Excel file.\n\nHere is a breakdown of the code:\n\n1. Import the necessary libraries:\n - `pandas` for data manipulation\n - `os` for file operations\n - `re` for regular expressions\n - `openpyxl` for Excel file operations\n \n2. Define the folder path where the CSV files are located, the file format to match, and the output folder and file name for the Excel file.\n\n3. Iterate through the files in the folder:\n - Check if the filename matches the specified file format using regular expressions.\n - Extract the date from the filename using string slicing.\n - Read the CSV file into a `pandas` DataFrame, selecting only the required columns.\n - Filter the data based on specific conditions using boolean indexing.\n - If the output file is not yet created, create it and save the filtered data as the first sheet.\n - If the output file already exists, open it in append mode and add the filtered data as a new sheet.\n - Print a message indicating that the file has been processed.\n \n4. Print a message indicating that all files have been processed.\n\nThe code assumes that all the required libraries are installed and that the folder and file paths are valid.