Python uses pyExcel for various data processing operations such as filtering, sorting, and formatting

Preparation work: 1. Install Python: First, you need to install Python on your computer. You can download the installation package from the official Python website and follow the installation wizard to install it. 2. Install pyExcel class library: After installing Python, you can use the pip command to install the pyExcel class library. Enter the following command on the command line to complete the installation: pip install pyexcel Dependent class libraries: The pyexcel class library itself contains multiple sub modules, each used to process different types of data files. In this example, we will use the pyexcel xls module to process Excel files. Please ensure that the module is installed. You can install using the following command: pip install pyexcel-xls Complete sample code: import pyexcel as pe #Read Excel file and load data into memory data = pe.get_records(file_name="data.xlsx") #Filter based on the value of a column filtered_data = [record for record in data if record["age"] > 30] #Sort by the value of a column sorted_data = sorted(data, key=lambda record: record["age"]) #Format output results for record in sorted_data: print(f"Name: {record['name']}, Age: {record['age']}") #Save filtered and sorted data as a new Excel file pe.save_as(records=filtered_data, dest_file_name="filtered_data.xlsx") Summary: Through the Pyexcel class library, we can easily read and process data in Excel files. In the preparation work, we need to install Python and pyExcel class libraries, and ensure that the dependent pyExcel xls modules have been installed. In the implementation example, we demonstrated how to use pyExcel for data filtering, sorting, and formatting, as well as how to save the processed data as a new Excel file. Using pyexcel can simplify the data processing process and improve development efficiency.