Research on the technical principles of using the GSPREAD library for Google Sheets operation in Python

Research on the technical principles of using the GSPREAD library for Google Sheets operation in Python Overview: Gspread is a Python library with powerful features that can be used to operate Google Sheets in the Python code.It provides a simple and intuitive function that allows developers to read, write and modify data in Google Sheets.This article will focus on the implementation principles of the GSPREAD library in Python, as well as the necessary programming code and related configuration. Technical principle: 1. Certification and authorization: Before using the GSPREAD library to perform Google Sheets operations, we must advance certification and authorization.This is implemented through Google identity verification to ensure that our Python code has the right to access Google Sheets.Generally, we use Google API vouchers to verify identity. In the process, a client key (JSON format) will be generated, which contains the authentication information of our application.We need to download and save this key, and then use GSPREAD's `Service_account` function to load the authentication information. 2. Connect to Google Sheets: After loading the authentication information with the `Service_account`, we can use the` Client` function provided by the `GSPREAD` library to connect to Google Sheets.This will provide us with a client object, we can use it to obtain and modify data in Google Sheets. 3. Open and select worksheet: After connecting to Google Sheets, we can use the `Open` function to open a specific worksheet. At this time, we need to provide the workheet name or index.GSPREAD also provides a method of choosing a working watch, which can choose the worksheet currently operated by the name or index of the worksheet. 4. Read and write data: Once connected to a specific worksheet, we can read all the data in the worksheet using the `Get_all_values` function and return it to a two -dimensional list.If you want to write data, we can write the data into the specified cells in the specified cell, or use the `update_cells` function to write multiple cells at one time.GSPREAD also provides other functions, such as `APPEND_ROW` to add line data,` delete_row` is used to delete lines. Programming code and related configuration: Below is a simple example code that demonstrates how to use the GSPREAD library to perform Google Sheets in Python: python import gspread from oauth2client.service_account import ServiceAccountCredentials # Configuration voucher scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive'] credentials = ServiceAccountCredentials.from_json_keyfile_name('credentials.json', scope) client = gspread.authorize(credentials) # To Google Sheets sheet = client.open('SheetName').sheet1 # Read data data = sheet.get_all_values() print(data) # data input sheet.update('A1', 'Hello, World!') # new_row = ['Value 1', 'Value 2', 'Value 3'] sheet.append_row(new_row) # Delete line sheet.delete_row(2) In the above code, we first set a voucher to replace the `credentials.json` into your own client key file.Then use the `Authorize` function to verify and connect to Google Sheets.Next, we opened the first worksheet (index of 1) called `Sheetname`.Then we demonstrated how to read data, write data, and add and delete lines. Summarize: By using the GSPREAD library, we can easily operate Google Sheets in the Python code.Certification and authorization are the first steps connected to Google Sheets, and then we can use the functions provided by GSPREAD to read, write and modify data.In this way, we can easily perform the operation of Google Sheets in the code.