Detailed analysis of the technical principles of GSPREAD library in Python and the data interaction principle with Google Sheets
GSPREAD is an excellent Python library that provides interactive functions with the Google Sheets table.Below will analyze the technical principles of the GSPREAD library in Python and the data interaction with Google Sheets.
First of all, in order to use the GSPREAD library, we need to install it in the Python environment.You can install it through the following terminal command:
pip install gspread
Next, we need to create a project on Google Cloud Platform (GCP) and get the API key to interact with Google Sheets.Specific steps are as follows:
1. Log in to [GCP console] (https://console.cloud.google.com/) and create a new project.
2. On the project overview page, click "APIS & Services" in the navigation bar on the left, and then click "Library".
3. On the library page, search for "Google Sheets API" and enable the API.
4. Return "APIS & Services" panel and click "Credentials".
5. On the "Credentials" page, click "Create Credentials" to select "Service Account".
6. Fill in the service account name, ID and character, and download the generated JSON key file.
With the JSON key file, we can start using the GSPREAD library to interact with Google Sheets.
First of all, we need to import GSPREAD and OAUTH2Client class libraries and use the JSON key file for identity verification:
python
import gspread
from oauth2client.service_account import ServiceAccountCredentials
# Through the JSON key file for authentication
scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive']
credentials = ServiceAccountCredentials.from_json_keyfile_name('path/to/json_key.json', scope)
client = gspread.authorize(credentials)
After the identity verification is successful, we can access the table in Google Sheets.You can select the form you want to operate through the following methods:
python
# 选择 选择
sheet = client.open ('Table name') .sheet1 # "Table name" is the name in Google Sheets
Next, we can read and write the data.For example, you can use the method of `get_all_records ()` to obtain the data in the entire table:
python
# Read data
data = sheet.get_all_records()
print(data)
To write data, you can use the `update_cell () method to write the data in the specified cell:
python
# data input
Sheet.update_cell (ROW, Column, Value) # ROW and Column represents the indexes and columns, respectively, starting from 1
In addition, GSPREAD also supports various methods of reading and writing data, such as `APPEND_ROW (),` Insert_row (), `Delete_row (),` Batch_update () `, etc.You can choose the right method according to your needs.
The above is the basic principles of the GSPREAD library to interact with Google Sheets data in Python.Through identity verification and API key, we can easily read and write data in Google Sheets through the GSPREAD library, which provides convenience for data analysis and processing.
