//www.googleapis.com/auth/drive'] credentials = ServiceAccountCredentials.from_json_keyfile_name('path/to/credentials.json', scope) # 授权并打开Google Sheets文件 client = gspread.authorize(credentials) sheet = client.open('Google Sheets文件名称').sheet1 # 获取数据 data = sheet.get_all_re...
我正在尝试使用pandas从公开的google电子表格中读取数据。 我一直在遵循本教程,但在运行代码之后: #!/Library/Frameworks/Python.framework/Versions/3.9/bin/python3 import pandas as pd # Import data from Google Sheets sheet_id = "1ierEhD6gcq51HAm433knjnVwey4ZE5DCnu1bW7PRG3E" df = pd.read_csv(f...
'path/to/your/credentials.json', scopes=['https://www.googleapis.com/auth/spreadsheets']) # 使用凭据连接到Google Sheets API client = gspread.authorize(credentials) # 打开一个指定的表格 sheet = client.open('Your Spreadsheet Name').sheet1 # 读取所有数据 data = sheet.get_all_records() print...
GOOGLE_KEY_FILE='Medium_Data_Extraction_Key.json' credentials = ServiceAccountCredentials.from_json_keyfile_name(GOOGLE_KEY_FILE, scope) gc = gspread.authorize(credentials) wokbook_key ='10HX66PbcGDvx6QKM8DC9_zCGp1TD_CZhovGUbtu_M6Y' workbook = gc.open_by_key(wokbook_key) sheet = workbook...
worksheets() # 下载电子表格 for sheet in sheets: # 获取工作表数据 data = sheet.get_all_records() # 处理数据,例如保存到本地文件或进行其他操作 print(data) 在上述代码中,需要将credentials.json替换为你的API凭据文件。电子表格名称是要下载的Google文档中电子表格的名称。
文本中的代码词、数据库表名、文件夹名、文件名、文件扩展名、路径名、虚拟 URL、用户输入和 Twitter 用户名显示如下:“我们可以通过调用get_data()函数来收集所需的信息。” 代码块设置如下: defhello_world():print(“Hello World!”) hello_world() ...
In this session you'll learn how to use DataCamp Workspace to seamlessly access Google Sheets data and analyze the data with Python.
1. Create a Google Spreadsheet with data Before you can analyze data in spreadsheets, you need to make sure you have a spreadsheet with data in it. If you don’t have a dataset lying around, you can start from a Google Sheet that we prepared for this tutorial: Open the example spreadsh...
1#输出到 excel 格式 2df_inner.to_excel('excel_to_python.xlsx', sheet_name='bluewhale_cc') 写入csv 1#输出到 CSV 格式 2df_inner.to_csv('excel_to_python.csv') 在数据处理的过程中,大部分基础工作是重复和机械的,对于这部分基础工作,我们可以使用自定义函数进行自动化。以下简单介绍对数据表信息...
#1、打开文件(获取一个工作表) import xlrd data = xlrd.open_workbook("01.xls")#打开当前目录下名为01.xls的文档 #此时data相当于指向该文件的指针 table = data.sheet_by_index(0)#通过索引获取,例如打开第一个sheet表格 table = data.sheet_by_name("sheet1")#通过名称获取,如读取sheet1表单 table ...