请将C:\path\to\your\database.accdb替换为你的Access数据库文件的实际路径。 建立连接: 使用pyodbc.connect()函数建立与Access数据库的连接。 python conn = pyodbc.connect(conn_str) 读取数据到DataFrame: 使用Pandas的read_sql_query函数执行SQL查询,并将查询结果读取到DataFrame中。 python query = "SELECT ...
( username=username, password=password, host=host, port=port, database=database ) ) # 查询所有 def search_all(): sql = "select * from goods" df = pd.read_sql(sql=sql, con=engine) data_lst = df.to_dict("records") return data_lst # 通过名字查询 def search_by_name(name): sql...
读取excel文件fpath = "./datas/crazyant/access_pvuv.xlsx" pvuv = pd.read_excel(fpath) pv...
query ="SELECT * FROM user_to_role"engine = create_engine("mysql+pymysql://")# 这里我们将 user_id 改成了字符串,当然我们改成字符串反而是不对的,这里只是演示这个功能df = pl.read_database(query, engine, schema_overrides={"user_id": pl.String})print(df)""" shape: (9, 2) ┌──...
[外链图片转存失败,源站可能有防盗链机制,建议将图片保存下来直接上传(img-p33vW2Cw-1681367023140)(https://gitcode.net/apachecn/apachecn-ds-zh/-/raw/master/docs/handson-data-analysis-numpy-pandas/img/c622867b-9917-4cf6-8873-652cb09681be.png)] 笔记本启动后,我们从一个代码块开始。 我们可以将...
2、读取excel文件 fpath = "./datas/crazyant/access_pvuv.xlsx" pvuv = pd.read_excel(fpath) ...
fpath = "./datas/crazyant/access_pvuv.xlsx" pvuv = pd.read_excel(fpath) In [ ] pvuv 3、读取MySQL数据库 In [ ] import pymysql conn = pymysql.connect( host='127.0.0.1', user='root', password='12345678', database='test', charset='utf8' ) In [ ] mysql_page = pd.read_sql...
In this SQLite database we have a table called purchases, and our index is in a column called "index". By passing a SELECT query and our con, we can read from the purchases table: df = pd.read_sql_query("SELECT * FROM purchases", con) df ...
Importing Data is the first important step in any data science project. Learn how pandas' read_csv() function is perfect for this.
fpath ="./datas/crazyant/access_pvuv.xlsx"pvuv = pd.read_excel(fpath) pvuv 3、读取MySQL数据库 importpymysql conn = pymysql.connect( host='127.0.0.1', user='root', password='12345678', database='test', charset='utf8') mysql_page = pd.read_sql("select * from crazyant_pvuv", ...