importmysql.connector # Connect to the database conn=mysql.connector.connect(host="localhost",user="username",password="password",database="database_name")# Create a cursor object c=conn.cursor()# Execute the q
file_obj.write(TITLE_HEAD.format(system_name=system_name, now=now)) table_names = self.get_table_names(database_name) fornum, tableinenumerate(table_names, start=1): table_infos = self.get_column_infors(table, database_name) file_obj.write(TABLE_HEADER.format(num=num, table_name=table...
Method MySQLCursor.executemany(operation, seq_params) Method MySQLCursor.fetchall() Method MySQLCursor.fetchmany(size=1) Method MySQLCursor.fetchone() Method MySQLCursor.fetchwarnings() Method MySQLCursor.stored_results() Property MySQLCursor.column_names Property MySQLCursor.description Property MySQLCurs...
get(path="/http/fastapi/mysql/test") async def fastapi_mysql_query_test(): sql = "select id, username, role from user_basic where username='hui'" ret = await DBManager().run_sql(sql) column_names = [desc[0] for desc in ret.cursor.description] result_tuple = ret.fetchone() user...
self.col_labels = column_names self.data = data def GetNumberRows(self): return len(self.data) def GetNumberCols(self): return len(self.col_labels) def GetValue(self, row, col): products = self.data[row] return { 0: products.get('id'), ...
读取mysql 数据文件 pd.read_sql() 读取csv、txt、json文件 有标题行且分隔符为, pd.read_csv(文件路径) 2. 没有标题行且分隔符不是, pd.read_csv(filepath,sep=“分隔符”,header=None,names=list) pd.read_csv的各个参数如下 参数说明 filepath_or_buffer 文件的路径 sep 分隔符的类型,默认是逗号 he...
if__name__=='__main__':table_names=[]column_names=[]function_names=[]alias_names=[]columns_rank=0sql=get_sqlstr('read_sql.txt')stmt_tuple=analysis_statements(sql)foreach_stmtinstmt_tuple:type_name=get_main_functionsql(each_stmt)#get_ASTTree(each_stmt)blood_table(each_stmt)blood_co...
To change the character set after connecting to MySQL, set the charset property of the MySQLConnection instance. This technique is preferred over using the SET NAMES SQL statement directly. Similar to the charset property, you can set the collation for the current MySQL session. ...
pip install mysql-connector-python 建立表模型类 from sqlalchemy import create_engine, MetaData, Column from sqlalchemy.dialects.mysql import INTEGER, DOUBLE, BIGINT, VARCHAR, CHAR, TEXT, DATETIME from sqlalchemy.ext.declarative import declarative_base ...
from sqlalchemy import create_engineimport pymysql 从而创建连接引擎: #创建引擎engine=create_engine('mysql+pymysql://用户名:密码@主机名/数据库?charset=utf8') 3.schema 指定架构(如果database flavor支持此功能)。如果没有,则使用默认架构。pandas中get_schema()方法是可以编写sql的写入框架的,没用传入的...