insert_query = f"INSERT INTO mytable (id, name, age, city) VALUES ({row['id']}, '{row['name']}', {row['age']}, '{row['city']}')" cursor.execute(insert_query) # 使用SQL查询语句替代pandas数据操作 select_query = "SELECT * FROM mytable WHERE age > 30" cursor.execute(sel...
一、数据读取与写入 SQL 在SQL 中,读取数据通常是通过连接数据库,并使用SELECT语句从特定的表中获取数据。写入数据则可以使用INSERT INTO、UPDATE和DELETE等语句来进行操作。 例如,从名为students的表中读取所有数据: SELECT*FROMstudents; 向students表中插入一条新记录: INSERTINTOstudents(name,age)VALUES('John Doe...
问Pandas插入到SQL Server中EN上面的代码表明有7个参数被传递给游标execute命令，并且只允许2到5个参数。
population = random.randint(1000000, 100000000) sql = f"INSERT INTO mycity (Name, CountryCode, District, Population) VALUES ('{name}', '{country_code}', '{district}', '{population}')" try: cursor.execute(sql) #print(f"Inserted data for {name}, CountryCode={country_code}, District={...
data.append(value)definsert_data(): sql ="insert into blog(title, body) values (%s, %s)"try: cursor.executemany(sql, data) db.commit()print("insert success")except: db.rollback()if__name__ =='__main__': insert_data()
sql_insert='insert into qsl.user_evaluation(`姓名`, `姓名1`, `ID`, `ID1`, `年龄`, `年龄1`)'values=read_excel(path_file) sql_insert= sql_insert +'values'+','.join(values) sql_insert= sql_insert.replace("'Null'","Null")#read_excel中插入Null的原因#print(sql_insert)mysql.insert...
sqlalchemy.create_engine("mssql+pyodbc:///?odbc_connect=%s" % params) 这也不是数据库权限问题,因为我可以使用与以下相同的连接参数逐行编写: cursor = conn.cursor() cursor.execute('insert into test values (1, 'test', 10)') conn.commit() ...
["id", "name", "is_deleted", "balance"]) >>> df id name is_deleted balance 0 1 _suffixnan 1 NaN 1 2 Noneprefix 0 NaN 2 3 fooNULLbar 1 2.34 >>> query = df_to_sql_bulk_insert(df, "users", status="APPROVED", address=None) >>> print(query) INSERT INTO users (id, ...
sql = "insert into goods(name, category, price, quantity) values(%s, %s, %s, %s)" pd.read_sql(sql=sql, con=engine, params=(name, category, price, quantity)) except Exception as e: print(e) # 更新数据 def update_by_name(name, price): try: sql = "update goods set price= %s ...
cur.execute(sql) conn.close() tsk_sql = 'INSERT INTO TABLE xxx VALUES' amt_sql = 'INSERT INTO TABLE xxx VALUES' def parse_from_excel(year: int, month: int, day_range: range): for i in day_range: this_day = datetime(year=year, month=month, day=i) ...