Pandas告警UserWarning:pandas only supports SQLAlchemy connectable处理方式

import pymysql
import pandas as pd

db_host = 'localhost'
user = 'root'
passwd = '123456'
db = 'mytestdb'

conn = pymysql.connect(host=db_host,
                       user=user,
                       passwd=passwd,
                       db=db,
                       charset='utf8')

sql = 'SELECT * FROM students'

pd.set_option('display.unicode.ambiguous_as_wide', True)
pd.set_option('display.unicode.east_asian_width', True)
df = pd.read_sql(sql, conn)
print(df)

conn.close()

pip install sqlalchemy

from sqlalchemy import create_engine
import pandas as pd

MYSQL_HOST = 'localhost'
MYSQL_PORT = '3306'
MYSQL_USER = 'root'
MYSQL_PASSWORD = '123456'
MYSQL_DB = 'mytestdb'

engine = create_engine('mysql+pymysql://%s:%s@%s:%s/%s?charset=utf8'
                           % (MYSQL_USER, MYSQL_PASSWORD, MYSQL_HOST, MYSQL_PORT, MYSQL_DB))

sql = 'SELECT * FROM students'

df = pd.read_sql(sql, engine)

pd.set_option('display.unicode.ambiguous_as_wide', True)
pd.set_option('display.unicode.east_asian_width', True)
print(df)

import openpyxl
import warnings
from openpyxl.utils.exceptions import DataValidationError

# 忽略DataValidationError的警告
warnings.simplefilter("ignore", category=DataValidationError)# 使用Pandas读取Excel文件
df = pd.read_excel('your_excel_file.xlsx')

from sqlalchemy import create_engine

# 创建一个SQLAlchemy数据库连接
engine = create_engine('database_connection_string')# 使用SQLAlchemy连接从数据库导入数据到Pandas DataFrame
df = pd.read_sql_query('SELECT * FROM your_table', con=engine)

import pandas as pd

# 创建一个空的DataFrame
df = pd.DataFrame()

# 使用标准方式创建列
df['column_name'] = [1, 2, 3, 4, 5]

# 避免使用新属性名创建列
# df.new_column = [6, 7, 8, 9, 10]  # 这会触发警告