import pandas as pd
from sqlalchemy import create_engine
if __name__ == "__main__":
#
engine = create_engine('mysql+pymysql://zyjsuper:123456@192.
168.128.129:3306/mydb')
#sql
sql = 'SELECT * FROM testcases'
#dataframe
df = pd.read_sql_query(sql,engine)
df.to_excel("testcases.xls",index=False)
import pandas as pd
from sqlalchemy import create_engine
import os
dataPath = "C:\\Users\\Zayki\\Desktop\\Eureka"
os.chdir(dataPath)
i = 1
for file in os.listdir(dataPath):
df = pd.read_excel(file)
if file.startswith('eureka'):
try:
engine = create_engine("mysql+pymysql://zyjsuper:123456@192.
168.128.129:3306/mydb", encoding='utf-8')
df.to_sql('eureka' + str(i), con=engine, if_exists='replace',
index=False)
print('eureka' + str(i) + "")
except:
print("")
i+=1
else:
try:
engine = create_engine("mysql+pymysql://zyjsuper:123456@192.
168.128.129:3306/mydb", encoding='utf-8')
df.to_sql('summary' + str(i), con=engine, if_exists='replace',
index=False)
print('summary' + str(i) + "")
except:
print("")
i+=1
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