import pandas
as
pd
from datetime import
date
import mysql.connector
from mysql.connector import Error
import sqlalchemy
def priceStock(tickers):
today = pd.to_datetime(
"today"
).
strftime
(
"%Y-%m-%d"
)
for
ticker in tickers:
conn = sqlalchemy.create_engine(
'mysql+mysqlconnector://analysis_PhamThiLinhChi:Phamthilinhchi@103.200.22.212'
)
# conn = mysql.connector.connect(host=
'103.200.22.212'
, database=
'analysis_stock'
, user=
'analysis_PhamThiLinhChi'
, password=
'Phamthilinhchi'
)
new_record = stock_historical_data(ticker,
'2018-01-01'
, today)
new_record.insert(0,
'ticker'
, ticker)
table =
'priceStock'
# cursor = conn.cursor()
new_record.to_sql(table, con=conn, if_exists=
'append'
)
#loop through the data frame
#
for
i,row in new_record.iterrows():
# #here %s means string values
# sql =
"INSERT INTO "
+ table +
" VALUES (%s,%s,%s,%s,%s,%s,%s)"
# #đoán chắc là
do
format time từ python sang sql ko khớp
# cursor.execute(sql, tuple(row))
#
print
(
"Record inserted"
)
# # the connection is not auto committed by
default
, so we must commit to save our changes
# conn.commit()
priceStock([
'VIC'
])