我无法将符号列加载到mysql中。文件名是BAJFINANCE.NS.csv
Date,Open,High,Low,Close,Adj Close,Volume
2002-07-01,5.239740,5.540930,5.239740,5.412680,0.063393,21923
2002-07-02,5.523440,5.537040,5.421420,5.443770,0.063757,61045
2002-07-03,5.505950,5.545790,5.328150,5.466120,0.064019,34161
在mysql中获取
timestamp,open,high,low,close,adj_close,volume,symbol
2002-07-01,5.23974,5.54093,5.23974,5.41268,0.063393,21923,NULL
2002-07-02,5.52344,5.53704,5.42142,5.44377,0.063757,61045,NULL
2002-07-03,5.50595,5.54579,5.32815,5.46612,0.064019,34161,NULL
如何在mysql中包含符号
import mysql.connector
config = {
'user':'root',
'password':'root',
'host':'127.0.0.1',
'database':'masterfiles'
}
conn= mysql.connector.connect(**config)
c=conn.cursor()
def insertRows(fileName,c):
delimiter=r','
file=fileName.split("/")[-1]
symbol = file[:-7]
if file.startswith("BAJ"):
c.execute("""Load data local infile %s into table adjprice fields terminated by %s ignore 1 lines
(timestamp,open,high,low,close,adj_close,volume,@symbol)""",(fileName,delimiter))
localExtractFilePath="/Users/dalal"
import os
for file in os.listdir(localExtractFilePath):
if file.endswith("csv"):
insertRows(localExtractFilePath+"/"+file,c)
print "Loaded file "+file+" into database"
conn.commit()
c.close()
conn.close()
答案 0 :(得分:0)
我认为这会做你想做的事情:
c.execute("""
Load data local infile %s
into table adjprice
fields terminated by %s
ignore 1 lines
(timestamp, open, high, low, close, adj_close, volume)
set symbol = %s
""", (fileName, delimiter, symbol))
我建议使用查询参数而不是修改字符串。但是,我不能100%确定文件名和字段组件是否可以作为参数传递。
答案 1 :(得分:0)
我不确定您是如何使用您在问题中使用的导入模块,但我会通过使用Pandas和SQLalchemy来解决这个问题。
以下是我如何解决您的问题:
import os
import pandas as pd
from sqlalchemy import create_engine
localExtractFilePath="/Users/dalal"
config = {
'user':'root',
'password':'root',
'host':'127.0.0.1',
'database':'masterfiles'
}
def main():
engine = create_engine('mysql://{}:{}r@{}/{}'.format(config['user'],config['password'],config['host'],config['database']))
for file in os.listdir(localExtractFilePath):
if file.endswith("csv"):
print('{} file has been found. Loading to Pandas DF'.format(file))
#Load to a Pandas DataFrame Object (Documentation: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html)
df = pd.read_csv(os.path.abspath(file))
df['symbol'] = os.path.splitext(file)[0][:-7]
print('Loading to DB....')
#Upload DF object to SQL (Documentation: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_sql.html)
df.to_sql(con=engine, index=False, if_exists='append')
print('Done, on to the next file!')
if __name__ == '__main__':
main()
希望你觉得这有帮助!