我从假定为“ pandas”格式的API(alpha_vantage)获取数据。 我用此数据创建一个pd.DataFrame。在此之后,应该将Table / DataFrame插入我的MYSQL数据库中以创建内容并将该DataFrame与另一个进行比较,等等...
但是标头中的值位于标头AND中的第一行。 当我重命名列时,数据框中的值位于NaN。
您是否有任何解决此DataFrame的想法?
open high low close volume
date
2019-07-05 14:21:00 NaN NaN NaN NaN NaN
2019-07-05 14:22:00 NaN NaN NaN NaN NaN
2019-07-05 14:23:00 NaN NaN NaN NaN NaN
2019-07-05 14:24:00 NaN NaN NaN
这是导入之后的DataFrame:
1. open 2. high 3. low 4. close 5. volume
date
2019-07-05 14:21:00 136.890 136.9300 136.87 136.9300 17242.0
2019-07-05 14:22:00 136.920 136.9200 136.90 136.9000 15627.0
2019-07-05 14:23:00 136.905 136.9149 136.89 136.9149 21360.0
2019-07-05 14:24:00 136.920 136.9400 136.90 136.9000 14474.0
2019-07-05 14:25:00 136.905 136.9400 136.90 136.9350 10476.0
此作业的实际代码:
#db-connection#
import pandas as pd
import mysql.connector
mydb = mysql.connector.connect(host="xxx",port="xxx",user="xxx",passwd="xxx",database="traiding")
mycursor = mydb.cursor()
#data#
from alpha_vantage.timeseries import TimeSeries
import csv
ts = TimeSeries(key='xxxx', output_format='pandas')
data, meta_data = ts.get_intraday(symbol='MSFT',interval='1min', outputsize='compact')
df_data=pd.DataFrame(data=data) #, columns=(['open','high','low','close','volume']))
#write data in db#
#mydb.commit()
print("1 record inserted, ID:", mycursor.lastrowid)
mycursor.close()
mydb.close()
print("Connection Closed")
df_data.head()