[英]cannot get values from numpy array by name
我有以下代码,在其中尝试通过设置的名称获取数组中的值。
import datetime
import numpy as np
import matplotlib.finance as finance
import matplotlib.mlab as mlab
def get_pxing(my_tickers):
dt = np.dtype([('sym', np.str_, 6), ('adj_close', np.float32)])
close_px = []
for ticker in my_tickers:
# a numpy record array with fields: date, open, high, low, close, volume, adj_close)
fh = finance.fetch_historical_yahoo(ticker, startdate, enddate)
r = mlab.csv2rec(fh)
fh.close()
prices = np.array((ticker, r.adj_close), dtype=dt)
close_px.append(prices)
return close_px
enddate = startdate = datetime.date.today() - datetime.timedelta(1)
my_tickers = np.genfromtxt('./stocklist.csv', delimiter = ",", dtype=None, names=True)
data = get_pxing(my_tickers["ticker"])
print data
这工作正常,但如果我尝试
print data['sym']
我得到:
Traceback (most recent call last):
File "stockyield.py", line 26, in <module>
print data['sym']
TypeError: list indices must be integers, not str
也许我已经使用close_px.append不正确地转换了我的数组,但是由于总是出现数组不匹配的情况,所以我无法弄清楚如何使用np.append。
我输入的csv文件如下所示:
ticker, holding
T, 100
F, 200
关于最佳方法有什么建议吗?
就像评论说的那样,您似乎在将numpy数组追加到数组列表中。 您确实想要创建一个元组列表,然后将元组列表转换为数组。
尝试这样的事情(更改的行有注释)
def get_pxing(my_tickers):
dt = np.dtype([('sym', np.str_, 6), ('adj_close', np.float32)])
close_px = []
for ticker in my_tickers:
# a numpy record array with fields: date, open, high, low, close, volume, adj_close)
fh = finance.fetch_historical_yahoo(ticker, startdate, enddate)
r = mlab.csv2rec(fh)
fh.close()
prices = (ticker, r.adj_close) # append a tuple to your list instead of an array
close_px.append(prices)
return np.array(close_px, dtype=dt) # make the list of tuples into an array with dtype dt
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