ystockquote數據導入numpy的陣列，IndexError：數組太多指數

Question

有問題索引一個numpy的陣列後，我從ystockquote導入股票報價：

import numpy as np 
import ystockquote as ysq 
startdate = "2016-04-06" 
enddate = "2016-04-07" 

q = np.array(ysq.get_historical_prices("AAPL", startdate, enddate)) 

print(q) 

{'2016-04-07': {'Close': '108.540001', 'Volume': '30881000', 'Adj Close': '108.540001', 'High': '110.419998', 'Low': '108.120003', 'Open': '109.949997'}, '2016-04-06': {'Close': '110.959999', 'Volume': '26047800', 'Adj Close': '110.959999', 'High': '110.980003', 'Low': '109.199997', 'Open': '110.230003'}} 



    q[0,0] 

Traceback (most recent call last): 

    File "<ipython-input-105-ad764cdee54e>", line 1, in <module> 
    q[0,0] 

IndexError: too many indices for array 

    q[0,:] 
Traceback (most recent call last): 

    File "<ipython-input-106-069fcfa0a0f6>", line 1, in <module> 
    q[0,:] 

IndexError: too many indices for array 


    q[:,0] 

Traceback (most recent call last): 

    File "<ipython-input-107-782637b90296>", line 1, in <module> 
    q[:,0] 

IndexError: too many indices for array 

    q.shape 

Out[108]:() 

看來，數組有沒有尺寸。任何人都可以解釋發生了什麼？

Answer 1

你基本上是試圖把一個字典中的數組，這使得沒有真正意義上的，也許項目將接近你想要什麼：

d = {'2016-04-07': {'Close': '108.540001', 'Volume': '30881000', 'Adj Close': '108.540001', 'High': '110.419998', 'Low': '108.120003', 'Open': '109.949997'}, '2016-04-06': {'Close': '110.959999', 'Volume': '26047800', 'Adj Close': '110.959999', 'High': '110.980003', 'Low': '109.199997', 'Open': '110.230003'}} 


q = np.array(list(d.items())) 
print(q) 
print q[0] 
print(q.size) 

它給你：

[['2016-04-07' 
    {'High': '110.419998', 'Adj Close': '108.540001', 'Volume': '30881000', 'Low': '108.120003', 'Close': '108.540001', 'Open': '109.949997'}] 
['2016-04-06' 
    {'High': '110.980003', 'Adj Close': '110.959999', 'Volume': '26047800', 'Low': '109.199997', 'Close': '110.959999', 'Open': '110.230003'}]] 
['2016-04-07' 
{'High': '110.419998', 'Adj Close': '108.540001', 'Volume': '30881000', 'Low': '108.120003', 'Close': '108.540001', 'Open': '109.949997'}] 
4 

但我不確定這比使用字典本身更有用。