无法将 csv 文件处理成带有代码的 pandas，也无法从 DataFrame 获取股票信息

Question

我正在尝试导入股票代码列表（#symbols_list...read_csv.. 行），并将该日期的股票信息提取到 pandas.

import datetime
import pandas as pd
from pandas import DataFrame
from pandas.io.data import DataReader

#symbols_list = [pd.read_csv('Stock List.csv', index_col=0)]
symbols_list = ['AAPL', 'TSLA', 'YHOO','GOOG', 'MSFT','ALTR','WDC','KLAC']
symbols=[]

start = datetime.datetime(2014, 2, 9)
#end = datetime.datetime(2014, 12, 30)

for ticker in symbols_list:
    r = DataReader(ticker, "yahoo",
                   start = start)
                   #start=start, end)
    # add a symbol column
    r['Symbol'] = ticker
    symbols.append(r)
# concatenate all the dfs
df = pd.concat(symbols)
#define cell with the columns that i need
cell= df[['Symbol','Open','High','Low','Adj Close','Volume']]
#changing sort of Symbol (ascending) and Date(descending) setting Symbol as first column and changing date format
cell.reset_index().sort(['Symbol', 'Date'], ascending=[1,0]).set_index('Symbol').to_csv('stock.csv', date_format='%d/%m/%Y')

输入文件 Stock list.csv 这些条目在其单独的行中具有以下内容：

Index
MMM
ABT
ABBV
ACE
ACN
ACT
ADBE
ADT
AES
AET
AFL
AMG

还有更多感兴趣的代码。

当运行与手动编码列表

symbols_list = ['AAPL', 'TSLA', 'YHOO','GOOG', 'MSFT','ALTR','WDC','KLAC']

一切正常，处理输入并将其存储到文件中，但是每当我运行来自文件的带有 read_csv 的代码时，我都会收到以下错误：

runfile('Z:/python/CrystallBall/SpyderProject/getstocks3.py', wdir='Z:/python/CrystallBall/SpyderProject') Reloaded modules: pandas.io.data, pandas.tseries.common Traceback (most recent call last):

  File "<ipython-input-32-67cbdd367f48>", line 1, in <module>
    runfile('Z:/python/CrystallBall/SpyderProject/getstocks3.py', wdir='Z:/python/CrystallBall/SpyderProject')

  File "C:\Program Files (x86)\WinPython-32bit-3.4.2.4\python-3.4.2\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 601, in runfile
    execfile(filename, namespace)

  File "C:\Program Files (x86)\WinPython-32bit-3.4.2.4\python-3.4.2\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 80, in execfile
    exec(compile(open(filename, 'rb').read(), filename, 'exec'), namespace)

  File "Z:/python/CrystallBall/SpyderProject/getstocks3.py", line 35, in <module>
    cell.reset_index().sort(['Symbol', 'Date'], ascending=[1,0]).set_index('Symbol').to_csv('stock.csv', date_format='%d/%m/%Y')

  File "C:\Users\Morten\AppData\Roaming\Python\Python34\site-packages\pandas\core\generic.py", line 1947, in __getattr__
    (type(self).__name__, name))

AttributeError: 'Panel' object has no attribute 'reset_index'

为什么我只能处理 symbol_list 手动排版，而不能处理从文件导入的代码？

有人要吗？非常感谢任何帮助！

Answer 1

您的代码存在许多问题，以下代码已修复并有效：

In [4]:

import datetime
import pandas as pd
from pandas import DataFrame
from pandas.io.data import DataReader

temp='''Index
MMM
ABT
ABBV
ACE
ACN
ACT
ADBE
ADT
AES
AET
AFL
AMG'''

df = pd.read_csv(io.StringIO(temp), index_col=[0])
symbols=[]

start = datetime.datetime(2014, 2, 9)

for ticker in df.index:
    r = DataReader(ticker, "yahoo",
                   start = start)
                   #start=start, end)
    # add a symbol column
    r['Symbol'] = ticker
    symbols.append(r)
# concatenate all the dfs
df = pd.concat(symbols)
#define cell with the columns that i need
cell= df[['Symbol','Open','High','Low','Adj Close','Volume']]
#changing sort of Symbol (ascending) and Date(descending) setting Symbol as first column and changing date format
cell.reset_index().sort(['Symbol', 'Date'], ascending=[1,0]).set_index('Symbol').to_csv('stock.csv', date_format='%d/%m/%Y')
cell
Out[4]:
           Symbol    Open    High     Low  Adj Close   Volume
Date                                                         
2014-02-10    MMM  129.65  130.41  129.02     126.63  3317400
2014-02-11    MMM  129.70  131.49  129.65     127.88  2604000
...           ...     ...     ...     ...        ...      ...
2015-02-06    AMG  214.35  215.82  212.64     214.45   424400

[3012 rows x 6 columns]

所以首先是：symbols_list = [pd.read_csv('Stock List.csv', index_col=0)]

这将创建一个包含单个条目的列表，该条目将是一个没有列的 df，只有您的代码值的索引。

这个：for ticker in symbols_list:

不会工作，因为从 df 返回的可迭代对象是列而不是每个条目，在您的情况下，您需要迭代索引，这正是我的代码所做的。

我不确定你想要实现什么，没有必要指定 index_col=0 如果只有一列，你可以创建一个只有一列的 df，或者如果你传递 squeeze=True 这将创建一个只有一列的系列。

无法将 csv 文件处理成带有代码的 pandas，也无法从 DataFrame 获取股票信息

Cannot process a csv file into a pandas with tickers, and fetch stock-info from the DataFrame

csv

python-3.x

pandas

stock

ticker