Python 用于库存百分比更改的数据帧

我喜欢创建一个用于跟踪每日、每周、每月和每年的库存百分比变化的df。 以下是我希望输出看起来像的输出：

股票收盘日WTD MTD YTD
0 IWM 137.960007 0.847956 0.847956 5.337105 25.406785
1 IBM 167.600006 0.551964 0.551964 4.867976 23.280625

我相信这会让您达到目标

tickers = ['IWM', 'IBM']
df_list = []
for ticker in tickers:
    prices = data.DataReader(ticker, 'yahoo', '2016')['Close']

    # get all timestamps for specific lookups
    today = prices.index[-1]
    yest= prices.index[-2]
    start = prices.index[0]
    week = today - pd.tseries.offsets.Week(weekday=0)
    month = today - pd.tseries.offsets.BMonthBegin()

    # calculate percentage changes
    close = prices[today]
    daily =  (close - prices[yest]) / prices[yest] * 100
    wtd = (close - prices[week]) / prices[week] * 100
    mtd = (close - prices[month]) / prices[month] * 100
    ytd = (close - prices[start]) / prices[start]* 100

    # create temporary frame for current ticker
    df = pd.DataFrame(data=[[ticker, close, daily, wtd, mtd,  ytd]], 
                      columns=['stock', 'Close', 'Daily', 'WTD', 'MTD', 'YTD'])
    df_list.append(df)

# stack all frames
pd.concat(df_list)

输出

  stock       Close     Daily       WTD       MTD        YTD
0   IWM  137.960007  0.847956  0.847956  5.337105  25.406785
0   IBM  167.600006  0.551964  0.551964  4.867976  23.280625

---

ticker_list={'IWM'：'IWM'，'IBM'：'IBM'}谢谢..这项工作。还有一个简短的问题。到目前为止，对于quartar，我添加了以下内容，但它是从月初开始运行的，而不是从季度开始运行的。**quarter=today-pd.tseries.offsets.BQuarterBegin（）**我做错了什么？您必须添加

startmonth=1

。在这里检查问题