如何使用添加的属性重塑数据框答案

【问题标题】：How to reshape a dataframe with added attributes如何使用添加的属性重塑数据框
【发布时间】：2020-04-12 03:34:11
【问题描述】：

我从 pandas_datareader 中提取的代码列表中有一个包含股票收盘价的 Pandas DataFrame。

tickers = ['FB', 'AAPL', 'AMZN', 'RSP']
stocks = web.DataReader(tickers,'yahoo',start_date,end_date)
stocks

目前我的 DataFrame 如下所示：

我尝试将日期和符号设置为我的索引，如 `stocks.set_index(['Date','Symbols]) 但我收到此错误：

KeyError: "None of ['Date', 'Symbols'] are in the columns"

如何重塑 DataFrame，使我的列按以下顺序排列：日期、符号、关闭

【问题讨论】：

Date 已经是您的索引，Symbols 是您的列。你想要stocks.stack()吗？

标签： python pandas pandas-datareader

【解决方案1】：

从 pandas_datareader 导入数据

tickers = ['FB', 'AAPL', 'AMZN', 'RSP']
start_date,end_date = "2020-04-01", "2020-04-10"
stocks = data.DataReader(tickers,'yahoo',start_date,end_date)
stocks_close = stocks['Close']

s1 = stocks_close.stack(0) # multi-index pandas dataframe
s2 = s1.reset_index() # no index, flatted and repeated

s1 给：

Date        Symbols
2020-04-01  AAPL        240.910004
            AMZN       1907.699951
            FB          159.600006
            RSP          79.879997
2020-04-02  AAPL        244.929993
            AMZN       1918.829956
            FB          158.190002
            RSP          81.139999
2020-04-03  AAPL        241.410004
            AMZN       1906.589966
            FB          154.179993
            RSP          79.830002
2020-04-06  AAPL        262.470001
            AMZN       1997.589966
            FB          165.550003
            RSP          85.870003
2020-04-07  AAPL        259.429993
            AMZN       2011.599976
            FB          168.830002
            RSP          86.559998
2020-04-08  AAPL        266.070007
            AMZN       2043.000000
            FB          174.279999
            RSP          90.139999
2020-04-09  AAPL        267.989990
            AMZN       2042.760010
            FB          175.190002
            RSP          92.220001

s2：

         Date Symbols            0
0  2020-04-01    AAPL   240.910004
1  2020-04-01    AMZN  1907.699951
2  2020-04-01      FB   159.600006
3  2020-04-01     RSP    79.879997
4  2020-04-02    AAPL   244.929993
5  2020-04-02    AMZN  1918.829956
6  2020-04-02      FB   158.190002
7  2020-04-02     RSP    81.139999
8  2020-04-03    AAPL   241.410004
9  2020-04-03    AMZN  1906.589966
10 2020-04-03      FB   154.179993
11 2020-04-03     RSP    79.830002
12 2020-04-06    AAPL   262.470001
13 2020-04-06    AMZN  1997.589966
14 2020-04-06      FB   165.550003
15 2020-04-06     RSP    85.870003
16 2020-04-07    AAPL   259.429993
17 2020-04-07    AMZN  2011.599976
18 2020-04-07      FB   168.830002
19 2020-04-07     RSP    86.559998
20 2020-04-08    AAPL   266.070007
21 2020-04-08    AMZN  2043.000000
22 2020-04-08      FB   174.279999
23 2020-04-08     RSP    90.139999
24 2020-04-09    AAPL   267.989990
25 2020-04-09    AMZN  2042.760010
26 2020-04-09      FB   175.190002
27 2020-04-09     RSP    92.220001

如果你想重命名 s2 的第三列：

s2.columns = ['Dates', 'Symbols', 'Close']

【讨论】：