大熊貓變換時間序列爲多列數據幀

我有盤中日數據的時間序列看起來像下面大熊貓變換時間序列爲多列數據幀

ts =pd.Series(np.random.randn(60),index=pd.date_range('1/1/2000',periods=60, freq='2h'))

我希望將數據轉換成數據幀，與列作爲每個日期和行作爲在日期的時間。

我嘗試了這些，

key = lambda x:x.date() 
grouped = ts.groupby(key)

但我怎麼轉換羣體納入日期數據幀過柱？或者有沒有更好的辦法？

來源

2013-02-16 tesla1060

import pandas as pd 
import numpy as np 

index = pd.date_range('1/1/2000', periods=60, freq='2h') 
ts = pd.Series(np.random.randn(60), index = index) 

key = lambda x: x.time() 
groups = ts.groupby(key) 

print pd.DataFrame({k:g for k,g in groups}).resample('D').T

出來：

  2000-01-01 2000-01-02 2000-01-03 2000-01-04 2000-01-05 2000-01-06 \ 
00:00:00 0.109959 -0.124291 -0.137365 0.054729 -1.305821 -1.928468 
03:00:00 1.336467 0.874296 0.153490 -2.410259 0.906950 1.860385 
06:00:00 -1.172638 -0.410272 -0.800962 0.568965 -0.270307 -2.046119 
09:00:00 -0.707423 1.614732 0.779645 -0.571251 0.839890 0.435928 
12:00:00 0.865577 -0.076702 -0.966020 0.589074 0.326276 -2.265566 
15:00:00 1.845865 -1.421269 -0.141785 0.433011 -0.063286 0.129706 
18:00:00 -0.054569 0.277901 0.383375 -0.546495 -0.644141 -0.207479 
21:00:00 1.056536 0.031187 -1.667686 -0.270580 -0.678205 0.750386 

      2000-01-07 2000-01-08 
00:00:00 -0.657398 -0.630487 
03:00:00 2.205280 -0.371830 
06:00:00 -0.073235 0.208831 
09:00:00 1.720097 -0.312353 
12:00:00 -0.774391   NaN 
15:00:00 0.607250   NaN 
18:00:00 1.379823   NaN 
21:00:00 0.959811   NaN

來源

2013-02-16 08:40:42 root

大熊貓變換時間序列爲多列數據幀

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