Python 索引器：无效的切片

我有以下代码

pd.__version__

hr1 = np.loadtxt("Spot_2013_Hour1.txt")
hr2 = np.loadtxt("Spot_2013_Hour2.txt")
hr3 = np.loadtxt("Spot_2013_Hour3.txt")
hr4 = np.loadtxt("Spot_2013_Hour4.txt")
hr5 = np.loadtxt("Spot_2013_Hour5.txt")
hr6 = np.loadtxt("Spot_2013_Hour6.txt")
hr7 = np.loadtxt("Spot_2013_Hour7.txt")
hr8 = np.loadtxt("Spot_2013_Hour8.txt")
hr9 = np.loadtxt("Spot_2013_Hour9.txt")
hr10 = np.loadtxt("Spot_2013_Hour10.txt")
hr11 = np.loadtxt("Spot_2013_Hour11.txt")
hr12 = np.loadtxt("Spot_2013_Hour12.txt")
hr13 = np.loadtxt("Spot_2013_Hour13.txt")
hr14 = np.loadtxt("Spot_2013_Hour14.txt")
hr15 = np.loadtxt("Spot_2013_Hour15.txt")
hr16 = np.loadtxt("Spot_2013_Hour16.txt")
hr17 = np.loadtxt("Spot_2013_Hour17.txt")
hr18 = np.loadtxt("Spot_2013_Hour18.txt")
hr19 = np.loadtxt("Spot_2013_Hour19.txt")
hr20 = np.loadtxt("Spot_2013_Hour20.txt")
hr21 = np.loadtxt("Spot_2013_Hour21.txt")
hr22 = np.loadtxt("Spot_2013_Hour22.txt")
hr23 = np.loadtxt("Spot_2013_Hour23.txt")
hr24 = np.loadtxt("Spot_2013_Hour24.txt")

# ao[0:2]

# ao.shape

dates = pd.date_range('2013/01/01', '2013/12/31', freq='D')
# dates.shape

Allhrs = Series(index=dates)

Allhrs = DataFrame({'hr1': hr1,'hr2': hr2, 'hr3': hr3, 'hr4': hr4, 'hr5': hr5, 
'hr6': hr6, 'hr7': hr7, 'hr8': hr8, 'hr9': hr9, 'hr10': hr10, 'hr11': hr11, 
'hr12': hr12, 'hr13': hr13, 'hr14': hr14, 'hr15': hr15, 'hr16': hr16, 
'hr17': hr17, 'hr18': hr18, 'hr19': hr19, 'hr20': hr20, 'hr21': hr21, 
'hr22': hr22, 'hr23': hr23, 'hr24': hr24})


Allhrs.head()
# plotting for specific time frames as seen below

Allhrs['2013/01/01':'2013/12/31'].plot()

这就是结果：

Traceback (most recent call last):

  File "<ipython-input-101-f4dabb5e6973>", line 52, in <module>
    Allhrs['2013/01/01':'2013/12/31'].plot()

  File "/Applications/anaconda/lib/python2.7/site-packages/pandas/core/frame.py", line 1674, in __getitem__
    return self._getitem_slice(indexer)

  File "/Applications/anaconda/lib/python2.7/site-packages/pandas/core/frame.py", line 1701, in _getitem_slice
    return self._slice(key, axis=0)

  File "/Applications/anaconda/lib/python2.7/site-packages/pandas/core/generic.py", line 1136, in _slice
    return self._constructor(self._data.get_slice(slobj, axis=axis))

  File "/Applications/anaconda/lib/python2.7/site-packages/pandas/core/internals.py", line 2350, in get_slice
    new_blocks = [blk.getitem_block(slicer) for blk in self.blocks]

  File "/Applications/anaconda/lib/python2.7/site-packages/pandas/core/internals.py", line 164, in getitem_block
    new_values = self._slice(slicer)

  File "/Applications/anaconda/lib/python2.7/site-packages/pandas/core/internals.py", line 148, in _slice
    return self.values[slicer]

IndexError: invalid slice

回溯（最近一次呼叫最后一次）：
文件“”，第52行，在
所有时间['2013/01/01'：'2013/12/31']图（）
文件“/Applications/anaconda/lib/python2.7/site packages/pandas/core/frame.py”，第1674行，在__
返回self.\u getitem\u切片（索引器）
文件“/Applications/anaconda/lib/python2.7/site packages/pandas/core/frame.py”，第1701行，在_getitem_切片中
返回自切面（关键点，轴=0）
文件“/Applications/anaconda/lib/python2.7/site packages/pandas/core/generic.py”，第1136行，在
返回self.\u构造函数（self.\u data.get\u切片（slobj，axis=axis））
文件“/Applications/anaconda/lib/python2.7/site packages/pandas/core/internals.py”，第2350行，在get_切片中
new_blocks=[blk.getitem_block（切片器）用于self.blocks中的blk]
文件“/Applications/anaconda/lib/python2.7/site packages/pandas/core/internals.py”，第164行，在getitem_块中
新值=自切分（切片器）
文件“/Applications/anaconda/lib/python2.7/site packages/pandas/core/internals.py”，第148行，在
返回self.values[切片器]
索引器：无效的切片

有人能告诉我如何正确定义数据帧吗？它说代码行太长）如果我想要24列作为数据帧，我如何使它变短

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谢谢

您必须在片中使用整数，如下所示：

Allhrs[0:10]

而不是：

Allhrs['2013/01/01':'2013/12/31']

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@PeterKnutsen如果答案有帮助，您可以单击箭头下的复选标记接受它。谢谢