Question

我有一个数据帧，其前5个元素如下所示：

我已从该数据框中删除了所有空值。这是每列的数据类型：

后来，当我尝试使用

获取地块时

data.plot(x=data.timestamp, style='.-')

它显示此错误：

KeyError                                  Traceback (most recent call last)
<ipython-input-48-e11e322ec19a> in <module>
      4 
      5 # data.coffees.plot(x=data.timestamp, style='.-')
----> 6 data.plot(x=data.timestamp, style='.-')
      7 # import matplotlib.pyplot as plt
      8 # plt.plot(x=data.timestamp, y=data.coffees, style=".-")

~/Softwares-and-tools/Anaconda3/lib/python3.6/site-packages/pandas/plotting/_core.py in __call__(self, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)
   2939                           fontsize=fontsize, colormap=colormap, table=table,
   2940                           yerr=yerr, xerr=xerr, secondary_y=secondary_y,
-> 2941                           sort_columns=sort_columns, **kwds)
   2942     __call__.__doc__ = plot_frame.__doc__
   2943 

~/Softwares-and-tools/Anaconda3/lib/python3.6/site-packages/pandas/plotting/_core.py in plot_frame(data, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)
   1975                  yerr=yerr, xerr=xerr,
   1976                  secondary_y=secondary_y, sort_columns=sort_columns,
-> 1977                  **kwds)
   1978 
   1979 

~/Softwares-and-tools/Anaconda3/lib/python3.6/site-packages/pandas/plotting/_core.py in _plot(data, x, y, subplots, ax, kind, **kwds)
   1764                 if is_integer(x) and not data.columns.holds_integer():
   1765                     x = data_cols[x]
-> 1766                 elif not isinstance(data[x], ABCSeries):
   1767                     raise ValueError("x must be a label or position")
   1768                 data = data.set_index(x)

~/Softwares-and-tools/Anaconda3/lib/python3.6/site-packages/pandas/core/frame.py in __getitem__(self, key)
   2680         if isinstance(key, (Series, np.ndarray, Index, list)):
   2681             # either boolean or fancy integer index
-> 2682             return self._getitem_array(key)
   2683         elif isinstance(key, DataFrame):
   2684             return self._getitem_frame(key)

~/Softwares-and-tools/Anaconda3/lib/python3.6/site-packages/pandas/core/frame.py in _getitem_array(self, key)
   2724             return self._take(indexer, axis=0)
   2725         else:
-> 2726             indexer = self.loc._convert_to_indexer(key, axis=1)
   2727             return self._take(indexer, axis=1)
   2728 

~/Softwares-and-tools/Anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py in _convert_to_indexer(self, obj, axis, is_setter)
   1325                 if mask.any():
   1326                     raise KeyError('{mask} not in index'
-> 1327                                    .format(mask=objarr[mask]))
   1328 
   1329                 return com._values_from_object(indexer)

KeyError: "['2011-10-03T08:22:00.000000000' '2011-10-04T11:48:00.000000000'\n '2011-10-05T10:47:00.000000000' '2011-10-05T13:15:00.000000000'\n '2011-10-06T07:21:00.000000000' '2011-10-06T10:04:00.000000000'\n '2011-10-06T12:14:00.000000000' '2011-10-06T12:49:00.000000000'\n '2011-10-06T14:52:00.000000000' '2011-10-07T07:34:00.000000000'\n '2011-10-07T08:37:00.000000000' '2011-10-07T11:09:00.000000000'\n '2011-10-07T13:14:00.000000000' '2011-10-07T15:20:00.000000000'\n '2011-10-07T16:50:00.000000000' '2011-10-09T16:53:00.000000000'\n '2011-10-10T07:29:00.000000000' '2011-10-10T10:13:00.000000000'\n '2011-10-10T13:41:00.000000000' '2011-10-10T14:02:00.000000000'\n '2011-10-10T15:23:00.000000000' '2011-10-11T14:09:00.000000000'\n '2011-10-12T08:11:00.000000000' '2011-10-12T09:57:00.000000000'\n '2011-10-12T10:06:00.000000000' '2011-10-12T12:01:00.000000000'\n '2011-10-12T12:30:00.000000000' '2011-10-12T13:56:00.000000000'\n '2011-10-13T09:10:00.000000000' '2011-10-13T10:52:00.000000000'\n '2011-10-13T11:04:00.000000000' '2011-10-13T14:41:00.000000000'\n '2011-10-13T15:06:00.000000000' '2011-10-13T15:45:00.000000000'\n '2011-10-13T15:58:00.000000000' '2011-10-14T09:02:00.000000000'\n '2011-10-14T10:02:00.000000000' '2011-10-14T14:07:00.000000000'\n '2011-10-17T09:24:00.000000000' '2011-10-17T11:19:00.000000000'\n '2011-10-17T14:05:00.000000000' '2011-10-18T09:20:00.000000000'\n '2011-10-18T09:39:00.000000000' '2011-10-18T11:32:00.000000000'\n '2011-10-18T12:54:00.000000000' '2011-10-19T09:15:00.000000000'\n '2011-10-19T09:31:00.000000000' '2011-10-19T14:08:00.000000000'\n '2011-10-19T15:11:00.000000000' '2011-10-20T13:01:00.000000000'\n '2011-10-20T15:59:00.000000000' '2011-10-21T10:39:00.000000000'\n '2011-10-21T13:15:00.000000000' '2011-10-21T15:09:00.000000000'\n '2011-10-24T09:51:00.000000000' '2011-10-24T10:15:00.000000000'\n '2011-10-24T10:21:00.000000000' '2011-10-24T14:32:00.000000000'\n '2011-10-25T07:54:00.000000000' '2011-10-25T09:37:00.000000000'\n '2011-10-25T14:30:00.000000000' '2011-10-25T17:52:00.000000000'\n '2011-10-26T09:15:00.000000000' '2011-10-26T09:42:00.000000000'\n '2011-10-26T11:59:00.000000000' '2011-10-26T13:38:00.000000000'\n '2011-10-27T08:03:00.000000000' '2011-10-27T11:14:00.000000000'\n '2011-10-27T13:51:00.000000000' '2011-10-28T13:33:00.000000000'\n '2011-10-31T10:58:00.000000000' '2011-10-31T11:00:00.000000000'\n '2011-10-31T13:58:00.000000000' '2011-10-31T14:35:00.000000000'\n '2011-11-01T08:21:00.000000000' '2011-11-01T09:33:00.000000000'\n '2011-11-01T10:13:00.000000000' '2011-11-01T15:07:00.000000000'\n '2011-11-01T15:19:00.000000000' '2011-11-02T10:56:00.000000000'\n '2011-11-03T09:52:00.000000000' '2011-11-04T10:41:00.000000000'\n '2011-11-04T13:22:00.000000000' '2011-11-08T13:32:00.000000000'\n '2011-11-08T15:08:00.000000000' '2011-11-09T12:09:00.000000000'\n '2011-11-09T13:57:00.000000000' '2011-11-10T10:26:00.000000000'\n '2011-11-10T15:36:00.000000000' '2011-11-10T15:52:00.000000000'\n '2011-11-11T10:27:00.000000000' '2011-11-11T12:19:00.000000000'\n '2011-11-11T13:29:00.000000000' '2011-11-14T10:53:00.000000000'\n '2011-11-14T19:21:00.000000000' '2011-11-15T10:32:00.000000000'\n '2011-11-15T15:04:00.000000000' '2011-11-15T16:00:00.000000000'\n '2011-11-16T09:24:00.000000000' '2011-11-16T09:58:00.000000000'\n '2011-11-16T12:57:00.000000000' '2011-11-17T11:24:00.000000000'\n '2011-11-17T13:59:00.000000000' '2011-11-18T11:15:00.000000000'\n '2011-11-18T16:05:00.000000000' '2011-11-20T14:20:00.000000000'\n '2011-11-21T09:21:00.000000000' '2011-11-21T10:06:00.000000000'\n '2011-11-21T11:34:00.000000000' '2011-11-21T11:40:00.000000000'\n '2011-11-21T14:07:00.000000000' '2011-11-23T09:33:00.000000000'\n '2011-11-23T09:45:00.000000000' '2011-11-23T12:31:00.000000000'\n '2011-11-24T11:27:00.000000000' '2011-11-24T13:33:00.000000000'\n '2011-11-24T14:13:00.000000000' '2011-11-24T15:00:00.000000000'\n '2011-11-28T09:41:00.000000000' '2011-11-30T13:20:00.000000000'\n '2011-12-01T11:12:00.000000000' '2011-12-03T17:02:00.000000000'\n '2011-12-05T14:53:00.000000000' '2011-12-06T10:36:00.000000000'\n '2011-12-06T11:29:00.000000000' '2011-12-06T13:57:00.000000000'\n '2011-12-07T10:37:00.000000000' '2011-12-07T11:33:00.000000000'\n '2011-12-07T15:02:00.000000000' '2011-12-08T13:56:00.000000000'\n '2011-12-09T10:32:00.000000000' '2011-12-09T15:47:00.000000000'\n '2011-12-09T17:29:00.000000000' '2011-12-12T09:30:00.000000000'\n '2011-12-12T13:42:00.000000000' '2011-12-13T10:08:00.000000000'\n '2011-12-13T13:32:00.000000000' '2011-12-13T13:36:00.000000000'\n '2011-12-13T15:09:00.000000000' '2011-12-19T12:09:00.000000000'\n '2012-01-11T14:42:00.000000000' '2012-01-11T17:13:00.000000000'\n '2012-01-13T10:31:00.000000000' '2012-01-13T14:59:00.000000000'\n '2012-01-16T09:58:00.000000000' '2012-01-16T11:58:00.000000000'\n '2012-01-16T13:51:00.000000000' '2012-01-16T15:28:00.000000000'\n '2012-01-18T11:14:00.000000000' '2012-01-18T14:28:00.000000000'\n '2012-01-18T18:02:00.000000000' '2012-01-20T15:11:00.000000000'\n '2012-01-21T13:48:00.000000000' '2012-01-23T11:51:00.000000000'\n '2012-01-23T13:15:00.000000000' '2012-01-24T10:29:00.000000000'\n '2012-01-25T09:44:00.000000000' '2012-01-25T10:03:00.000000000'\n '2012-01-26T10:18:00.000000000' '2012-01-26T13:02:00.000000000'\n '2012-01-27T10:33:00.000000000' '2012-01-27T11:01:00.000000000'\n '2012-01-27T14:23:00.000000000' '2012-01-28T13:35:00.000000000'\n '2012-01-30T09:02:00.000000000' '2012-01-30T10:05:00.000000000'\n '2012-01-30T13:30:00.000000000' '2012-02-01T09:21:00.000000000'\n '2012-02-01T12:31:00.000000000' '2012-02-01T13:30:00.000000000'\n '2012-02-01T16:21:00.000000000' '2012-02-02T10:10:00.000000000'\n '2012-02-02T13:36:00.000000000' '2012-02-03T12:24:00.000000000'\n '2012-02-03T15:38:00.000000000' '2012-02-04T11:48:00.000000000'\n '2012-02-04T14:55:00.000000000' '2012-02-05T13:40:00.000000000'\n '2012-02-05T15:33:00.000000000' '2012-02-06T07:45:00.000000000'\n '2012-02-06T10:55:00.000000000' '2012-02-06T11:34:00.000000000'\n '2012-02-06T12:42:00.000000000' '2012-02-06T17:50:00.000000000'\n '2012-02-08T11:17:00.000000000' '2012-02-10T07:44:00.000000000'\n '2012-02-10T12:52:00.000000000' '2012-02-10T16:32:00.000000000'\n '2012-02-11T12:35:00.000000000' '2012-02-12T13:45:00.000000000'\n '2012-02-13T16:31:00.000000000' '2012-02-17T13:38:00.000000000'\n '2012-02-19T15:29:00.000000000' '2012-02-20T12:13:00.000000000'\n '2012-02-20T17:12:00.000000000' '2012-02-21T08:49:00.000000000'\n '2012-02-22T09:54:00.000000000' '2012-02-22T13:23:00.000000000'\n '2012-02-22T16:05:00.000000000' '2012-02-22T16:08:00.000000000'\n '2012-02-23T15:57:00.000000000' '2012-02-24T13:44:00.000000000'\n '2012-02-25T16:39:00.000000000' '2012-02-27T08:42:00.000000000'\n '2012-02-27T15:35:00.000000000' '2012-02-28T11:13:00.000000000'\n '2012-02-29T09:27:00.000000000' '2012-02-29T12:57:00.000000000'\n '2012-03-01T10:07:00.000000000' '2012-03-01T14:24:00.000000000'\n '2012-03-02T15:13:00.000000000' '2012-03-04T15:07:00.000000000'\n '2012-03-06T11:13:00.000000000' '2012-03-07T12:50:00.000000000'\n '2012-03-08T12:59:00.000000000' '2012-03-09T12:45:00.000000000'\n '2012-03-12T10:17:00.000000000' '2012-03-12T12:07:00.000000000'\n '2012-03-12T17:28:00.000000000' '2012-04-04T09:48:00.000000000'\n '2012-04-04T11:12:00.000000000' '2012-04-04T13:33:00.000000000'\n '2012-04-04T17:00:00.000000000' '2012-04-04T17:02:00.000000000'\n '2012-04-05T10:39:00.000000000' '2012-04-05T11:59:00.000000000'\n '2012-04-10T09:51:00.000000000' '2012-04-10T10:45:00.000000000'\n '2012-04-10T13:55:00.000000000' '2012-04-11T11:37:00.000000000'\n '2012-04-26T16:45:00.000000000' '2012-04-26T17:59:00.000000000'\n '2012-04-27T11:03:00.000000000' '2012-04-27T13:16:00.000000000'\n '2012-04-30T08:58:00.000000000' '2012-04-30T13:15:00.000000000'\n '2012-04-30T14:54:00.000000000' '2012-05-01T14:11:00.000000000'\n '2012-05-02T12:00:00.000000000' '2012-05-02T13:25:00.000000000'\n '2012-05-03T12:14:00.000000000' '2012-05-03T13:13:00.000000000'\n '2012-05-04T11:08:00.000000000' '2012-05-07T10:17:00.000000000'\n '2012-05-07T12:56:00.000000000' '2012-05-07T13:31:00.000000000'\n '2012-05-07T18:20:00.000000000' '2012-05-08T11:34:00.000000000'\n '2012-05-08T11:47:00.000000000' '2012-05-09T12:54:00.000000000'\n '2012-05-09T14:10:00.000000000' '2012-05-09T16:55:00.000000000'\n '2012-05-10T12:12:00.000000000' '2012-05-10T15:44:00.000000000'\n '2012-05-10T17:59:00.000000000' '2012-05-11T15:40:00.000000000'\n '2012-05-12T09:50:00.000000000' '2012-05-14T10:02:00.000000000'\n '2012-05-14T12:23:00.000000000' '2012-05-14T15:27:00.000000000'\n '2012-05-15T09:07:00.000000000' '2012-05-15T09:19:00.000000000'\n '2012-05-15T13:06:00.000000000' '2012-05-15T13:42:00.000000000'\n '2012-05-16T09:17:00.000000000' '2012-05-16T10:25:00.000000000'\n '2012-05-16T13:24:00.000000000' '2012-05-16T16:05:00.000000000'\n '2012-05-16T16:57:00.000000000' '2012-05-17T09:22:00.000000000'\n '2012-05-17T13:02:00.000000000' '2012-05-17T14:25:00.000000000'\n '2012-05-17T18:48:00.000000000' '2012-05-18T09:19:00.000000000'\n '2012-05-18T12:57:00.000000000' '2012-05-18T13:14:00.000000000'\n '2012-05-20T14:00:00.000000000' '2012-05-21T09:15:00.000000000'\n '2012-05-21T14:40:00.000000000' '2012-05-22T10:08:00.000000000'\n '2012-05-22T13:23:00.000000000' '2012-05-24T09:23:00.000000000'\n '2012-05-24T13:23:00.000000000' '2012-05-24T15:51:00.000000000'\n '2012-05-25T09:19:00.000000000' '2012-05-25T11:10:00.000000000'\n '2012-05-25T11:55:00.000000000' '2012-05-25T12:34:00.000000000'\n '2012-05-26T15:40:00.000000000' '2012-05-28T09:16:00.000000000'\n '2012-05-28T12:57:00.000000000' '2012-05-28T19:24:00.000000000'\n '2012-05-29T11:07:00.000000000' '2012-05-29T13:29:00.000000000'\n '2012-05-31T09:09:00.000000000' '2012-05-31T12:41:00.000000000'\n '2012-05-31T17:24:00.000000000' '2012-06-01T09:20:00.000000000'\n '2012-06-01T13:27:00.000000000' '2012-06-01T18:50:00.000000000'\n '2012-06-04T08:42:00.000000000' '2012-06-04T12:24:00.000000000'\n '2012-06-04T13:25:00.000000000' '2012-06-04T15:09:00.000000000'\n '2012-06-05T15:29:00.000000000' '2012-06-05T16:56:00.000000000'\n '2012-06-06T09:18:00.000000000' '2012-06-06T10:20:00.000000000'\n '2012-06-06T13:33:00.000000000' '2012-06-06T15:42:00.000000000'\n '2012-06-07T08:44:00.000000000' '2012-06-07T09:30:00.000000000'\n '2012-06-07T13:36:00.000000000' '2012-06-07T17:32:00.000000000'\n '2012-06-07T19:11:00.000000000' '2012-06-08T09:53:00.000000000'\n '2012-06-08T10:04:00.000000000' '2012-06-08T11:55:00.000000000'\n '2012-06-11T09:13:00.000000000' '2012-06-11T12:41:00.000000000'\n '2012-06-11T13:25:00.000000000' '2012-06-11T14:59:00.000000000'\n '2012-06-11T16:01:00.000000000' '2012-06-11T19:08:00.000000000'\n '2012-06-12T08:15:00.000000000' '2012-06-15T12:40:00.000000000'\n '2012-06-15T12:43:00.000000000' '2012-06-17T13:43:00.000000000'\n '2012-06-17T17:44:00.000000000' '2012-06-18T09:12:00.000000000'\n '2012-06-18T13:02:00.000000000' '2012-06-18T17:55:00.000000000'\n '2012-06-19T11:28:00.000000000' '2012-06-20T12:49:00.000000000'\n '2012-06-26T11:18:00.000000000' '2012-06-26T15:05:00.000000000'\n '2012-06-26T19:35:00.000000000' '2012-06-27T12:06:00.000000000'\n '2012-06-28T11:46:00.000000000' '2012-06-28T17:42:00.000000000'\n '2012-06-29T09:17:00.000000000' '2012-06-29T16:47:00.000000000'\n '2012-07-02T12:12:00.000000000' '2012-07-02T17:09:00.000000000'\n '2012-07-03T12:17:00.000000000' '2012-07-03T16:09:00.000000000'\n '2012-07-04T09:58:00.000000000' '2012-07-04T12:49:00.000000000'\n '2012-07-04T13:42:00.000000000' '2012-07-05T09:16:00.000000000'\n '2012-07-05T12:08:00.000000000' '2012-07-05T16:12:00.000000000'\n '2012-07-06T13:24:00.000000000' '2012-07-06T18:03:00.000000000'\n '2012-07-07T17:12:00.000000000' '2012-07-08T12:03:00.000000000'\n '2012-07-09T09:20:00.000000000' '2012-07-09T12:15:00.000000000'\n '2012-07-09T14:20:00.000000000' 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熊猫时间序列数据框图未在索引中

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