在jupyter notebook中运行绘图遇到InvalidIndexError: (slice(None, None, None), None) 解决

错误代码

x_data = pd.read_csv('E:/bear3/3_3v_tezheng/liutezheng/x.txt',header=None)
y_data = pd.read_csv('E:/bear3/3_3v_tezheng/liutezheng/nengliangshang_guiyihua.txt',header=None)

plt.plot(x_data[730:832],y_data[730:832])
plt.show()

错误：

TypeError                                 Traceback (most recent call last)
File E:\anaconda\lib\site-packages\pandas\core\indexes\base.py:3621, in Index.get_loc(self, key, method, tolerance)
   3620 try:
-> 3621     return self._engine.get_loc(casted_key)
   3622 except KeyError as err:

File E:\anaconda\lib\site-packages\pandas\_libs\index.pyx:136, in pandas._libs.index.IndexEngine.get_loc()

File E:\anaconda\lib\site-packages\pandas\_libs\index.pyx:142, in pandas._libs.index.IndexEngine.get_loc()

TypeError: '(slice(None, None, None), None)' is an invalid key

During handling of the above exception, another exception occurred:

InvalidIndexError                         Traceback (most recent call last)
Input In [62], in <cell line: 3>()
      1 # x_data = np.array(x_data,type(float))
      2 # y_data = np.array(y_data,type(float))
----> 3 plt.plot(x_data[730:832],y_data[730:832])
      4 # plt.plot(x_data[730:832],predict)
      5 plt.show()

File E:\anaconda\lib\site-packages\matplotlib\pyplot.py:2757, in plot(scalex, scaley, data, *args, **kwargs)
   2755 @_copy_docstring_and_deprecators(Axes.plot)
   2756 def plot(*args, scalex=True, scaley=True, data=None, **kwargs):
-> 2757     return gca().plot(
   2758         *args, scalex=scalex, scaley=scaley,
   2759         **({"data": data} if data is not None else {}), **kwargs)

File E:\anaconda\lib\site-packages\matplotlib\axes\_axes.py:1632, in Axes.plot(self, scalex, scaley, data, *args, **kwargs)
   1390 """
   1391 Plot y versus x as lines and/or markers.
   1392 
   (...)
   1629 (``'green'``) or hex strings (``'#008000'``).
   1630 """
   1631 kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
-> 1632 lines = [*self._get_lines(*args, data=data, **kwargs)]
   1633 for line in lines:
   1634     self.add_line(line)

File E:\anaconda\lib\site-packages\matplotlib\axes\_base.py:312, in _process_plot_var_args.__call__(self, data, *args, **kwargs)
    310     this += args[0],
    311     args = args[1:]
--> 312 yield from self._plot_args(this, kwargs)

File E:\anaconda\lib\site-packages\matplotlib\axes\_base.py:488, in _process_plot_var_args._plot_args(self, tup, kwargs, return_kwargs)
    486 if len(xy) == 2:
    487     x = _check_1d(xy[0])
--> 488     y = _check_1d(xy[1])
    489 else:
    490     x, y = index_of(xy[-1])

File E:\anaconda\lib\site-packages\matplotlib\cbook\__init__.py:1327, in _check_1d(x)
   1321 with warnings.catch_warnings(record=True) as w:
   1322     warnings.filterwarnings(
   1323         "always",
   1324         category=Warning,
   1325         message='Support for multi-dimensional indexing')
-> 1327     ndim = x[:, None].ndim
   1328     # we have definitely hit a pandas index or series object
   1329     # cast to a numpy array.
   1330     if len(w) > 0:

File E:\anaconda\lib\site-packages\pandas\core\frame.py:3505, in DataFrame.__getitem__(self, key)
   3503 if self.columns.nlevels > 1:
   3504     return self._getitem_multilevel(key)
-> 3505 indexer = self.columns.get_loc(key)
   3506 if is_integer(indexer):
   3507     indexer = [indexer]

File E:\anaconda\lib\site-packages\pandas\core\indexes\base.py:3628, in Index.get_loc(self, key, method, tolerance)
   3623         raise KeyError(key) from err
   3624     except TypeError:
   3625         # If we have a listlike key, _check_indexing_error will raise
   3626         #  InvalidIndexError. Otherwise we fall through and re-raise
   3627         #  the TypeError.
-> 3628         self._check_indexing_error(key)
   3629         raise
   3631 # GH#42269

File E:\anaconda\lib\site-packages\pandas\core\indexes\base.py:5637, in Index._check_indexing_error(self, key)
   5633 def _check_indexing_error(self, key):
   5634     if not is_scalar(key):
   5635         # if key is not a scalar, directly raise an error (the code below
   5636         # would convert to numpy arrays and raise later any way) - GH29926
-> 5637         raise InvalidIndexError(key)

InvalidIndexError: (slice(None, None, None), None)

其实明面上看，程序本身并没有错误，但就是错在数据文本格式上，解决方案如下。

x_data = np.array(x_data,type(float))
y_data = np.array(y_data,type(float))
plt.plot(x_data[730:832],y_data[730:832])

plt.show()

这样图片就出来了啊，其实不知道什么原因，哪里错了就直接打印出来，就好解决了。