ts.plot() 和 dataFrame.plot() 抛出错误：“NameError: name '_converter' is not defined”

Question

当运行数据框或系列的plot() 方法时，python 抛出错误。错误的最后一行是NameError: name '_converter' is not defined

我使用的是 Python 3.6，所有其他功能都按预期工作，所以不确定是什么原因造成的。

下面是导致问题的代码示例，下面是导致的错误。

import pandas as pd
import numpy as np
import matplotlib
import matplotlib.pyplot as plt

ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
ts = ts.cumsum()
ts.plot()

返回的错误如下所示：

NameError                                 Traceback (most recent call last)
<ipython-input-336-8fe4bd433d4d> in <module>()
----> 1 ts.plot()
      2 
      3 plt.plot(ts)

c:\users\fguih\appdata\local\programs\python\python36\lib\site-packages\pandas\plotting\_core.py in __call__(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)
   2501                            colormap=colormap, table=table, yerr=yerr,
   2502                            xerr=xerr, label=label, secondary_y=secondary_y,
-> 2503                            **kwds)
   2504     __call__.__doc__ = plot_series.__doc__
   2505 

c:\users\fguih\appdata\local\programs\python\python36\lib\site-packages\pandas\plotting\_core.py in plot_series(data, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)
   1925                  yerr=yerr, xerr=xerr,
   1926                  label=label, secondary_y=secondary_y,
-> 1927                  **kwds)
   1928 
   1929 

c:\users\fguih\appdata\local\programs\python\python36\lib\site-packages\pandas\plotting\_core.py in _plot(data, x, y, subplots, ax, kind, **kwds)
   1725                             pass
   1726                 data = series
-> 1727         plot_obj = klass(data, subplots=subplots, ax=ax, kind=kind, **kwds)
   1728 
   1729     plot_obj.generate()

c:\users\fguih\appdata\local\programs\python\python36\lib\site-packages\pandas\plotting\_core.py in __init__(self, data, **kwargs)
    929 
    930     def __init__(self, data, **kwargs):
--> 931         MPLPlot.__init__(self, data, **kwargs)
    932         if self.stacked:
    933             self.data = self.data.fillna(value=0)

c:\users\fguih\appdata\local\programs\python\python36\lib\site-packages\pandas\plotting\_core.py in __init__(self, data, kind, by, subplots, sharex, sharey, use_index, figsize, grid, legend, rot, ax, fig, title, xlim, ylim, xticks, yticks, sort_columns, fontsize, secondary_y, colormap, table, layout, **kwds)
     98                  table=False, layout=None, **kwds):
     99 
--> 100         _converter._WARN = False
    101         self.data = data
    102         self.by = by

NameError: name '_converter' is not defined

Answer 1

基于 nbkhope 的评论：

重启你的python解释器

就我而言，停止并重新开始jupyter notebook

（我花了太长时间来调试这个问题，所以我将其发布为答案）

Answer 2

如果您在绘图前使用pd.Series.asfreq 将时间序列捕捉到每日频率，则可以实现此目的：

ts.asfreq('D').plot(); 
plt.show()

Answer 3

在使用 pandas 0.22 时遇到问题。*
更新到 pandas 0.23.0。
问题似乎已解决。