'Line2D' 对象在 pd.plot() 中没有属性 'ylabel' 错误

Question

我正在尝试使用 pandas 绘图库中的 df.plot 进行绘图，并且正在使用以下代码：

df_mean.plot(kind='line', subplots=True, layout=(1,8), figsize=(40,8), 
         sharey=True, ylabel = "Percent Change", title="Average movement")

我认为这可能与使用 np.transpose() 有关，因为它会将其转换为 numpy 数组，但在转换回 pd.DataFrame() 后，错误仍然存​​在。

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-269-85f6c80ca026> in <module>
      1 df_mean = pd.DataFrame(df_mean)
      2 
----> 3 df_mean.plot(kind='line', subplots=True, layout=(1,8), figsize=(40,8), 
      4              title="Average movement",
      5              sharey=True, ylabel = "Percent Change")

~\anaconda3\lib\site-packages\pandas\plotting\_core.py in __call__(self, *args, 
**kwargs)
    845             keyword_args = ", ".join(
    846                 f"{name}={repr(value)}" for (name, default), value in 
zip(arg_def, args)
--> 847             )
    848             msg = (
    849                 "`Series.plot()` should not be called with positional "

~\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\__init__.py in plot(data, 
kind, **kwargs)
     59             kwargs["ax"] = getattr(ax, "left_ax", ax)
     60     plot_obj = PLOT_CLASSES[kind](data, **kwargs)
---> 61     plot_obj.generate()
     62     plot_obj.draw()
     63     return plot_obj.result

~\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\core.py in generate(self)
    261         else:
    262             return self.data.shape[1]
--> 263 
    264     def draw(self):
    265         self.plt.draw_if_interactive()

~\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\core.py in 
_make_plot(self)
   1075             self.data = self.data.fillna(value=0)
   1076         self.x_compat = plot_params["x_compat"]
-> 1077         if "x_compat" in self.kwds:
   1078             self.x_compat = bool(self.kwds.pop("x_compat"))
   1079 

~\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\core.py in _plot(cls, ax, 
x, y, style, column_num, stacking_id, **kwds)
   1102 
   1103         stacking_id = self._get_stacking_id()
-> 1104         is_errorbar = com.any_not_none(*self.errors.values())
   1105 
   1106         colors = self._get_colors()

~\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\converter.py in 
wrapper(*args, **kwargs)
     64         with pandas_converters():
     65             return func(*args, **kwargs)
---> 66 
     67     return wrapper
     68 

~\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\core.py in _plot(cls, ax, 
x, y, style, is_errorbar, **kwds)
    654 
    655         if is_errorbar:
--> 656             if "xerr" in kwds:
    657                 kwds["xerr"] = np.array(kwds.get("xerr"))
    658             if "yerr" in kwds:

~\anaconda3\lib\site-packages\matplotlib\axes\_axes.py in plot(self, scalex, 
scaley, data, *args, **kwargs)
   1741         
   1742         kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
-> 1743         lines = [*self._get_lines(*args, data=data, **kwargs)]
   1744         for line in lines:
   1745             self.add_line(line)

~\anaconda3\lib\site-packages\matplotlib\axes\_base.py in __call__(self, data, 
*args, **kwargs)
    271                 this += args[0],
    272                 args = args[1:]
--> 273             yield from self._plot_args(this, kwargs)
    274 
    275     def get_next_color(self):

 ~\anaconda3\lib\site-packages\matplotlib\axes\_base.py in _plot_args(self, tup, 
kwargs)
    416         if ncx > 1 and ncy > 1 and ncx != ncy:
    417             raise ValueError(f"x has {ncx} columns but y has {ncy} 
columns")
--> 418         return [func(x[:, j % ncx], y[:, j % ncy], kw, kwargs)
    419                 for j in range(max(ncx, ncy))]
    420 

~\anaconda3\lib\site-packages\matplotlib\axes\_base.py in <listcomp>(.0)
    416         if ncx > 1 and ncy > 1 and ncx != ncy:
    417             raise ValueError(f"x has {ncx} columns but y has {ncy} 
 columns")
--> 418         return [func(x[:, j % ncx], y[:, j % ncy], kw, kwargs)
    419                 for j in range(max(ncx, ncy))]
    420 

 ~\anaconda3\lib\site-packages\matplotlib\axes\_base.py in _makeline(self, x, y, 
kw, kwargs)
    310         default_dict = self._getdefaults(set(), kw)
    311         self._setdefaults(default_dict, kw)
--> 312         seg = mlines.Line2D(x, y, **kw)
    313         return seg
    314 

~\anaconda3\lib\site-packages\matplotlib\lines.py in __init__(self, xdata, ydata, 
linewidth, linestyle, color, marker, markersize, markeredgewidth, markeredgecolor, 
markerfacecolor, markerfacecoloralt, fillstyle, antialiased, dash_capstyle, 
solid_capstyle, dash_joinstyle, solid_joinstyle, pickradius, drawstyle, markevery, 
**kwargs)
    388         # update kwargs before updating data to give the caller a
    389         # chance to init axes (and hence unit support)
--> 390         self.update(kwargs)
    391         self.pickradius = pickradius
    392         self.ind_offset = 0

 ~\anaconda3\lib\site-packages\matplotlib\artist.py in update(self, props)
     994                     func = getattr(self, f"set_{k}", None)
     995                     if not callable(func):
 --> 996                         raise AttributeError(f"{type(self).__name__!r} 
object "
    997                                              f"has no property {k!r}")
    998                     ret.append(func(v))

AttributeError: 'Line2D' object has no property 'ylabel'

我能够在我的 Mac 上正常运行这段代码，但是当我将它传输到我的桌面时，我收到了这个错误，我不知道为什么。我以为可能是版本问题，但我更新了 pandas 并没有解决任何问题。

有人知道是什么导致了这样的事情吗？

Answer 1

你可以试试这个技巧：

如果ylabel参数有问题，把它去掉，直接设置为ax。

ax = df_mean.plot(kind='line', subplots=True, layout=(1,8), figsize=(40,8), 
         sharey=True, title="Average movement")
ax.set_ylabel('Percent Change')
plt.show()