Seaborn 的 relplot 給出了 ValueError

Question

我正在嘗試在 seaborn 中做一些 relplots。 但我得到了 VueError。 這是我的代碼：

tips = sns.load_dataset("tips")
sns.relplot(x="total_bill", y="tip", data=tips, kind='scatter', hue='sex')

我收到一條很長的錯誤消息。 我只粘貼錯誤消息的最后一部分。

ValueError: zero-size array to reduction operation minimum which has no identity

我正在使用 seaborn 版本 0.10.0

這是完整的錯誤信息：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-41-ab3b3558717c> in <module>
----> 1 sns.relplot(data=df, x="speeding", y="alcohol", hue="abbrev")

~\Anaconda3\lib\site-packages\seaborn\relational.py in relplot(x, y, hue, size, style, data, row, col, col_wrap, row_order, col_order, palette, hue_order, hue_norm, sizes, size_order, size_norm, markers, dashes, style_order, legend, kind, height, aspect, facet_kws, **kwargs)
   1707         if p.legend_data:
   1708             g.add_legend(legend_data=p.legend_data,
-> 1709                          label_order=p.legend_order)
   1710 
   1711     return g

~\Anaconda3\lib\site-packages\seaborn\axisgrid.py in add_legend(self, legend_data, title, label_order, **kwargs)
    103             # Draw the plot to set the bounding boxes correctly
    104             if hasattr(self.fig.canvas, "get_renderer"):
--> 105                 self.fig.draw(self.fig.canvas.get_renderer())
    106 
    107             # Calculate and set the new width of the figure so the legend fits

~\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

~\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
   1862             self.patch.draw(renderer)
   1863             mimage._draw_list_compositing_images(
-> 1864                 renderer, self, artists, self.suppressComposite)
   1865 
   1866             renderer.close_group('figure')

~\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    129     if not_composite or not has_images:
    130         for a in artists:
--> 131             a.draw(renderer)
    132     else:
    133         # Composite any adjacent images together

~\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

~\Anaconda3\lib\site-packages\matplotlib\cbook\deprecation.py in wrapper(*inner_args, **inner_kwargs)
    409                          else deprecation_addendum,
    410                 **kwargs)
--> 411         return func(*inner_args, **inner_kwargs)
    412 
    413     return wrapper

~\Anaconda3\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
   2746             renderer.stop_rasterizing()
   2747 
-> 2748         mimage._draw_list_compositing_images(renderer, self, artists)
   2749 
   2750         renderer.close_group('axes')

~\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    129     if not_composite or not has_images:
    130         for a in artists:
--> 131             a.draw(renderer)
    132     else:
    133         # Composite any adjacent images together

~\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

~\Anaconda3\lib\site-packages\matplotlib\collections.py in draw(self, renderer)
    929     def draw(self, renderer):
    930         self.set_sizes(self._sizes, self.figure.dpi)
--> 931         Collection.draw(self, renderer)
    932 
    933 

~\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

~\Anaconda3\lib\site-packages\matplotlib\collections.py in draw(self, renderer)
    383             else:
    384                 combined_transform = transform
--> 385             extents = paths[0].get_extents(combined_transform)
    386             if (extents.width < self.figure.bbox.width
    387                     and extents.height < self.figure.bbox.height):

~\Anaconda3\lib\site-packages\matplotlib\path.py in get_extents(self, transform, **kwargs)
    601                 xys.append(curve([0, *dzeros, 1]))
    602             xys = np.concatenate(xys)
--> 603         return Bbox([xys.min(axis=0), xys.max(axis=0)])
    604 
    605     def intersects_path(self, other, filled=True):

~\Anaconda3\lib\site-packages\numpy\core\_methods.py in _amin(a, axis, out, keepdims, initial, where)
     41 def _amin(a, axis=None, out=None, keepdims=False,
     42           initial=_NoValue, where=True):
---> 43     return umr_minimum(a, axis, None, out, keepdims, initial, where)
     44 
     45 def _sum(a, axis=None, dtype=None, out=None, keepdims=False,

ValueError: zero-size array to reduction operation minimum which has no identity

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
~\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
    339                 pass
    340             else:
--> 341                 return printer(obj)
    342             # Finally look for special method names
    343             method = get_real_method(obj, self.print_method)

~\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
    246 
    247     if 'png' in formats:
--> 248         png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
    249     if 'retina' in formats or 'png2x' in formats:
    250         png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))

~\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
    130         FigureCanvasBase(fig)
    131 
--> 132     fig.canvas.print_figure(bytes_io, **kw)
    133     data = bytes_io.getvalue()
    134     if fmt == 'svg':

~\Anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)
   2191                            else suppress())
   2192                     with ctx:
-> 2193                         self.figure.draw(renderer)
   2194 
   2195                     bbox_inches = self.figure.get_tightbbox(

~\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

~\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
   1862             self.patch.draw(renderer)
   1863             mimage._draw_list_compositing_images(
-> 1864                 renderer, self, artists, self.suppressComposite)
   1865 
   1866             renderer.close_group('figure')

~\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    129     if not_composite or not has_images:
    130         for a in artists:
--> 131             a.draw(renderer)
    132     else:
    133         # Composite any adjacent images together

~\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

~\Anaconda3\lib\site-packages\matplotlib\cbook\deprecation.py in wrapper(*inner_args, **inner_kwargs)
    409                          else deprecation_addendum,
    410                 **kwargs)
--> 411         return func(*inner_args, **inner_kwargs)
    412 
    413     return wrapper

~\Anaconda3\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
   2746             renderer.stop_rasterizing()
   2747 
-> 2748         mimage._draw_list_compositing_images(renderer, self, artists)
   2749 
   2750         renderer.close_group('axes')

~\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    129     if not_composite or not has_images:
    130         for a in artists:
--> 131             a.draw(renderer)
    132     else:
    133         # Composite any adjacent images together

~\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

~\Anaconda3\lib\site-packages\matplotlib\collections.py in draw(self, renderer)
    929     def draw(self, renderer):
    930         self.set_sizes(self._sizes, self.figure.dpi)
--> 931         Collection.draw(self, renderer)
    932 
    933 

~\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

~\Anaconda3\lib\site-packages\matplotlib\collections.py in draw(self, renderer)
    383             else:
    384                 combined_transform = transform
--> 385             extents = paths[0].get_extents(combined_transform)
    386             if (extents.width < self.figure.bbox.width
    387                     and extents.height < self.figure.bbox.height):

~\Anaconda3\lib\site-packages\matplotlib\path.py in get_extents(self, transform, **kwargs)
    601                 xys.append(curve([0, *dzeros, 1]))
    602             xys = np.concatenate(xys)
--> 603         return Bbox([xys.min(axis=0), xys.max(axis=0)])
    604 
    605     def intersects_path(self, other, filled=True):

~\Anaconda3\lib\site-packages\numpy\core\_methods.py in _amin(a, axis, out, keepdims, initial, where)
     41 def _amin(a, axis=None, out=None, keepdims=False,
     42           initial=_NoValue, where=True):
---> 43     return umr_minimum(a, axis, None, out, keepdims, initial, where)
     44 
     45 def _sum(a, axis=None, dtype=None, out=None, keepdims=False,

ValueError: zero-size array to reduction operation minimum which has no identity

<Figure size 360x360 with 1 Axes>

Answer 1

請注意，您的 StackTrace 以：

sns.relplot(data=df, x="speeding", y="alcohol", hue="abbrev")   

所以數據參數是df而不是Tips 。

可能您對實際執行程序的內容是錯誤的。

檢查您的df是否包含上述列（超速和酒精）。 或者你的df是空的？

另一個提示（在 SO 上找到）：您的錯誤的實際來源可能在matplotlib版本3.3.1中。

檢查您的matplotlib版本：

import matplotlib
matplotlib.__version__

如果只是3.3.1 ，升級到3.3.2 。