Seaborn ValueError：零尺寸数组到最小化运算的最小值，没有标识

如何解决Seaborn ValueError：零尺寸数组到最小化运算的最小值，没有标识

我从他们自己的website中运行了这个散布图的原始示例，

import seaborn as sns; sns.set()
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")

# this works:
ax = sns.scatterplot(x="total_bill",y="tip",data=tips)

# But adding 'hue' gives the error below:
ax = sns.scatterplot(x="total_bill",hue="time",data=tips)

此错误：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
e:\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)

e:\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))

e:\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':

e:\Anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self,filename,dpi,facecolor,edgecolor,orientation,format,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(

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

e:\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self,renderer)
   1861 
   1862             self.patch.draw(renderer)
-> 1863             mimage._draw_list_compositing_images(
   1864                 renderer,self,artists,self.suppressComposite)
   1865 

e:\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer,parent,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

e:\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist,**kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

e:\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

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

e:\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer,**kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

e:\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 

e:\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist,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):

e:\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):

e:\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,None,where)
     44 
     45 def _sum(a,dtype=None,ValueError: zero-size array to reduction operation minimum which has no identity

昨天确实有效。但是，我运行了使用conda update --all的更新。有什么改变吗？

这是怎么回事？

我在Linux机器上运行python。

Pandas:  1.1.0.
Numpy:   1.19.1.
Seaborn api:  0.10.1.

解决方法

• matplotlib==3.3.2的这个问题似乎已解决
• seaborn: Scatterplot fails with matplotlib==3.3.1 #2194
• 使用matplotlib版3.3.1
• 一种解决方法是使用list将hue发送到.tolist()
  • 使用hue=tips.time.tolist()。
• 正常行为会在图例中添加title，但是向list发送hue不会添加图例标题。
  • 图例标题可以手动添加。

import seaborn as sns

# load data
tips = sns.load_dataset("tips")

# But adding 'hue' gives the error below:
ax = sns.scatterplot(x="total_bill",y="tip",hue=tips.time.tolist(),data=tips)
ax.legend(title='time')  # add a title to the legend

,

鉴于3.3.1中存在已知错误，我运行了conda install -c conda-forge matplotlib==3.3.0。

正确的答案，但不是一个好的解决方案。