Seaborn ValueError : ID가없는 축소 작업 최소값에 대한 크기가 0 인 배열
Aug 16 2020
나는 자신의 웹 사이트 에서이 산점도 seaborn 예제를 실행했습니다 .
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", y="tip", hue="time", data=tips)
이 오류 :
---------------------------------------------------------------------------
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, 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(
e:\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:
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, 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
e:\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:
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, renderer, inframe)
2746 renderer.stop_rasterizing()
2747
-> 2748 mimage._draw_list_compositing_images(renderer, self, artists)
2749
2750 renderer.close_group('axes')
e:\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
e:\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:
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, *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:
e:\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):
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, 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
어제는 작동했습니다. 그러나 conda update --all. 변경된 사항이 있습니까?
무슨 일이야?
Linux 컴퓨터에서 파이썬을 실행합니다.
Pandas: 1.1.0.
Numpy: 1.19.1.
Seaborn api: 0.10.1.
답변
27 TrentonMcKinney Aug 28 2020 at 20:22
- 이 문제는 다음에 대해 해결 된 것 같습니다.
matplotlib==3.3.2 - seaborn : 산점도는 matplotlib == 3.3.1 # 2194로 실패합니다.
- 와
matplotlib버전3.3.1 - 해결 방법은 보낼 수 있습니다
list에를hue사용하여,.tolist()- 사용
hue=tips.time.tolist().
- 사용
- 정상적인 동작은 추가
title전설에 있지만 전송list하려면hue범례 제목을 추가하지 않습니다.- 범례 제목은 수동으로 추가 할 수 있습니다.
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
7 MartienLubberink Aug 28 2020 at 20:13
conda install -c conda-forge matplotlib==3.3.03.3.1에서 알려진 오류 가 주어졌습니다.
정답이지만 훌륭한 솔루션은 아닙니다.