==============================================
import seaborn as sns
iris = pd.read_csv('data/iris.data')
iris.columns =['SepalL', 'SepalW', 'PetalL', 'PetalW', 'Name']
plt.figure(figsize=(8,6))
sns.set_style('whitegrid') # background options: white, dark, ticks, etc.
iris_scat = sns.scatterplot(x='PetalL', y='PetalW', palette='bright', hue='Name', style='Name', s=80, data=iris)
iris_scat.set_title('Iris Distribution by Sepal', fontsize=14)
iris_scat.set(xlabel='Sepal Length(cm)', ylabel= 'Sepal Width(cm)')
plt.show()
==============================================
질문 1. 위 코드를 쥬피터 랩(실행환경은 1주차 강의에서 설명하신대로 구축했습니다.)에서 실행하면
ValueError: zero-size array to reduction operation minimum which has no identity
에러 발생합니다.
ㅇ iris_scat = sns.scatterplot(x='PetalL', y='PetalW', palette='bright', hue='Name', style='Name', s=80, data=iris)
=> iris_scat = sns.scatterplot(x='PetalL', y='PetalW', palette='bright', s=80, data=iris)
이렇게 고치면 에러메시지는 안나오는데 그래프가 강의처럼 나오지 않습니다.
%. iris 데이터
- UC Irvine Machine Learning Repository: https://archive.ics.uci.edu/ml/index.php
링크를 가보면 iris.data가 있고 iris.csv는 없어서 iris.data로 변경해서 불러왔습니다.
앞의 코드 부분은 이상없이 잘 동작했습니다.
전체 에러메시지는 아래와 같습니다.
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
~\anaconda3\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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\envs\kooc\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
comment