Python 使用seaborn在特定x轴点标记绘图
我已经试着解决这个问题好几个小时了，我真的很沮丧。我唯一想做的就是突出显示时间点2、6和10处的绘图（如图所示） 我想创建多个绘图（我有不同的特征（y轴）和组（遮光），我想要这些绘图） 这是我的代码：Python 使用seaborn在特定x轴点标记绘图,python,dataframe,matplotlib,graph,statistics,Python,Dataframe,Matplotlib,Graph,Statistics,我已经试着解决这个问题好几个小时了，我真的很沮丧。我唯一想做的就是突出显示时间点2、6和10处的绘图（如图所示） 我想创建多个绘图（我有不同的特征（y轴）和组（遮光），我想要这些绘图） 这是我的代码： for elem in mylist: for title in myotherlist: to_mark = [False, True, False, False, False, True, False, False, False, True] to_ma
for elem in mylist:
for title in myotherlist:
to_mark = [False, True, False, False, False, True, False, False, False, True]
to_mark2 = [1,5,9]
sns.lineplot(data=data, x="time_point", y=elem, hue=title, err_style="bars", ci=95, markevery = [1,5,9], marker = '|', markersize=20, fillstyle='none', markeredgewidth=1.5, markeredgecolor='black')
plt.savefig(file_path)
plt.clf()
plt.cla()
plt.close()
markevery = to_mark and
markevery = to_mark2
IndexError Traceback (most recent call last)
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in _mark_every_path(markevery, tpath, affine, ax_transform)
215 try:
--> 216 return Path(verts[markevery],
217 _slice_or_none(codes, markevery))
IndexError: index 5 is out of bounds for axis 0 with size 2
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
<ipython-input-318-7c71faf85be6> in <module>()
65
66 #plt.plot()
---> 67 plt.savefig(file_path)
68 #with open(file_path, 'wb') as f:
69 #plt.savefig(file_path)
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\pyplot.py in savefig(*args, **kwargs)
708 def savefig(*args, **kwargs):
709 fig = gcf()
--> 710 res = fig.savefig(*args, **kwargs)
711 fig.canvas.draw_idle() # need this if 'transparent=True' to reset colors
712 return res
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\figure.py in savefig(self, fname, **kwargs)
2033 self.set_frameon(frameon)
2034
-> 2035 self.canvas.print_figure(fname, **kwargs)
2036
2037 if frameon:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2261 orientation=orientation,
2262 bbox_inches_restore=_bbox_inches_restore,
-> 2263 **kwargs)
2264 finally:
2265 if bbox_inches and restore_bbox:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\backends\backend_pdf.py in print_pdf(self, filename, **kwargs)
2584 RendererPdf(file, image_dpi, height, width),
2585 bbox_inches_restore=_bbox_inches_restore)
-> 2586 self.figure.draw(renderer)
2587 renderer.finalize()
2588 if not isinstance(filename, PdfPages):
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\figure.py in draw(self, renderer)
1473
1474 mimage._draw_list_compositing_images(
-> 1475 renderer, self, artists, self.suppressComposite)
1476
1477 renderer.close_group('figure')
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
139 if not_composite or not has_images:
140 for a in artists:
--> 141 a.draw(renderer)
142 else:
143 # Composite any adjacent images together
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2605 renderer.stop_rasterizing()
2606
-> 2607 mimage._draw_list_compositing_images(renderer, self, artists)
2608
2609 renderer.close_group('axes')
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
139 if not_composite or not has_images:
140 for a in artists:
--> 141 a.draw(renderer)
142 else:
143 # Composite any adjacent images together
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in draw(self, renderer)
809 if markevery is not None:
810 subsampled = _mark_every_path(markevery, tpath,
--> 811 affine, self.axes.transAxes)
812 else:
813 subsampled = tpath
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in _mark_every_path(markevery, tpath, affine, ax_transform)
220 raise ValueError('`markevery` is iterable but '
221 'not a valid form of numpy fancy indexing; '
--> 222 'markevery=%s' % (markevery,))
223 else:
224 raise ValueError('Value of `markevery` is not '
ValueError: `markevery` is iterable but not a valid form of numpy fancy indexing; markevery=[1, 5, 9]
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in _mark_every_path(markevery, tpath, affine, ax_transform)
215 try:
--> 216 return Path(verts[markevery],
217 _slice_or_none(codes, markevery))
IndexError: index 5 is out of bounds for axis 0 with size 2
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
330 pass
331 else:
--> 332 return printer(obj)
333 # Finally look for special method names
334 method = get_real_method(obj, self.print_method)
~\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
235
236 if 'png' in formats:
--> 237 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
238 if 'retina' in formats or 'png2x' in formats:
239 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)
119
120 bytes_io = BytesIO()
--> 121 fig.canvas.print_figure(bytes_io, **kw)
122 data = bytes_io.getvalue()
123 if fmt == 'svg':
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2210 orientation=orientation,
2211 dryrun=True,
-> 2212 **kwargs)
2213 renderer = self.figure._cachedRenderer
2214 bbox_inches = self.figure.get_tightbbox(renderer)
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\backends\backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
511
512 def print_png(self, filename_or_obj, *args, **kwargs):
--> 513 FigureCanvasAgg.draw(self)
514 renderer = self.get_renderer()
515 original_dpi = renderer.dpi
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\backends\backend_agg.py in draw(self)
431 # if toolbar:
432 # toolbar.set_cursor(cursors.WAIT)
--> 433 self.figure.draw(self.renderer)
434 # A GUI class may be need to update a window using this draw, so
435 # don't forget to call the superclass.
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\figure.py in draw(self, renderer)
1473
1474 mimage._draw_list_compositing_images(
-> 1475 renderer, self, artists, self.suppressComposite)
1476
1477 renderer.close_group('figure')
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
139 if not_composite or not has_images:
140 for a in artists:
--> 141 a.draw(renderer)
142 else:
143 # Composite any adjacent images together
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2605 renderer.stop_rasterizing()
2606
-> 2607 mimage._draw_list_compositing_images(renderer, self, artists)
2608
2609 renderer.close_group('axes')
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
139 if not_composite or not has_images:
140 for a in artists:
--> 141 a.draw(renderer)
142 else:
143 # Composite any adjacent images together
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in draw(self, renderer)
809 if markevery is not None:
810 subsampled = _mark_every_path(markevery, tpath,
--> 811 affine, self.axes.transAxes)
812 else:
813 subsampled = tpath
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in _mark_every_path(markevery, tpath, affine, ax_transform)
220 raise ValueError('`markevery` is iterable but '
221 'not a valid form of numpy fancy indexing; '
--> 222 'markevery=%s' % (markevery,))
223 else:
224 raise ValueError('Value of `markevery` is not '
ValueError: `markevery` is iterable but not a valid form of numpy fancy indexing; markevery=[1, 5, 9]
索引器错误回溯（最近一次调用）
~\AppData\Roaming\Python\Python36\site packages\matplotlib\lines.py在每一个路径中（每一个标记、第三个路径、仿射、ax变换）
215尝试：
-->216返回路径（顶点[markevery]，
217 _slice_或_none（代码、标记）
索引器：索引5超出大小为2的轴0的界限
在处理上述异常期间，发生了另一个异常：
ValueError回溯（最近一次调用上次）
在（）
65
66#plt.plot（）
--->67 plt.savefig（文件路径）
68#打开（文件路径，'wb'）作为f：
69#plt.savefig（文件路径）
savefig中的~\AppData\Roaming\Python\Python36\site packages\matplotlib\pyplot.py（*args，**kwargs）
708 def savefig（*参数，**kwargs）：
709图=gcf（）
-->710分辨率=图savefig（*args，**kwargs）
711 fig.canvas.draw_idle（）#如果“transparent=True”重置颜色，则需要此选项
712返回res
savefig中的~\AppData\Roaming\Python\Python36\site packages\matplotlib\figure.py（self、fname、**kwargs）
2033自我设置框架（框架）
2034
->2035自我。画布。打印图（fname，**kwargs）
2036
2037如果框架开启：
~\AppData\Roaming\Python\Python36\site packages\matplotlib\backend\u base.py in print\u figure（self、文件名、dpi、facecolor、edgecolor、方向、格式，**kwargs）
2261方向=方向，
2262 bbox\u inches\u restore=\u bbox\u inches\u restore，
->2263**夸尔格）
2264最后：
2265如果bbox_英寸，则恢复bbox：
~\AppData\Roaming\Python\Python36\site packages\matplotlib\backends\backend\u pdf.py打印格式\u pdf（self，filename，**kwargs）
2584渲染器PDF（文件、图像、dpi、高度、宽度），
2585 bbox\u inches\u restore=\u bbox\u inches\u restore）
->2586 self.figure.draw（渲染器）
2587.finalize（）
2588如果不存在（文件名，PdfPages）：
绘图包装中的~\AppData\Roaming\Python\Python36\site packages\matplotlib\artist.py（艺术家、渲染器、*args、**kwargs）
53.start_filter（）
54
--->55返回绘制（艺术家、渲染器、*args、**kwargs）
56.最后：
57如果artist.get_agg_filter（）不是None：
绘图中的~\AppData\Roaming\Python\Python36\site packages\matplotlib\figure.py（self，渲染器）
1473
1474模拟图像。\绘制\列表\合成\图像(
->1475渲染器，自我，艺术家，自我（合成）
1476
1477.关闭_组（“图”）
~\AppData\Roaming\Python\Python36\site packages\matplotlib\image.py in\u draw\u list\u compositing\u图像（渲染器、父级、艺术家、抑制合成）
139如果没有\u复合或没有\u图像：
140对于一个艺术家：
-->141 a.draw（渲染器）
142.其他：
143#将任何相邻图像合成在一起
绘图包装中的~\AppData\Roaming\Python\Python36\site packages\matplotlib\artist.py（艺术家、渲染器、*args、**kwargs）
53.start_filter（）
54
--->55返回绘制（艺术家、渲染器、*args、**kwargs）
56.最后：
57如果artist.get_agg_filter（）不是None：
绘图中的~\AppData\Roaming\Python\Python36\site packages\matplotlib\axes\\u base.py（self、renderer、inframe）
2605.停止光栅化（）
2606
->2607模拟图像。\绘制\列表\合成\图像（渲染器、自身、艺术家）
2608
2609渲染器。关闭_组（“轴”）
~\AppData\Roaming\Python\Python36\site packages\matplotlib\image.py in\u draw\u list\u compositing\u图像（渲染器、父级、艺术家、抑制合成）
139如果没有\u复合或没有\u图像：
140对于一个艺术家：
-->141 a.draw（渲染器）
142.其他：
143#将任何相邻图像合成在一起
绘图包装中的~\AppData\Roaming\Python\Python36\site packages\matplotlib\artist.py（艺术家、渲染器、*args、**kwargs）
53.start_filter（）
54
--->55返回绘制（艺术家、渲染器、*args、**kwargs）
56.最后：
57如果artist.get_agg_filter（）不是None：
绘图中的~\AppData\Roaming\Python\Python36\site packages\matplotlib\lines.py（self，渲染器）
809如果markevery不是None：
810二次抽样=_标记_每条路径（标记每一条路径，第三条路径，
-->811仿射、自轴、变速）
812其他：
813二次取样=t次取样
~\AppData\Roaming\Python\Python36\site packages\matplotlib\lines.py在每一个路径中（每一个标记、第三个路径、仿射、ax变换）
220 raise VALUE ERROR（'markevery'可编辑，但'
221“不是有效的numpy花式索引形式；”
-->222“标记间隔=%s%”（标记间隔，）
223其他：
224 raise Value ERROR（'markevery'的值不是'
ValueError:`markevery`是iterable，但不是numpy花式索引的有效形式；markevery=[1,5,9]
---------------------------------------------------------------------------
索引器回溯（最后一次最近调用）
~\AppData\Roaming\Python\Python36\site packages\matplotlib\lines.py在每一个路径中（每一个标记、第三个路径、仿射、ax变换）
215
IndexError Traceback (most recent call last)
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in _mark_every_path(markevery, tpath, affine, ax_transform)
215 try:
--> 216 return Path(verts[markevery],
217 _slice_or_none(codes, markevery))
IndexError: boolean index did not match indexed array along dimension 0; dimension is 2 but corresponding boolean dimension is 10
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
<ipython-input-319-ce96ba06eb23> in <module>()
65
66 #plt.plot()
---> 67 plt.savefig(file_path)
68 #with open(file_path, 'wb') as f:
69 #plt.savefig(file_path)
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\pyplot.py in savefig(*args, **kwargs)
708 def savefig(*args, **kwargs):
709 fig = gcf()
--> 710 res = fig.savefig(*args, **kwargs)
711 fig.canvas.draw_idle() # need this if 'transparent=True' to reset colors
712 return res
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\figure.py in savefig(self, fname, **kwargs)
2033 self.set_frameon(frameon)
2034
-> 2035 self.canvas.print_figure(fname, **kwargs)
2036
2037 if frameon:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2261 orientation=orientation,
2262 bbox_inches_restore=_bbox_inches_restore,
-> 2263 **kwargs)
2264 finally:
2265 if bbox_inches and restore_bbox:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\backends\backend_pdf.py in print_pdf(self, filename, **kwargs)
2584 RendererPdf(file, image_dpi, height, width),
2585 bbox_inches_restore=_bbox_inches_restore)
-> 2586 self.figure.draw(renderer)
2587 renderer.finalize()
2588 if not isinstance(filename, PdfPages):
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\figure.py in draw(self, renderer)
1473
1474 mimage._draw_list_compositing_images(
-> 1475 renderer, self, artists, self.suppressComposite)
1476
1477 renderer.close_group('figure')
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
139 if not_composite or not has_images:
140 for a in artists:
--> 141 a.draw(renderer)
142 else:
143 # Composite any adjacent images together
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2605 renderer.stop_rasterizing()
2606
-> 2607 mimage._draw_list_compositing_images(renderer, self, artists)
2608
2609 renderer.close_group('axes')
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
139 if not_composite or not has_images:
140 for a in artists:
--> 141 a.draw(renderer)
142 else:
143 # Composite any adjacent images together
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in draw(self, renderer)
809 if markevery is not None:
810 subsampled = _mark_every_path(markevery, tpath,
--> 811 affine, self.axes.transAxes)
812 else:
813 subsampled = tpath
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in _mark_every_path(markevery, tpath, affine, ax_transform)
220 raise ValueError('`markevery` is iterable but '
221 'not a valid form of numpy fancy indexing; '
--> 222 'markevery=%s' % (markevery,))
223 else:
224 raise ValueError('Value of `markevery` is not '
ValueError: `markevery` is iterable but not a valid form of numpy fancy indexing; markevery=[False, True, False, False, False, True, False, False, False, True]
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in _mark_every_path(markevery, tpath, affine, ax_transform)
215 try:
--> 216 return Path(verts[markevery],
217 _slice_or_none(codes, markevery))
IndexError: boolean index did not match indexed array along dimension 0; dimension is 2 but corresponding boolean dimension is 10
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
330 pass
331 else:
--> 332 return printer(obj)
333 # Finally look for special method names
334 method = get_real_method(obj, self.print_method)
~\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
235
236 if 'png' in formats:
--> 237 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
238 if 'retina' in formats or 'png2x' in formats:
239 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)
119
120 bytes_io = BytesIO()
--> 121 fig.canvas.print_figure(bytes_io, **kw)
122 data = bytes_io.getvalue()
123 if fmt == 'svg':
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2210 orientation=orientation,
2211 dryrun=True,
-> 2212 **kwargs)
2213 renderer = self.figure._cachedRenderer
2214 bbox_inches = self.figure.get_tightbbox(renderer)
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\backends\backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
511
512 def print_png(self, filename_or_obj, *args, **kwargs):
--> 513 FigureCanvasAgg.draw(self)
514 renderer = self.get_renderer()
515 original_dpi = renderer.dpi
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\backends\backend_agg.py in draw(self)
431 # if toolbar:
432 # toolbar.set_cursor(cursors.WAIT)
--> 433 self.figure.draw(self.renderer)
434 # A GUI class may be need to update a window using this draw, so
435 # don't forget to call the superclass.
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\figure.py in draw(self, renderer)
1473
1474 mimage._draw_list_compositing_images(
-> 1475 renderer, self, artists, self.suppressComposite)
1476
1477 renderer.close_group('figure')
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
139 if not_composite or not has_images:
140 for a in artists:
--> 141 a.draw(renderer)
142 else:
143 # Composite any adjacent images together
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2605 renderer.stop_rasterizing()
2606
-> 2607 mimage._draw_list_compositing_images(renderer, self, artists)
2608
2609 renderer.close_group('axes')
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
139 if not_composite or not has_images:
140 for a in artists:
--> 141 a.draw(renderer)
142 else:
143 # Composite any adjacent images together
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
53 renderer.start_filter()
54
---> 55 return draw(artist, renderer, *args, **kwargs)
56 finally:
57 if artist.get_agg_filter() is not None:
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in draw(self, renderer)
809 if markevery is not None:
810 subsampled = _mark_every_path(markevery, tpath,
--> 811 affine, self.axes.transAxes)
812 else:
813 subsampled = tpath
~\AppData\Roaming\Python\Python36\site-packages\matplotlib\lines.py in _mark_every_path(markevery, tpath, affine, ax_transform)
220 raise ValueError('`markevery` is iterable but '
221 'not a valid form of numpy fancy indexing; '
--> 222 'markevery=%s' % (markevery,))
223 else:
224 raise ValueError('Value of `markevery` is not '
ValueError: `markevery` is iterable but not a valid form of numpy fancy indexing; markevery=[False, True, False, False, False, True, False, False, False, True]