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我在節省一系列兩個Seaborn小提琴繪圖和每次我的代碼迭代循環時運行的正常matplotlib圖時遇到了一些麻煩。使用循環繪製Seaborn和Matplotlib數字的問題
我的代碼是：
for symbol in symbol_list:
<DO SOMETHING - CREATE PANDAS DATAFRAME NAMED "df">
img = sns.violinplot(x=df['Onside'].dropna().astype(float))
fig = img.get_figure()
fig.savefig(symbol+" Onside Violin Plot.png")
fig.clf()
sns.violinplot(x=df['Offside'].dropna().astype(float))
fig = img.get_figure()
fig.savefig(symbol+" Offside Violin Plot.png")
fig.clf()
plt.figure(1)
plt.subplot(211)
plt.hist(df['Onside'],bins=50,alpha=0.5,label="Onside")
plt.hist(df['Offside'],bins=50,alpha=0.5,label="Offside")
plt.legend(loc='best')
plt.xlabel("Pips")
plt.ylabel("Number of Trades")
plt.subplot(212)
plt.bar(df.index,df['Offside'],color='r',width=0.5)
plt.bar(df.index,df['Onside'],color='blue',width=0.5)
plt.savefig(symbol+'_Onside_Offside')
plt.plot()
它通過循環，但在第二四處正確運行在第一次迭代我收到以下錯誤信息：
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-51-269b21e53a2f> in <module>()
112 img = sns.violinplot(x=df['Onside'].dropna().astype(float))#.figure.savefig(symbol+" Onside Violin Plot.png")
113 fig = img.get_figure()
--> 114 fig.savefig(symbol+" Onside Violin Plot.png")
115 fig.clf()
116
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\figure.py in savefig(self, *args, **kwargs)
1561 self.set_frameon(frameon)
1562
-> 1563 self.canvas.print_figure(*args, **kwargs)
1564
1565 if frameon:
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2230 orientation=orientation,
2231 bbox_inches_restore=_bbox_inches_restore,
-> 2232 **kwargs)
2233 finally:
2234 if bbox_inches and restore_bbox:
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
525
526 def print_png(self, filename_or_obj, *args, **kwargs):
--> 527 FigureCanvasAgg.draw(self)
528 renderer = self.get_renderer()
529 original_dpi = renderer.dpi
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in draw(self)
472
473 try:
--> 474 self.figure.draw(self.renderer)
475 finally:
476 RendererAgg.lock.release()
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
1157 dsu.sort(key=itemgetter(0))
1158 for zorder, a, func, args in dsu:
-> 1159 func(*args)
1160
1161 renderer.close_group('figure')
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2317
2318 for zorder, a in dsu:
-> 2319 a.draw(renderer)
2320
2321 renderer.close_group('axes')
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in draw(self, renderer, *args, **kwargs)
1106 renderer.open_group(__name__)
1107
-> 1108 ticks_to_draw = self._update_ticks(renderer)
1109 ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
1110 renderer)
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in _update_ticks(self, renderer)
949
950 interval = self.get_view_interval()
--> 951 tick_tups = [t for t in self.iter_ticks()]
952 if self._smart_bounds:
953 # handle inverted limits
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in <listcomp>(.0)
949
950 interval = self.get_view_interval()
--> 951 tick_tups = [t for t in self.iter_ticks()]
952 if self._smart_bounds:
953 # handle inverted limits
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in iter_ticks(self)
892 Iterate through all of the major and minor ticks.
893 """
--> 894 majorLocs = self.major.locator()
895 majorTicks = self.get_major_ticks(len(majorLocs))
896 self.major.formatter.set_locs(majorLocs)
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in __call__(self)
1005 def __call__(self):
1006 'Return the locations of the ticks'
-> 1007 self.refresh()
1008 return self._locator()
1009
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in refresh(self)
1025 def refresh(self):
1026 'Refresh internal information based on current limits.'
-> 1027 dmin, dmax = self.viewlim_to_dt()
1028 self._locator = self.get_locator(dmin, dmax)
1029
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in viewlim_to_dt(self)
769 vmin, vmax = vmax, vmin
770
--> 771 return num2date(vmin, self.tz), num2date(vmax, self.tz)
772
773 def _get_unit(self):
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in num2date(x, tz)
417 tz = _get_rc_timezone()
418 if not cbook.iterable(x):
--> 419 return _from_ordinalf(x, tz)
420 else:
421 x = np.asarray(x)
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in _from_ordinalf(x, tz)
269
270 ix = int(x)
--> 271 dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC)
272
273 remainder = float(x) - ix
ValueError: ordinal must be >= 1
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
305 pass
306 else:
--> 307 return printer(obj)
308 # Finally look for special method names
309 method = get_real_method(obj, self.print_method)
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
225
226 if 'png' in formats:
--> 227 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
228 if 'retina' in formats or 'png2x' in formats:
229 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
117
118 bytes_io = BytesIO()
--> 119 fig.canvas.print_figure(bytes_io, **kw)
120 data = bytes_io.getvalue()
121 if fmt == 'svg':
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2178 orientation=orientation,
2179 dryrun=True,
-> 2180 **kwargs)
2181 renderer = self.figure._cachedRenderer
2182 bbox_inches = self.figure.get_tightbbox(renderer)
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
525
526 def print_png(self, filename_or_obj, *args, **kwargs):
--> 527 FigureCanvasAgg.draw(self)
528 renderer = self.get_renderer()
529 original_dpi = renderer.dpi
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in draw(self)
472
473 try:
--> 474 self.figure.draw(self.renderer)
475 finally:
476 RendererAgg.lock.release()
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
1157 dsu.sort(key=itemgetter(0))
1158 for zorder, a, func, args in dsu:
-> 1159 func(*args)
1160
1161 renderer.close_group('figure')
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2317
2318 for zorder, a in dsu:
-> 2319 a.draw(renderer)
2320
2321 renderer.close_group('axes')
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in draw(self, renderer, *args, **kwargs)
1106 renderer.open_group(__name__)
1107
-> 1108 ticks_to_draw = self._update_ticks(renderer)
1109 ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
1110 renderer)
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in _update_ticks(self, renderer)
949
950 interval = self.get_view_interval()
--> 951 tick_tups = [t for t in self.iter_ticks()]
952 if self._smart_bounds:
953 # handle inverted limits
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in <listcomp>(.0)
949
950 interval = self.get_view_interval()
--> 951 tick_tups = [t for t in self.iter_ticks()]
952 if self._smart_bounds:
953 # handle inverted limits
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in iter_ticks(self)
892 Iterate through all of the major and minor ticks.
893 """
--> 894 majorLocs = self.major.locator()
895 majorTicks = self.get_major_ticks(len(majorLocs))
896 self.major.formatter.set_locs(majorLocs)
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in __call__(self)
1005 def __call__(self):
1006 'Return the locations of the ticks'
-> 1007 self.refresh()
1008 return self._locator()
1009
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in refresh(self)
1025 def refresh(self):
1026 'Refresh internal information based on current limits.'
-> 1027 dmin, dmax = self.viewlim_to_dt()
1028 self._locator = self.get_locator(dmin, dmax)
1029
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in viewlim_to_dt(self)
769 vmin, vmax = vmax, vmin
770
--> 771 return num2date(vmin, self.tz), num2date(vmax, self.tz)
772
773 def _get_unit(self):
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in num2date(x, tz)
417 tz = _get_rc_timezone()
418 if not cbook.iterable(x):
--> 419 return _from_ordinalf(x, tz)
420 else:
421 x = np.asarray(x)
C:\Users\stuart.jamieson\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in _from_ordinalf(x, tz)
269
270 ix = int(x)
--> 271 dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC)
272
273 remainder = float(x) - ix
ValueError: ordinal must be >= 1
任何人都可以請指出我哪裏錯了？
我認爲這與「plt」圖形沒有被正確清理有關，因此代碼試圖在同一個圖的x軸上繪製兩個不同的索引，因此「序數必須>> 1」錯誤。
我在正確的球場嗎？
偉大的東西，工作..謝謝！ – s666