pandas无法绘制从Excel导入的时间序列
这是我的DataFrame获取从Excel .xls导入
0 1 664 2017-12-07 19:08:54 1.1377 665 2017-12-07 19:10:31 1.1374 666 2017-12-07 19:12:17 1.1377 667 2017-12-07 19:13:28 1.1377 668 2017-12-07 19:15:25 1.1379 我认为是正确的types
0 datetime64[ns] 1 float64 dtype: object
但是，由于出现了一些错误，它不会与ax = _df.plot()一起绘制。 任何想法为什么？ 这是我在pandas的第一个小时，对不起，如果这是经典的问题，但我只看到这个ValueError: ordinal must be >= 1没有相关的答案ValueError: ordinal must be >= 1
感谢您的投入
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-24-ca306a836171> in <module>() ----> 1 ax = _df.plot() /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in __call__(self, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds) 2671 fontsize=fontsize, colormap=colormap, table=table, 2672 yerr=yerr, xerr=xerr, secondary_y=secondary_y, -> 2673 sort_columns=sort_columns, **kwds) 2674 __call__.__doc__ = plot_frame.__doc__ 2675 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in plot_frame(data, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds) 1898 yerr=yerr, xerr=xerr, 1899 secondary_y=secondary_y, sort_columns=sort_columns, -> 1900 **kwds) 1901 1902 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in _plot(data, x, y, subplots, ax, kind, **kwds) 1725 plot_obj = klass(data, subplots=subplots, ax=ax, kind=kind, **kwds) 1726 -> 1727 plot_obj.generate() 1728 plot_obj.draw() 1729 return plot_obj.result /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in generate(self) 258 259 for ax in self.axes: --> 260 self._post_plot_logic_common(ax, self.data) 261 self._post_plot_logic(ax, self.data) 262 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in _post_plot_logic_common(self, ax, data) 393 self._apply_axis_properties(ax.xaxis, rot=self.rot, 394 fontsize=self.fontsize) --> 395 self._apply_axis_properties(ax.yaxis, fontsize=self.fontsize) 396 397 if hasattr(ax, 'right_ax'): /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in _apply_axis_properties(self, axis, rot, fontsize) 466 467 def _apply_axis_properties(self, axis, rot=None, fontsize=None): --> 468 labels = axis.get_majorticklabels() + axis.get_minorticklabels() 469 for label in labels: 470 if rot is not None: /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axis.py in get_majorticklabels(self) 1189 def get_majorticklabels(self): 1190 'Return a list of Text instances for the major ticklabels' -> 1191 ticks = self.get_major_ticks() 1192 labels1 = [tick.label1 for tick in ticks if tick.label1On] 1193 labels2 = [tick.label2 for tick in ticks if tick.label2On] /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axis.py in get_major_ticks(self, numticks) 1318 'get the tick instances; grow as necessary' 1319 if numticks is None: -> 1320 numticks = len(self.get_major_locator()()) 1321 if len(self.majorTicks) < numticks: 1322 # update the new tick label properties from the old /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in __call__(self) 984 def __call__(self): 985 'Return the locations of the ticks' --> 986 self.refresh() 987 return self._locator() 988 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in refresh(self) 1004 def refresh(self): 1005 'Refresh internal information based on current limits.' -> 1006 dmin, dmax = self.viewlim_to_dt() 1007 self._locator = self.get_locator(dmin, dmax) 1008 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in viewlim_to_dt(self) 761 vmin, vmax = vmax, vmin 762 --> 763 return num2date(vmin, self.tz), num2date(vmax, self.tz) 764 765 def _get_unit(self): /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in num2date(x, tz) 399 tz = _get_rc_timezone() 400 if not cbook.iterable(x): --> 401 return _from_ordinalf(x, tz) 402 else: 403 x = np.asarray(x) /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in _from_ordinalf(x, tz) 252 253 ix = int(x) --> 254 dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC) 255 256 remainder = float(x) - ix ValueError: ordinal must be >= 1 --------------------------------------------------------------------------- ValueError Traceback (most recent call last) /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/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) /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/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)) /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/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': /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs) 2198 orientation=orientation, 2199 dryrun=True, -> 2200 **kwargs) 2201 renderer = self.figure._cachedRenderer 2202 bbox_inches = self.figure.get_tightbbox(renderer) /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs) 543 544 def print_png(self, filename_or_obj, *args, **kwargs): --> 545 FigureCanvasAgg.draw(self) 546 renderer = self.get_renderer() 547 original_dpi = renderer.dpi /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py in draw(self) 462 463 try: --> 464 self.figure.draw(self.renderer) 465 finally: 466 RendererAgg.lock.release() /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs) 61 def draw_wrapper(artist, renderer, *args, **kwargs): 62 before(artist, renderer) ---> 63 draw(artist, renderer, *args, **kwargs) 64 after(artist, renderer) 65 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/figure.py in draw(self, renderer) 1142 1143 mimage._draw_list_compositing_images( -> 1144 renderer, self, dsu, self.suppressComposite) 1145 1146 renderer.close_group('figure') /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/image.py in _draw_list_compositing_images(renderer, parent, dsu, suppress_composite) 137 if not_composite or not has_images: 138 for zorder, a in dsu: --> 139 a.draw(renderer) 140 else: 141 # Composite any adjacent images together /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs) 61 def draw_wrapper(artist, renderer, *args, **kwargs): 62 before(artist, renderer) ---> 63 draw(artist, renderer, *args, **kwargs) 64 after(artist, renderer) 65 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axes/_base.py in draw(self, renderer, inframe) 2424 renderer.stop_rasterizing() 2425 -> 2426 mimage._draw_list_compositing_images(renderer, self, dsu) 2427 2428 renderer.close_group('axes') /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/image.py in _draw_list_compositing_images(renderer, parent, dsu, suppress_composite) 137 if not_composite or not has_images: 138 for zorder, a in dsu: --> 139 a.draw(renderer) 140 else: 141 # Composite any adjacent images together /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs) 61 def draw_wrapper(artist, renderer, *args, **kwargs): 62 before(artist, renderer) ---> 63 draw(artist, renderer, *args, **kwargs) 64 after(artist, renderer) 65 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axis.py in draw(self, renderer, *args, **kwargs) 1134 renderer.open_group(__name__) 1135 -> 1136 ticks_to_draw = self._update_ticks(renderer) 1137 ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw, 1138 renderer) /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axis.py in _update_ticks(self, renderer) 967 968 interval = self.get_view_interval() --> 969 tick_tups = [t for t in self.iter_ticks()] 970 if self._smart_bounds: 971 # handle inverted limits /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axis.py in <listcomp>(.0) 967 968 interval = self.get_view_interval() --> 969 tick_tups = [t for t in self.iter_ticks()] 970 if self._smart_bounds: 971 # handle inverted limits /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axis.py in iter_ticks(self) 910 Iterate through all of the major and minor ticks. 911 """ --> 912 majorLocs = self.major.locator() 913 majorTicks = self.get_major_ticks(len(majorLocs)) 914 self.major.formatter.set_locs(majorLocs) /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in __call__(self) 984 def __call__(self): 985 'Return the locations of the ticks' --> 986 self.refresh() 987 return self._locator() 988 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in refresh(self) 1004 def refresh(self): 1005 'Refresh internal information based on current limits.' -> 1006 dmin, dmax = self.viewlim_to_dt() 1007 self._locator = self.get_locator(dmin, dmax) 1008 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in viewlim_to_dt(self) 761 vmin, vmax = vmax, vmin 762 --> 763 return num2date(vmin, self.tz), num2date(vmax, self.tz) 764 765 def _get_unit(self): /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in num2date(x, tz) 399 tz = _get_rc_timezone() 400 if not cbook.iterable(x): --> 401 return _from_ordinalf(x, tz) 402 else: 403 x = np.asarray(x) /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in _from_ordinalf(x, tz) 252 253 ix = int(x) --> 254 dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC) 255 256 remainder = float(x) - ix ValueError: ordinal must be >= 1 <matplotlib.figure.Figure at 0x118f1e978>
你可能想要列第1列再次列0，即数字对date？ 这将通过
df.plot(x=0,y=1)
您的列是未命名的。 所以你也可以命名它们，并重新设置一些有用的索引（或者如下，不太有用;-)）
df.columns = ["0", "1"] df = df.set_index("0") df.plot()
两者都应该给你一个如下的情节：
