只是想看看其他人是否认为 matplotlib 中的以下行为plot_date是错误的，或者这只是我应该忍受的。
我设置了一个多面板图，sharex以便在所有轴上进行缩放/平移，并在两个面板中绘制时间序列数据。但是，在第二个面板中，所有数据恰好都是无效的（在这个例子中我屏蔽了它）。
from matplotlib.pyplot import figure,show
from datetime import datetime,timedelta
from numpy import sin,cos,linspace,pi,ma,array
fig=figure(figsize=(16,9))
ax1=fig.add_subplot(211)
ax2=fig.add_subplot(212,sharex=ax1)
# xdata is seconds
xdata=linspace(0,9999,10000)
tdata=array([datetime(2000,1,1)+timedelta(seconds=ss) for ss in xdata])
data1=ma.masked_array(sin(pi*xdata/300),mask=False)
data2=ma.masked_array(cos(pi*xdata/300),mask=True)
ax1.plot_date(tdata,data1,marker='',color='r')
ax2.plot_date(tdata,data2,marker='',color='b')
show()
我希望（更喜欢）它只是显示一个空白面板，而不是失败并给我一个长期无用的回溯。这是预期的行为吗？
笔记：
- 如果我使用
ax.plot(...)而不是，此脚本也会失败ax.plot_date(...) - 如果我只是针对
xdata而不是 datetime 数组tsdata（但我必须使用它ax1.set_xlim(xdata[0],xdata[-1])来显示一个合理的域），它可以正常工作（即给我一个空面板）：
ax1.plot(xdata,data1,marker='',color='r') ax2.plot(xdata,data2,marker='',color='b') ax1.set_xlim(xdata[0],xdata[-1]) show()
- 我刚刚意识到我可以通过在命令
ax2之前强制限制来挽救上述情节。show()我仍然认为主要示例中的失败是不优雅的：
ax2.set_xlim(tdata[0],tdata[-1]) show()
专家们怎么看？
谢谢！
仅供参考，这是在 matplotlib 1.1.0 上，从我的 PC 上的源代码编译而来。
这是我得到的回溯：
Traceback (most recent call last):
File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/backendsbackend_gtk.py", line 395, in expose_even self._render_figure(self._pixmap, w, h) File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/backends/backend_gtkagg.py", line 75, in _render_f FigureCanvasAgg.draw(self) File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py", line 401, in draw self.figure.draw(self.renderer) File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper draw(artist, renderer, *args, **kwargs) File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/figure.py", line 884, in draw func(*args) File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper draw(artist, renderer, *args, **kwargs) File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/axes.py", line 1983, in draw a.draw(renderer) File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper draw(artist, renderer, *args, **kwargs) File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/axis.py", line 1036, in draw ticks_to_draw = self._update_ticks(renderer) File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/axis.py", line 926, in _update_ticks tick_tups = [ t for t in self.iter_ticks()] File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/axis.py", line 873, in iter_ticks majorLocs = self.major.locator() File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/dates.py", line 749, in __call__ self.refresh() File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/dates.py", line 758, in refresh dmin, dmax = self.viewlim_to_dt() File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/dates.py", line 530, in viewlim_to_dt return num2date(vmin, self.tz), num2date(vmax, self.tz) File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/dates.py", line 289, in num2date if not cbook.iterable(x): return _from_ordinalf(x, tz) File "/home/tchubb/local/lib/python2.7/site-packages/matplotlib/dates.py", line 203, in _from_ordinalf dt = datetime.datetime.fromordinal(ix) ValueError: ordinal must be >= 1
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