我想绘制 x 轴较长的数据。如果我绘制整个 x 轴，那么绘图就会缩小并且几乎无法读取。我发现了this回答 SO 指向下列的scipy/matplotlib 代码。但是当我尝试运行上述代码时，出现以下错误：
Traceback (most recent call last):
File "scrollingPlot.py", line 88, in <module>
app = MyApp()
File "/usr/lib/python2.7/dist-packages/wx-3.0-gtk2/wx/_core.py", line 8628, in __init__
self._BootstrapApp()
File "/usr/lib/python2.7/dist-packages/wx-3.0-gtk2/wx/_core.py", line 8196, in _BootstrapApp
return _core_.PyApp__BootstrapApp(*args, **kwargs)
File "scrollingPlot.py", line 82, in OnInit
self.frame = MyFrame(parent=None,id=-1)
File "scrollingPlot.py", line 21, in __init__
self.scroll_range)
File "/usr/lib/python2.7/dist-packages/wx-3.0-gtk2/wx/_core.py", line 11226, in SetScrollbar
return _core_.Window_SetScrollbar(*args, **kwargs)
wx._core.PyAssertionError: C++ assertion "sb" failed at ../src/gtk/window.cpp(4754) in SetScrollbar(): this window is not scrollable
PS：也欢迎其他解决方案（最好是Python、R或简单且多平台的解决方案）
PPS：我已经打开了issue对于提到的错误
您是否考虑过使用 matplotlib滑块小部件?
这是一些代码只是为了作为示例显示
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
fig, ax = plt.subplots()
plt.subplots_adjust(bottom=0.25)
t = np.arange(0.0, 100.0, 0.1)
s = np.sin(2*np.pi*t)
l, = plt.plot(t,s)
plt.axis([0, 10, -1, 1])
axcolor = 'lightgoldenrodyellow'
axpos = plt.axes([0.2, 0.1, 0.65, 0.03], facecolor=axcolor)
spos = Slider(axpos, 'Pos', 0.1, 90.0)
def update(val):
pos = spos.val
ax.axis([pos,pos+10,-1,1])
fig.canvas.draw_idle()
spos.on_changed(update)
plt.show()
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