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I want to plot data where x axis is long. If I plot the whole x axis then the plot shrinks and it is almost unreadable. I've found this answer on SO which points to following scipy/matplotlib code. But When I try to run the mentioned code I get following error:

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: Other solutions are also welcomed (preferably python, R, or something simple and multi platform)

PPS: I've opened the issue for mentioned error

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2 Answers 2

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18

Have you considered using matplotlib slider widgets?

Here is a little code just to show as example

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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In R this answer could help you. It will save the plot as a separate png, but you can change the format type with a different command. The relevant code from that answer is reproduced:

 png("wide.png", width = 1e5, height = 500) plot((sin(1:10000/100)+rnorm(10000)/5),type='l') dev.off() #bmp("wide.bmp", width = 1e5, height = 500) #plot((sin(1:10000/100)+rnorm(10000)/5),type='l') #dev.off() #note that the png has a size of 396 KB, while the bmp has 48,830 KB.
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1 Comment

Thank you, this is interesting idea. It might come handy if matplotlib is not available otherwise the @Noel Segura solution seems fine.

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