I'm including the code below to demonstrate the problem. The top should have
simtimedata (0 through 28) labeling the points. As you can see, MATPLOTLIB
just distributes those values evenly instead of assigning them properly.
Any ideas?
#!/usr/bin/env python
import numpy as np
from matplotlib import rc
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import re
from matplotlib.ticker import EngFormatter
xdat=np.arange(1,11)
simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])
print idatanp.shape
print simtimedata.shape
print xdat.shape
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax1.plot(xdat,idatanp)
ax2 = fig.add_subplot(212)
#ax1.plot(x1, x1,'b--')
ax3 = ax2.twiny()
ax2.plot(xdat, idatanp.real,'k-o')
ax3.plot(simtimedata, idatanp,'k--',alpha=0)
ax2.set_title("time domain")
ax2.grid(True)
plt.show()
>
> I'm trying to find a glitch in an FPGA simulation. The data stored in a file
> is:
> (simulation time, y)
>
> In reality, if I plot that I get large gaps because the simulation time
> continues and data is only output periodically. In other words simulation
> time is not continuous. I'd like to view the data without the gaps, but with
> simulation time annotating the x-axis so I can determine where the glitch
> occurs.
> I've tried a variety of things:
> #ax1.plot(x1, x1,'b--')
> #ax3 = ax2.twiny()
> ax2.set_xticklabels(simtimedata, fontdict=None, minor=False, rotation = 45)
> ax2.plot( idatanp.real,'k--',idatanp.imag,'g.-')
> #ax2.plot(xdat, idatanp.real,'k--',xdat,idatanp.imag,'g.-')
> #ax3.plot(simtimedata, idatanp.real,'k--',alpha=0)
>
> but cannot get the axis to both show the data all together AND show where the
> glitch occurs. I thought the twiny might help to put another x axis up so I
> could plot the data first with the x axis incrementing based on when the data
> is read in, and then trying to place labels showing simulation time.
>
> Does anyone have any ideas how I could do this?
> Kurt
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