On Oct 1, 2013, at 8:59AM, KURT PETERS wrote:
>
> REPLY:
> ============================================================
>
> here's what SHOULD be happening
>
> | 0 1 5 9 13 18 21 24 25 28
> 3 | x
> | x x
> | x x
> | x x
> -1|_x__________________x_____
> 1 2 3 4 5 6 7 8 9 10
>
> How can I make that happen? Instead, MPL is autoranging the top axis. I
> don't want that I just want the actual labels to occur up there.
>
> Kurt
Kurt,
Here is a self-contained example of what I think you are asking for:
{{{
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import FuncFormatter, MaxNLocator
simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28, 31, 32, 41, 55, 56,
57])
idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2, -3, -2, -1, 0, -1, -2])
xdat = range(len(simtimedata))
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax1.plot(xdat,idatanp)
ax1.grid(True)
ax2 = fig.add_subplot(212)
ax2.plot(xdat, idatanp.real,'k-o')
def index_to_label(i,dummy):
if i >= 0 and i < len(simtimedata):
return str(simtimedata[i])
else:
return ''
form = FuncFormatter(index_to_label)
ax2.xaxis.set_major_formatter(form)
#ax2.set_title("time domain")
ax2.grid(True)
plt.show()
}}}
You may also be interested in this question and answer on stackoverflow:
http://stackoverflow.com/questions/3918028/how-do-i-plot-multiple-x-or-y-axes-in-matplotlib
-Sterling
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