> Subject: Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
> From: smit...@fusion.gat.com
> Date: Tue, 1 Oct 2013 11:34:39 -0700
> CC: pmhob...@gmail.com; matplotlib-users@lists.sourceforge.net
> To: petersk...@msn.com
>
>
> 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
>
Thanks Sterling,
That's exactly what I was looking for. I ended up creating a class because I
wasn't comfortable using either a lambda function or simtimedata as a global
variable (just a style issue). In case someone's been following along and
wants the final code:
...
from matplotlib.ticker import Formatter
class MyFormatter(Formatter):
def __init__(self, simtime):
self.simtime = simtime
def __call__(self,val,pos=0):
if val >= 0 and val < len(self.simtime):
return str(self.simtime[val])
else:
return ''
xdat=np.arange(0,10)
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()
intformatter = MyFormatter(simtimedata)
ax1 = fig.add_subplot(211)
ax1.plot(xdat,idatanp)
ax1.grid(True)
ax2 = fig.add_subplot(212)
ax2.plot(xdat, idatanp.real,'k-o')
ax2.xaxis.set_major_formatter(intformatter)
ax2.set_title("time domain")
ax2.grid(True)
plt.show()
------------------------------------------------------------------------------
October Webinars: Code for Performance
Free Intel webinars can help you accelerate application performance.
Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from
the latest Intel processors and coprocessors. See abstracts and register >
http://pubads.g.doubleclick.net/gampad/clk?id=60134791&iu=/4140/ostg.clktrk
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
