Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
> 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
> > | xx
> > | x x
> > -1|_x__x_
> >12 3 4 56 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()
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Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
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
> | xx
> | x x
> -1|_x__x_
>12 3 4 56 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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Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
On Tue, Oct 1, 2013 at 1:55 PM, KURT PETERS wrote:
>
>
> > Date: Tue, 1 Oct 2013 19:35:39 +0200
>
> > Subject: Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
> > From: goyod...@gmail.com
> > To: petersk...@msn.com
> > CC: pmhob...@gmail.com; matplotlib-users@lists.sourceforge.net
>
> >
> > 2013/10/1 KURT PETERS :
> > > 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.
> >
> > Then just set the ticks and the tick labels of the axis:
> >
> > import numpy as np
> > import matplotlib.pyplot as plt
> > 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])
> > ax1 = plt.subplot(111)
> > ax1.plot(xdat,idatanp)
> > ax2 = ax1.twiny()
> > ax2.set_xticks(range(len(xdat)))
> > ax2.set_xticklabels(simtimedata)
> > plt.show()
> >
> > Goyo
>
> Goyo,
> Thanks, the code below seems to work. The problem is that with
> "REAL/actual" data, I have SO many data points that each point is now
> labeled and it takes forever to render. And when it does render, I cannot
> read the axis because there are too many there. Is there a way to
> judiciously have it only display a certain number of values? Such as every
> 100th value?
> Kurt
> 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)
> ax1.grid(True)
> ax2 = fig.add_subplot(212)
> ax2.plot(xdat, idatanp.real,'k-o')
> ax2.set_xticks(xdat)
> ax2.set_xticklabels(simtimedata)
> #ax2.set_title("time domain")
> ax2.grid(True)
> plt.show()
>
The philosophy of matplotlib is to have smart defaults, but always allow
the user to override. Perhaps you are looking for a particular "ticker"?
http://matplotlib.org/api/ticker_api.html
I hope this helps!
Ben Root
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Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
On Oct 1, 2013, at 11:01AM, Jody Klymak wrote: > > On Oct 1, 2013, at 10:55 AM, KURT PETERS wrote: > >> Goyo, >> Thanks, the code below seems to work. The problem is that with >> "REAL/actual" data, I have SO many data points that each point is now >> labeled and it takes forever to render. And when it does render, I cannot >> read the axis because there are too many there. Is there a way to >> judiciously have it only display a certain number of values? Such as every >> 100th value? >> Kurt >> >> ax2.set_xticks(xdat) >> ax2.set_xticklabels(simtimedata) > > ax2.set_xticks(xdat[::100]) > ax2.set_xticklabels(simtimedata[::100]) > > Cheers, Jody > I thought that, too, but then he used the word 'judiciously'. I think that you want to change the xaxis major formatter so that it returns the indexed element of simtimedata as the label. Example to come in a moment. -Sterling -- 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
Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
On Oct 1, 2013, at 10:55 AM, KURT PETERS wrote: > Goyo, > Thanks, the code below seems to work. The problem is that with > "REAL/actual" data, I have SO many data points that each point is now labeled > and it takes forever to render. And when it does render, I cannot read the > axis because there are too many there. Is there a way to judiciously have it > only display a certain number of values? Such as every 100th value? > Kurt > > ax2.set_xticks(xdat) > ax2.set_xticklabels(simtimedata) ax2.set_xticks(xdat[::100]) ax2.set_xticklabels(simtimedata[::100]) Cheers, Jody -- Jody Klymak http://web.uvic.ca/~jklymak/ -- 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
Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
> Date: Tue, 1 Oct 2013 19:35:39 +0200
> Subject: Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
> From: goyod...@gmail.com
> To: petersk...@msn.com
> CC: pmhob...@gmail.com; matplotlib-users@lists.sourceforge.net
>
> 2013/10/1 KURT PETERS :
> > here's what SHOULD be happening
> >
> > | 0 1 5 9 13 18 21 24 25 28
> > 3 | x
> > |x x
> > | xx
> > | x x
> > -1|_x__x_
> >12 3 4 56 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.
>
> Then just set the ticks and the tick labels of the axis:
>
> import numpy as np
> import matplotlib.pyplot as plt
> 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])
> ax1 = plt.subplot(111)
> ax1.plot(xdat,idatanp)
> ax2 = ax1.twiny()
> ax2.set_xticks(range(len(xdat)))
> ax2.set_xticklabels(simtimedata)
> plt.show()
>
> Goyo
Goyo, Thanks, the code below seems to work. The problem is that with
"REAL/actual" data, I have SO many data points that each point is now labeled
and it takes forever to render. And when it does render, I cannot read the
axis because there are too many there. Is there a way to judiciously have it
only display a certain number of values? Such as every 100th
value?Kurtxdat=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)
ax1.grid(True)
ax2 = fig.add_subplot(212)
ax2.plot(xdat, idatanp.real,'k-o')
ax2.set_xticks(xdat)
ax2.set_xticklabels(simtimedata)
#ax2.set_title("time domain")
ax2.grid(True)
plt.show()--
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Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
2013/10/1 KURT PETERS : > here's what SHOULD be happening > > | 0 1 5 9 13 18 21 24 25 28 > 3 | x > |x x > | xx > | x x > -1|_x__x_ >12 3 4 56 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. Then just set the ticks and the tick labels of the axis: import numpy as np import matplotlib.pyplot as plt 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]) ax1 = plt.subplot(111) ax1.plot(xdat,idatanp) ax2 = ax1.twiny() ax2.set_xticks(range(len(xdat))) ax2.set_xticklabels(simtimedata) plt.show() Goyo -- 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
Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
It's not really clear to me what you're trying to do. But the rounding of the axes limits is an expected behavior of matplotlib. You can set them manually if you like. Also, I think this achieves what you want and is much simpler. import numpy as npimport matplotlib.pyplot as pltxdat=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]) fig, (ax1, ax2) = plt.subplots(nrows=2, sharey=True) ax1.plot(xdat,idatanp)ax2.plot(simtimedata, idatanp,'k--') ax2.set_xlim([simtimedata.min(), simtimedata.max()]) REPLY: here's what SHOULD be happening | 0 1 5 9 13 18 21 24 25 28 3 | x|x x| xx| x x-1|_x__x_ 12 3 4 56 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 -- 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
Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
On Mon, Sep 30, 2013 at 4:50 PM, KURT PETERS wrote: > That doesn't seem to fix it. What I'm expecting is at the top, 28 should > correspond to the value -2. Instead it puts a 30 there. > Kurt > > It's not really clear to me what you're trying to do. But the rounding of the axes limits is an expected behavior of matplotlib. You can set them manually if you like. Also, I think this achieves what you want and is much simpler. import numpy as np import matplotlib.pyplot as plt 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]) fig, (ax1, ax2) = plt.subplots(nrows=2, sharey=True) ax1.plot(xdat,idatanp) ax2.plot(simtimedata, idatanp,'k--') ax2.set_xlim([simtimedata.min(), simtimedata.max()]) fig.tight_layout() -- 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
Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
That doesn't seem to fix it. What I'm expecting is at the top, 28 should
correspond to the value -2. Instead it puts a 30 there.
Kurt
Date: Mon, 30 Sep 2013 16:20:50 -0700
Subject: Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
From: pmhob...@gmail.com
To: petersk...@msn.com
CC: matplotlib-users@lists.sourceforge.net
On Mon, Sep 30, 2013 at 1:43 PM, KURT PETERS wrote:
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
Kurt,
You need to show ax3's xticklabels somewhere. Like this:
import numpy as npfrom matplotlib import rcimport matplotlib.pyplot as
pltimport matplotlib.mlab as mlabimport refrom 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])
fig = plt.figure()
ax1 = fig.add_subplot(211)ax1.plot(xdat,idatanp)
ax2 = fig.add_subplot(212)ax3 = ax2.twiny()
ax2.plot(xdat, idatanp.real,'k-o')
ax3.plot(simtimedata, idatanp,'k--',alpha=0)
# show ax3's xticklabels
ax3.xaxis.tick_top() ax2.set_title("time domain")ax2.grid(True)
fig.tight_layout()
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Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
On Mon, Sep 30, 2013 at 1:43 PM, KURT PETERS wrote:
> 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
>
Kurt,
You need to show ax3's xticklabels somewhere. Like this:
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])
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax1.plot(xdat,idatanp)
ax2 = fig.add_subplot(212)
ax3 = ax2.twiny()
ax2.plot(xdat, idatanp.real,'k-o')
ax3.plot(simtimedata, idatanp,'k--',alpha=0)
# show ax3's xticklabels
ax3.xaxis.tick_top()
ax2.set_title("time domain")
ax2.grid(True)
fig.tight_layout()
--
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Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
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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Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from
the latest Intel processors and coprocessors. See abstracts and register >
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