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Yes , I am using the plot_wireframe.
Pedro

On Thursday, February 6, 2014, Benjamin Root <ben...@ou...> wrote:

> I am not sure, but it sounds like you are talking about plot_wireframe()?
>
> Ben Root
>

Hi all,

I'm trying to make a contourf plot out of 3 2d fields, where one is seconds since 1970. This works! But my problem is the formatting of the xaxes. 
These I like to have in hh:mm. Since the time is a 2d field, a conversion to datetime didn't work.

The other way I tried was  plotting a second axis with x as 1d datetime, y (1d) and z as before, removing the collections, plotting the original data 
and deleting the xticks and labels. But i didn't succeed with that. i get a year out of range error. Any help would be appreciated.

here is a small code peace that could help to understand what i like to do.

from matplotlib import pyplot, dates
import numpy as np

x = np.array([[1387029209.,1387029310.,1387029411.,1387029512.],
	      [1387029209.,1387029310.,1387029411.,1387029512.],
	      [1387029209.,1387029310.,1387029411.,1387029512.]])
y = np.array([[143., 143., 133., 143.],
	      [172., 162., 122., 172.],
	      [201., 241., 201., 201.]])

z = np.random.rand(3,4)
fig = pyplot.figure()


dnt = dates.num2date(dates.epoch2num(x[0]))

ax2 = fig.add_axes([0.1,0.1,0.8,0.8])

c = ax2.contour(dnt,y[:,0],z)
for coll in c.collections:
     ax2.collections.remove(coll)
ax2.patch.set_alpha(0.0)
time_format = dates.DateFormatter('%H:%M')
ax2.xaxis.set_major_formatter(time_format)

ax1 = fig.add_axes([0.1,0.1,0.8,0.8])
ax1.contourf(x,y,z)
#ax1.tick_params(axis='x',which='both',bottom='off',top='off',labelbottom='off')

pyplot.show()


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Dr. Mario Mech

Institute for Geophysics and Meteorology
University of Cologne
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I am not sure, but it sounds like you are talking about plot_wireframe()?

Ben Root

I'm new to Matplotlib and not sure if it's right for my application.

I would like to build a simple audio (sound file) editor with the use of 
Matplotlib. It will plot a waveform, hence the usefulness of matplotlib. 
I will also need the user to be able to select regions of the waveform 
by dragging the mouse or perhaps by clicking at the start and end. I 
want the regions to be highlighted.

I also need a playback cursor.. a line that travels along the waveform 
as it gets played back.

So is there a way to add to Matplotlib custom responses to drags and 
clicks? Something like an animated playback cursor (moving line)? Can 
these be based on natural features of Matplotlib or would I have to hack it?

Thanks,
Mike

Not quite sure exactly what you need to do, but it sounds like separate
calls to `plot` for each quadrilateral will do the trick.
-paul


On Wed, Feb 5, 2014 at 4:57 PM, Pedro Marcal <ped...@gm...> wrote:

> I don't know how to separately plot the quadrilaterals after plotting each
> of them in a closed loop eg nodes 1,2,3,4,1 the next quad is 3,2,5,6,3 say.
> I use a return to 1,0.0,3 and continue the curve numpy curve X,Y,Z as per
> the example tutorials. I tried inserting a None in between the quads, but
> this raises a python error. Please advise me on how to plot my quads
> without having to trace a sequence of previously plotted sides, eg 1,2,3
> then the second quad.
> Thanks,
> Pedro
>
>
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I don't know how to separately plot the quadrilaterals after plotting each
of them in a closed loop eg nodes 1,2,3,4,1 the next quad is 3,2,5,6,3 say.
I use a return to 1,0.0,3 and continue the curve numpy curve X,Y,Z as per
the example tutorials. I tried inserting a None in between the quads, but
this raises a python error. Please advise me on how to plot my quads
without having to trace a sequence of previously plotted sides, eg 1,2,3
then the second quad.
Thanks,
Pedro