matplotlib-users Mailing List for matplotlib

What backend are you using?

There was a similar report that the "draw" method of the qt4agg
backend does not update the screen immediately but wait until it gets
idle.
See if using other backends makes any change.

-JJ




On Sat, Nov 14, 2009 at 3:21 PM, Brian Blais <bb...@br...> wrote:
> Hello,
> I was wondering why the following animation doesn't work.  I thought it did
> work before, but perhaps I am misremembering.  I am on OS X 10.4, matplotlib
> version 0.99.0 from the enthought distribution.   I must be thinking about
> this wrong someone, but I thought that if you did a plot, then updated the
> data on the plot object, and called draw that it would actually draw it
> (like it does in matlab).  right now it just gives me a blank figure, with a
> busy mouse icon, and then shows the last plot done.
> thanks,
> Brian Blais
>
>
> import numpy
> import matplotlib.pyplot as plt
> h,=plt.plot([1,2,3])
> plt.ylabel('some numbers')
> plt.show()
> for i in range(100):
>     h.set_ydata(numpy.random.rand(3)*2+1)
>     plt.draw()
>
>
>
>
> --
> Brian Blais
> bb...@br...
> http://web.bryant.edu/~bblais
>
>
>
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>

What version of matplotlib are you using?
With the current svn, your code works okay.

-JJ


On Fri, Nov 13, 2009 at 10:37 AM, per freem <per...@gm...> wrote:
> hi all,
>
> i am trying to adjust the space (padding) between the tickmarks on an
> axes and the labels. usually, i can do this by setting
> 'xtick.major.pad' and 'xtick.minor.pad' (and same for y-axis) in
> rcParams. however, when i try to do this with a figure made using the
> "SubplotZero" function, it seems to only work for the y-axis and not
> the x-axis for some reason -- here is an example:
>
> import matplotlib
> matplotlib.use('PDF')
> import matplotlib.pyplot as plt
> from matplotlib import rc
> rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
> plt.rcParams['ps.useafm'] = True
> rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
> plt.rcParams['pdf.fonttype'] = 42
> plt.rcParams['font.size'] = 10
> from mpl_toolkits.axes_grid.axislines import SubplotZero
>
> def setup_axes(fig, labelpad=1, invisible=["bottom", "top", "right"]):
>    plt.rcParams['ytick.major.pad'] = 2
>    plt.rcParams['ytick.minor.pad'] = 2
>    # Y ticks work, but X tick do not...
>    plt.rcParams['xtick.major.pad'] = 0.01
>    plt.rcParams['xtick.minor.pad'] = 0.01
>    ax = SubplotZero(fig, 1, 1, 1)
>    fig.add_subplot(ax)
>    # make xzero axis (horizontal axis line through y=0) visible.
>    ax.axis["xzero"].set_visible(True)
>    # make other axis (bottom, top, right) invisible.
>    for n in invisible:
>        ax.axis[n].set_visible(False)
>    return ax
>
> fig = plt.figure(figsize=(5, 5), dpi=300)
> setup_axes(fig, labelpad=2)
> x = range(1, 11)
> y = [5000, 900, 600, 500, 200, 110, 50, 20, 10, 5]
> plt.plot(x, y)
> ax = plt.gca()
> plt.savefig('test.pdf')
>
> i am seeing the ylabels get closer to the y-axis, but the x-axis seems
> to have no effect. it seems to be related to SubplotZero since
> otherwise in ordinary plots this works fine. any idea how this could
> be fixed?
>
> thanks very much for your help.
>
> ------------------------------------------------------------------------------
> Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day
> trial. Simplify your report design, integration and deployment - and focus on
> what you do best, core application coding. Discover what's new with
> Crystal Reports now.  http://p.sf.net/sfu/bobj-july
> _______________________________________________
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>

Hello,

I was wondering why the following animation doesn't work.  I thought  
it did work before, but perhaps I am misremembering.  I am on OS X  
10.4, matplotlib version 0.99.0 from the enthought distribution.   I  
must be thinking about this wrong someone, but I thought that if you  
did a plot, then updated the data on the plot object, and called draw  
that it would actually draw it (like it does in matlab).  right now  
it just gives me a blank figure, with a busy mouse icon, and then  
shows the last plot done.

thanks,

			Brian Blais



import numpy

import matplotlib.pyplot as plt
h,=plt.plot([1,2,3])
plt.ylabel('some numbers')
plt.show()

for i in range(100):

     h.set_ydata(numpy.random.rand(3)*2+1)
     plt.draw()





-- 
Brian Blais
bb...@br...
http://web.bryant.edu/~bblais