matplotlib-users Mailing List for matplotlib

Hi Alastair,

I don't have  clue why yours doesn't work.

however I changed the following line in the update function
data[20]=data[20]+0.5

to
data = np.random.randn(100)

And it started updating the display, with new data each update.
maybe changing a single point is not seen as a big enough change?

Steve

Alastair McKinley wrote:
> Hi everyone,
>
> I am a new matplotlib user building a simple visualization tool.
>
> I was having some issues with the graph not redrawing and I think I 
> have reduced it to a minimal case that doesn't work as expected for me.
>
> In the example below one of the data elements is changed on every 
> iteration of the update function, but the graph does not update as 
> expected.
>
> Am I making a mistake in my usage?
>
> Alastair
>
>
>
> #!/usr/bin/env python
>
> import gtk
> import gobject
> from matplotlib.figure import Figure
> import numpy as np
>
> from matplotlib.backends.backend_
> gtkagg import FigureCanvasGTKAgg as FigureCanvas
>
> def update(line):
>     global data
>     data[20]=data[20]+0.5
>     line.set_ydata(data)
>     line.axes.figure.canvas.draw()
>     return True
>
> win = gtk.Window()
> win.connect("destroy", lambda x: x.destroy())
> win.set_default_size(400,300)
> fig = Figure(figsize=(5,4), dpi=100)
> ax = fig.add_subplot(111)
> canvas = FigureCanvas(fig)
> win.add(canvas)
>
> data = np.random.randn(100)
> line, = ax.plot(data)
>
> win.show_all()
>
> gobject.timeout_add(1000,update,line)
>
> gtk.main()
> ------------------------------------------------------------------------

Hi,

How can I put the bottom axis on top (or on top AND on bottom) for a barh plot?

I'm trying to mimic this, made with gnuplot:

  http://www.hep.wisc.edu/cms/comp/cmsprod/dCacheUserUsage.png

within matplotlib, and I've come close,

  http://www.hep.wisc.edu/cms/comp/cmsprod/diskUserUsage.png


Also, is it possible to just have grid lines in one direction (say, vertical), I don't think the horizontal grid is necessary.

Thanks for any help,
Mike



PS: Anyone who is interested, my script for making that is here,
  http://www.hep.wisc.edu/cms/comp/cmsprod/plotDiskUse.py

Hi everyone,

I am a new matplotlib user building a simple visualization tool.

I was having some issues with the graph not redrawing and I think I have
reduced it to a minimal case that doesn't work as expected for me.

In the example below one of the data elements is changed on every iteration
of the update function, but the graph does not update as expected.

Am I making a mistake in my usage?

Alastair



#!/usr/bin/env python

import gtk
import gobject
from matplotlib.figure import Figure
import numpy as np

from matplotlib.backends.backend_
gtkagg import FigureCanvasGTKAgg as FigureCanvas

def update(line):
    global data
    data[20]=data[20]+0.5
    line.set_ydata(data)
    line.axes.figure.canvas.draw()
    return True

win = gtk.Window()
win.connect("destroy", lambda x: x.destroy())
win.set_default_size(400,300)
fig = Figure(figsize=(5,4), dpi=100)
ax = fig.add_subplot(111)
canvas = FigureCanvas(fig)
win.add(canvas)

data = np.random.randn(100)
line, = ax.plot(data)

win.show_all()

gobject.timeout_add(1000,update,line)

gtk.main()

Hi everyone,

I am a new matplotlib user building a simple visualization tool.

I was having some issues with the graph not redrawing and I think I have
reduced it to a minimal case that doesn't work as expected for me.

In the example below one of the data elements is changed on every iteration
of the update function, but the graph does not update as expected.

Am I making a mistake in my usage?

Alastair



#!/usr/bin/env python

import gtk
import gobject
from matplotlib.figure import Figure
import numpy as np

from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as
FigureCanvas

def update(line):
    global data
    data[20]=data[20]+0.5
    line.set_ydata(data)
    line.axes.figure.canvas.draw()
    return True

win = gtk.Window()
win.connect("destroy", lambda x: x.destroy())
win.set_default_size(400,300)
fig = Figure(figsize=(5,4), dpi=100)
ax = fig.add_subplot(111)
canvas = FigureCanvas(fig)
win.add(canvas)

data = np.random.randn(100)
line, = ax.plot(data)

win.show_all()

gobject.timeout_add(1000,update,line)

gtk.main()