* John Hunter <[EMAIL PROTECTED]> [070611 16:20]:
> So the answer of which is better is a question of skill level and
> context, but my simple advice is to use the pylab syntax from the
> interactive python shell (and "ipython -pylab" is ideal for this) and
> the API everywhere else. Most of my scripts are variants of this:
>
> import numpy as npy
> from pylab import figure, close, show
> fig = figure()
> ax = fig.add_subplot(111)
> x = npy.arange(0,10.)
> ax.plot(x)
> show()
Hello,
is there also a (possible object oriented) way to show/print a given
figure? Like fig.show() or fig.print_figure(). I need it because I have
a script generating (returning) several plots, and the user should be
able to print/show the plots he likes. At the moment I use:
ipython -pylab
from myscript import plotgenerator
fig = plotgenerator()
canvas = get_current_fig_manager().canvas
canvas.figure = fig
canvas.print_figure('myplot.png')
Here plotgenerator does something like:
from matplotlib.figure import Figure
fig = Figure()
ax = myplot.add_subplot(111)
ax.plot(x)
But its cumbersome, and canvas.show() doesn not work (it gives an
exception). Best would be if fig.show() (popping up a new canvas) and
fig.print_figure() worked.
Best Regards, Roman
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