Hi,
This is more a coding/algorithm question than a straight matplotlib question.
I have x and y data based on a parameter k. x and y have noise, so that even
though k increases monotonically neither x nor y are guaranteed to do so. x can
have duplicates.
I need to find the area under the curv
Thank you -- this is what I was looking for. The only issue is that my "fig"
objects have no "num" attribute -- it is called "number" instead. So if I
use this, instead, it works fine:
>>> somenum in [fig.number for fig in figs]
-Ian
-
I am a BugMeNot account and postings from this us
On Wed, Aug 13, 2008 at 12:40 PM, Eric Firing <[EMAIL PROTECTED]> wrote:
> Mathieu Leplatre wrote:
>> Is there a way to automatically guess margins according to chart content ?
>
> There is nothing like that built into mpl. It is not an easy thing to
> do in general--that is, for an arbitrary set
Mathieu Leplatre wrote:
> Is there a way to automatically guess margins according to chart content ?
There is nothing like that built into mpl. It is not an easy thing to
do in general--that is, for an arbitrary set of axes, labels, widgets, etc.
Eric
>
> Like, in this small example :
>
> im
Is there a way to automatically guess margins according to chart content ?
Like, in this small example :
import pylab
fig = pylab.figure()
pylab.plot([1,2,3])
pylab.title('Big One', fontsize=72)
topmargin = 0.2 # Auto ?
fig.subplots_adjust(top=1.0-topmargin)
pylab.show()
--
Hi all,
I've searched in examples and archives and could not find anything
about manual control of space between bars.
By default, the bars in the following script overlap.
So I guess the behaviour is :
specify chart width (8in) + bar width (0.8) => auto bar space
And I would like to know how t
Hello
I have a problem with manually set plot labels.
The baseline of the labels is not aligned when using the PDF output.
It works fine for PS or PNG.
Attached is a script which demonstrates my problem.
Running
python test_baseline.py -dPDF
gives me a corrupted baseline for the x-labels.
I
