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Paul Hobson wrote:
> The only pyplot function I let myself use is plt.subplots() to quickly
> create the Figure and Axes objects. From that point on, I operate on those
> objects directly. Frankly, it reads almost exactly like pyplot code, but it
> is a *lot* more clear what's going on.
> 
...
Actually this is going to be harder than I thought. Looking around for some 
examples of API not using pyplot I'm not turning up much. If I look at 
http://matplotlib.org/api/index.html
I quickly find myself staring at pyplot docs, and if I look at a few 
http://matplotlib.org/examples/index.html
I see pyplot examples.
Where would I find non-pyplot examples and docs?

Hi,
I'm trying to display a mosaic of image tiles in a single plot, but I keep
getting lines between the tiles. Is there a way to avoid these lines?
(I'd really rather not pre-process the images to stitch them all together
into a single image.)
The following code reproduces the problem:
 
import matplotlib.pyplot as plt
import numpy as np
 
e1 = (27, 31.5, 31.5, 36)
e2 = (31.5, 36, 31.5, 36)
 
image = np.zeros((10, 10))
for e in (e1, e2):
 plt.imshow(image, extent=e)
plt.xlim(27, 36)
plt.show()
I've also tried the following with no improvement:
 plt.imshow(image, extent=e, interpolation='none', resample=False)
Thanks,
Richard Hattersley

The only pyplot function I let myself use is plt.subplots() to quickly
create the Figure and Axes objects. From that point on, I operate on those
objects directly. Frankly, it reads almost exactly like pyplot code, but it
is a *lot* more clear what's going on.
On Wed, Apr 30, 2014 at 4:49 AM, Neal Becker <ndb...@gm...> wrote:
> I've never used matlab (and hope never to have to). But I've been using
> pyplot
> api for mpl for quite a while.
>
> Is there any good reason to move to the "native" mpl api and drop pyplot?
> I ask
> because as I understand, pyplot is intended as a matlab workalike, and
> since I
> never learned matlab I have no need for that crutch. OTOH, I'm quite used
> to
> the pyplot api at this point.
>
>
>
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I wrote up my answer to this question on stackoverflow once:
https://stackoverflow.com/questions/19895262/when-to-use-the-matplotlib-pyplot-class-and-when-to-use-the-plot-object-matplot/21004357#21004357
Others may have different opinions or variations on the theme, but this is
how I look at the issue. It is also the reason why I don't want to
deprecate pylab (but do want to keep it out of examples).
Cheers!
Ben Root
On Wed, Apr 30, 2014 at 7:49 AM, Neal Becker <ndb...@gm...> wrote:
> I've never used matlab (and hope never to have to). But I've been using
> pyplot
> api for mpl for quite a while.
>
> Is there any good reason to move to the "native" mpl api and drop pyplot?
> I ask
> because as I understand, pyplot is intended as a matlab workalike, and
> since I
> never learned matlab I have no need for that crutch. OTOH, I'm quite used
> to
> the pyplot api at this point.
>
>
>
> ------------------------------------------------------------------------------
> "Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE
> Instantly run your Selenium tests across 300+ browser/OS combos. Get
> unparalleled scalability from the best Selenium testing platform available.
> Simple to use. Nothing to install. Get started now for free."
> http://p.sf.net/sfu/SauceLabs
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

I've never used matlab (and hope never to have to). But I've been using pyplot 
api for mpl for quite a while.
Is there any good reason to move to the "native" mpl api and drop pyplot? I ask 
because as I understand, pyplot is intended as a matlab workalike, and since I 
never learned matlab I have no need for that crutch. OTOH, I'm quite used to 
the pyplot api at this point.

I already got the answer:
 ax = plt.gca()
 def format_coord(x, y):
 return 'x=%.4f, y=%.4f'%(m(x, y, inverse = True))
 ax.format_coord = format_coord
This does exactly what I wanted. :-)
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