matplotlib-users Mailing List for matplotlib (Page 5)

2012年12月4日 Pierre Haessig <pie...@cr...>
> I just edited your file :
> https://gist.github.com/4203760
>
> I made 2 changes:
> * added a call to random.seed to make you code reproductible.
> * altered the call to set_clip_on(False). It should be called on the
> Line2D object returned by plot()
>
> I think it solves your clipping problem.
>
Pierre, it works perfectly! Thank you so much.
All the best.
-- 
Vilson Vieira
vi...@vo...
((( http://automata.cc )))
((( http://musa.cc )))
((( http://labmacambira.sourceforge.net )))

On 4 December 2012 17:20, Goyo <goy...@gm...> wrote:
> 2012年12月4日 Tristan Strange <tri...@gm...>:
> > - I'd like each of the ticks on the x axis centred beneath each of the
> bars.
> exp(0.1 + np.log(y))
> I'm not sure I understand this. align=center might be what you want.
This is exactly what I was after.
>
> > - I'd like numbers in normal integer form not 10 to power form on the y
> > axis.
>
> I'm sure it can be done but I'm unable to help. Are you sure you want
> so many zeros in the Y tick labels?
>
Think you're right there actually.
> Also the calls to xticks() and plot() are useless. Check this code:
> http://pastebin.com/ELNV9Bea
This is exactly what I was after many thanks.
Cheers,
Tristan

2012年12月4日 Tristan Strange <tri...@gm...>:
> Hi all,
>
> I'm just getting started with matplotlib and am having a few problems
> producing a simple bar graph. The code I'm writing to produce this can be
> found here: http://pastebin.com/T0WA2dh8
>
> The issues I'm having are as follows:
>
> - The bars in my graph do not show as filled blue after I make the the y
> axis logarithmic. How do I stop this from occurring.
Set the y scale before calling bar().
> - Each bar needs "centring" - they are arranged to the left of where I'd
> like them to be currently.
> - I'd like each of the ticks on the x axis centred beneath each of the bars.
exp(0.1 + np.log(y))
I'm not sure I understand this. align=center might be what you want.
> - I'm struggling to position text neatly above each of the bars - I've
> managed to position text well horizontally but not vertically. The log scale
> is making it hard for me to work out where to position them.
If you write the text at y+k, then you'll see it log(y+k)-log(y) above
the bar in the logarithmic plot. So if you want to see it h above the
bar you have to write it at exp(h + log(y)).
> - I'd like numbers in normal integer form not 10 to power form on the y
> axis.
I'm sure it can be done but I'm unable to help. Are you sure you want
so many zeros in the Y tick labels?
> Also how do I label each axis?
xlabel(), ylabel()
Also the calls to xticks() and plot() are useless. Check this code:
http://pastebin.com/ELNV9Bea
> Any help offered will be very much appreciated.
>
> Cheers,
> Tristan
>
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Hi all,
I'm just getting started with matplotlib and am having a few problems
producing a simple bar graph. The code I'm writing to produce this can be
found here: http://pastebin.com/T0WA2dh8
The issues I'm having are as follows:
- The bars in my graph do not show as filled blue after I make the the y
axis logarithmic. How do I stop this from occurring.
- Each bar needs "centring" - they are arranged to the left of where I'd
like them to be currently.
- I'd like each of the ticks on the x axis centred beneath each of the bars.
- I'm struggling to position text neatly above each of the bars -
I've managed to position text well horizontally but not vertically. The log
scale is making it hard for me to work out where to position them.
- I'd like numbers in normal integer form not 10 to power form on the y
axis.
Also how do I label each axis?
Any help offered will be very much appreciated.
Cheers,
Tristan

Hi,
Le 29/11/2012 20:42, Vilson Vieira a écrit :
> I tried the no_clip function but it didn't worked:
> https://gist.github.com/4171341
I just edited your file :
https://gist.github.com/4203760
I made 2 changes:
 * added a call to random.seed to make you code reproductible.
 * altered the call to set_clip_on(False). It should be called on the
Line2D object returned by plot()
I think it solves your clipping problem.
Best,
Pierre

Hi,
First off, thanks for building and supporting this excellent project.
I'm having trouble using the mulitprocessing example code at
http://matplotlib.org/examples/misc/multiprocess.html with WXAgg. Things
appear to work fine in the original script but when I change GTKAgg to
WXAgg in this script I do not get any points plotted, just a blank
interactive window.
Is it possible to use WXAgg and multiprocessing together? I have a large wx
project I would like to incorporate multiprocessing matplotlib plots into.
Thanks,
Greg

Hi,
I have an 'axes' and some Line2D instance 'line' which is part of the 
axes artists.
Suppose the plot has been zoomed so only a small window of the original 
axes is visible. Is there a fast/convenient method that can be used to 
test if a Line2D object is visible at the current zoom level.
Of course you can test with
data = line.get_xydata()
(x_0, x_1) = axes.get_xlim()
(y_0, y_1) = axes.get_ylim()
invisible_x = (data[:,0].max() < x_0) or (data[:,0].min() > x_1)
invisible_y = (data[:,1].max() < y_0) or (data[:,1].min() > y_1)
but there might be something more convenient method/approach for this.
Best regards,
Mads
-- 
+-----------------------------------------------------+
| Mads Ipsen |
+----------------------+------------------------------+
| Gåsebæksvej 7, 4. tv | |
| DK-2500 Valby | phone: +45-29716388 |
| Denmark | email: mad...@gm... |
+----------------------+------------------------------+

Hi all,
 I was wondering why there are inconsistent values for the 'linestyle' 
option in matplotlib.backend_bases.GraphicsContextBase. The values 
allowed are 'solid', 'dashed', 'dotted' and 'dashdot', aside from tuples.
Compare this with the options available for the usual pyplot.plot() 
command, where the linestyles are '-', '--', '-.', ':', etc.
Is there a specific reason for the difference in the options? It doesn't 
seem too hard to add the options '-', '--', etc to the 
GraphicsContextBase class - one only needs to add these to a dict at
https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/backend_bases.py#L671
 Regards,
 basu.