matplotlib-users Mailing List for matplotlib

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Hi all,
I regularly use matplotlib for plotting data relating to my personal 
finances. At the moment I'm converting Decimals to floats. Do I still 
have to do this? If yes, are there any plans to support Decimals? I've 
tried searching the latest PDF document, my apologies if I've missed 
anything, in which case could I have a pointer please.
-- 
Cheers.
Mark Lawrence.

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Khary,
On Sun, Jun 10, 2012 at 3:30 PM, surfcast23 <sur...@gm...> wrote:
>
> to matplotlib-use.
> Hi,
>
> I have a data set that is composed of x,y,z coordinates of the center of
> cells and counts of objects in each contained in cell. I am using the
> following code to do a scatter plot of the counts per cell.
>
>
> ax = fig.add_subplot(111, projection='3d')
> ax.scatter(Xa, Ya, Za, zdir='z', s=C, c='b')
> ax.set_xlabel('X Label')
> ax.set_ylabel('Y Label')
> ax.set_zlabel('Z Label')
> plt.show()
>
> Where Xa, Ya, Za, are arrays containing the cell centers, and C is an array
> of counts per cell. Below is a plot I did where the blue circles represent
> the "size in points^2. It is a scalar or an array of the same length as x
> and y."(Quote from docs). What I would like to do is have the plot show
> the actual number of counts as points in the plot. Is such a thing
> possible?
> Thanks
>
> Best,
> Khary
>
I think this example might be what you are looking for:
http://matplotlib.sourceforge.net/mpl_toolkits/mplot3d/tutorial.html#text
Cheers!
Ben Root

Ananduri,
On Fri, Jun 15, 2012 at 8:47 AM, ananduri <aru...@gm...> wrote:
>
> Hello,
>
> I have some minor questions regarding matplotlib. I'm using it to make a 3d
> plot, displaying a surface, it's contour map, a line climbing the surface
> and its projection onto the contour map.
>
> http://old.nabble.com/file/p34015720/landscape_draft.pnglandscape_draft.png
>
> As you can see, when the lines cross the contourf, they are somewhat
> obscured. Before I made the contourf transparent, the lines were blocked,
> even though they were above the contour plot when I viewed the picture from
> a different angle. Can this be fixed? I want the lines to appear on top of
> the contour plot.
>
>
Unfortunately, no. Matplotlib was originally designed as a 2D layering
renderer. The mplot3d toolkit tries to work within that framework, but in
the end, each artist object has to be represented by a single 3rd dimension
coordinate (the layer), and so when two artists share bounding box regions,
physically incorrect results will happen. Please see this FAQ:
http://matplotlib.sourceforge.net/mpl_toolkits/mplot3d/faq.html#my-3d-plot-doesn-t-look-right-at-certain-viewing-angles
> Also, I am trying to extend the z axis to be lower. This is most of the
> code
> I'm using:
>
> fig=plt.figure(1)
> ax=fig.gca(projection='3d')
>
> x=np.arange(0,2.5,.02)
> y=np.arange(0,2.3,.02)
> x,y=np.meshgrid(x,y)
>
> ax.plot_surface(x,y,Z(x,y),alpha=0.3)
>
> cset=ax.contourf(x,y,Z(x,y),zdir='z',offset=-2,
> cmap=plt.cm.jet,levels=np.linspace(0,9,100),alpha=0.5)
>
> ax.set_xlabel('x')
> ax.set_ylabel('y')
>
> ax.set_zlim(-2,8) #This is where I try to change the z axis limits.
>
> plt.show()
>
> I'm excluding the code which plots the lines. ax.set_zlim doesn't do
> anything; why is this?
>
That would depend on which version of matplotlib you are using. The v1.1.x
branch should have that working properly.
Cheers!
Ben Root

Hi there,
I'm sorry to ask such a newbie question, but I'd like to format a custom box plot and although there are numerous examples on the web and tons of docstrings in matplotlib, I'm stuck somehow. My problems center around axes / spines. In detail, my problems are:
1) I want an y-axis on the left that spans from -0.6 to 1.1, ends in an arrow, has major ticks at 0 and 1 and minor ticks at [0.1...0.9]
As far as I understand, there is no option to let spines end in an arrow head, so I have to draw the myself. I get the ticks to appear at the right positions and the y-range to be as desired - however, the spine line is not drawn over the full y-range, but only where there is data in the diagram. Also, I copied the arrow annotation code blindly from an older post on this list, but do not understand how I can adapt the arrow head to appear at a data position (instead of at the corner of the Axes area). One problem is, that I get ticks on the right although that spine was disabled.
2) I want some kind of x-axis at y==0, without ticks and without arrow
Using some methods on the spines, I can disable the top spine and move the bottom spine to zero. However, as with the y-axis, I cannot control from where to where the line itself is drawn.
As attachments, you'll find a hand sketch of what my graph should look like and matplotlib code that goes nearly all the way.
I would be very happy about a hint on how to fix the problems left.
Thanks an advance,
Mark
[cid:ed2...@ex...]

Hello,
I have some minor questions regarding matplotlib. I'm using it to make a 3d
plot, displaying a surface, it's contour map, a line climbing the surface
and its projection onto the contour map.
http://old.nabble.com/file/p34015720/landscape_draft.png landscape_draft.png 
 
As you can see, when the lines cross the contourf, they are somewhat
obscured. Before I made the contourf transparent, the lines were blocked,
even though they were above the contour plot when I viewed the picture from
a different angle. Can this be fixed? I want the lines to appear on top of
the contour plot.
Also, I am trying to extend the z axis to be lower. This is most of the code
I'm using:
fig=plt.figure(1)
ax=fig.gca(projection='3d')
x=np.arange(0,2.5,.02)
y=np.arange(0,2.3,.02)
x,y=np.meshgrid(x,y)
ax.plot_surface(x,y,Z(x,y),alpha=0.3)
cset=ax.contourf(x,y,Z(x,y),zdir='z',offset=-2,
cmap=plt.cm.jet,levels=np.linspace(0,9,100),alpha=0.5)
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlim(-2,8) #This is where I try to change the z axis limits.
plt.show()
I'm excluding the code which plots the lines. ax.set_zlim doesn't do
anything; why is this?
-- 
View this message in context: http://old.nabble.com/3d-contourf-and-ax.set-tp34015720p34015720.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Jeff: in the end, i decided to suspend this kind of approach to problem,
but should give it a try in the future. thanks for suggestion.
-Yasin
2012年6月14日 Jeff Whitaker <jef...@no...>
> On 6/14/12 7:52 AM, Yasin Selçuk Berber wrote:
>
> I want to set a projection area larger than data's geographical coverage.
>
> But data must still be georeferenced correctly inside map region
> and coastlines in projection area should still be visible outside data
> area.
>
> right now, the data is always stretched inside whole projection area.
>
> trying to mimic with characters:
>
>
> --right now--
>
> ulcorner
> _______________________
> | p r o j. a r e a |
> | |
> | w h o l e |
> | d a t a |
> | i s |
> | s t r e t c h e d |
> | |
> -----------------------| lrcorner
>
>
> --what i try to do--
>
> ulcorner
> _______________________
> | |
> |__________ this |
> | | is |
> | this |projection |
> | is | area |
> | data | |
> | | |
> -----------------------| lrcorner
>
>
> Code below certainly does not work and stretch data to full projection
> region:
>
> -------------------------
> *code skipped*
>
> m = Basemap(projection='merc',llcrnrlat=37,urcrnrlat=42,\
> llcrnrlon=24,urcrnrlon=34,resolution='i')
>
> m.imshow(data, cmap=plt.cm.jet, interpolation='nearest')
>
> plt.show()
>
> *code skipped*
> ---------------------------
>
> i fiddled with imshow's extent and clip_box keywords but since could not
> get it work. and googling for a serious amount of time didnt help either.
> Some posts on web mentioned bbox or set_autoscale_on related things but i
> cant seem to get it. Any ideas ?
>
> thanks.
>
>
> --
> Yasin Selçuk Berber
> "Bismillah, her hayrın başıdır."
>
>
> Yasin: If you use pcolor or contourf, you can specify the x,y (map
> projection) coordinates of the data grid, and the data will be plotted on a
> subset of the map projection region. imshow (which doesn't take x,y
> coordinates) just fills the whole plotting region with an image. If you
> want to use imshow, perhaps you could define an inset map (with no
> coastlines drawn) inside your larger map, and plot the image on the inset
> map.
>
> -Jeff
>
> --
> Jeffrey S. Whitaker Phone : (303)497-6313
> Meteorologist FAX : (303)497-6449
> NOAA/OAR/PSD R/PSD1 Email : Jef...@no...
> 325 Broadway Office : Skaggs Research Cntr 1D-113
> Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg
>
>
-- 
Yasin Selçuk Berber
"Bismillah, her hayrın başıdır."

On 06/14/2012 02:39 PM, Peter Würtz wrote:
>
>
>
> Benjamin Root-2 wrote:
>>
>> On Wed, Jun 13, 2012 at 10:46 AM, Peter Würtz
>> <pw...@go...>wrote:
>>
>>> import matplotlib
>>> import pylab as p
>>>
>>> p.plot([1,2,3])
>>> p.xticks([1],["tick"])
>>> ax = p.gca()
>>> fig = p.gcf()
>>>
>>> p.draw()
>>> def print_texts(artist):
>>> for t in artist.findobj(matplotlib.text.Text):
>>> if t.get_visible() and t.get_text():
>>> print " %s @ %s" % (t.get_text(), t.get_position())
>>>
>>> print "X-Axis"
>>> print_texts(ax.xaxis)
>>
>> This is my output using v1.1.1-rc2
>>
>> X-Axis
>> tick @ (1.0, 0.0)
>> tick @ (0.0, 1.0)
>>
>> Strange indeed.
>>
>>
>
> So, it is a bug then? Doesn't look like a feature to me :)
The reason it is happening is that Tick is a complicated beast, and it 
always includes two Text objects, whether they are needed or not. 
Whether they are drawn is controlled by the attributes 'label1On' and 
'label2On', not by the standard Artist.get_visible(). I don't see any 
reason offhand why it couldn't be modified to use get_visible().
Eric

On Thursday, June 14, 2012, Jonathan Hayward wrote:
> http://matplotlib.sourceforge.net/examples/axes_grid/scatter_hist.html
>
> This is something I'd like to be able to produce, but for millions of
> records, where the center will look like one undifferentiated mass of dark
> blue.
>
> Is there a way to let something like that scale better to large sizes? For
> instance, is it possible to have a point be one pixel and an RGBA color of
> 00000001 (black color one notch away from complete transparency)? Or for
> another approach, is it possible to say "I want the highest value to be the
> darkest color, e.g. black and everything else to be greyscale against its
> percentage of the maximum value?
>
> Other suggestions?
>
Have you taken a look at hexbin()? It is usually what I use for situations
like this.
Cheers!
Ben Root
>

Benjamin Root-2 wrote:
> 
> On Wed, Jun 13, 2012 at 10:46 AM, Peter Würtz
> <pw...@go...>wrote:
> 
>> import matplotlib
>> import pylab as p
>>
>> p.plot([1,2,3])
>> p.xticks([1],["tick"])
>> ax = p.gca()
>> fig = p.gcf()
>>
>> p.draw()
>> def print_texts(artist):
>> for t in artist.findobj(matplotlib.text.Text):
>> if t.get_visible() and t.get_text():
>> print " %s @ %s" % (t.get_text(), t.get_position())
>>
>> print "X-Axis"
>> print_texts(ax.xaxis)
> 
> This is my output using v1.1.1-rc2
> 
> X-Axis
> tick @ (1.0, 0.0)
> tick @ (0.0, 1.0)
> 
> Strange indeed.
> 
> 
So, it is a bug then? Doesn't look like a feature to me :)
-- 
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