Not with contourf(), no. But, you can always add many Text objects after
plotting the contourf() (just loop over the dimensions of your array at
some stride and add Text objects at the appropriate coordinates). In fact,
there might even be a feature coming up soon that would make this sort of
task
You can use the 'origin' keyword:
pl.controuf(Matrix, origin='lower')
or
pl.controuf(Matrix, origin='upper')
Nicolas
On May 23, 2013, at 7:27 AM, Bakhtiyor Zokhidov
wrote:
> Hi,
>
> I have following code:
>
> import numpy as np
> import pylab as pl
>
> Matrix(10,10) =
> np.array([[ 4.
Eric Firing wrote:
>
> On Wed, Dec 28, 2011 at 1:11 AM, Jeff Whitaker wrote:
>>
>> On 12/27/11 12:07 PM, Logi Ragnarsson wrote:
>>
>>> Is it supposed to be possible to do a filled contour plot with alpha levels
>>> in the colour map? I'm plotting weather data on top of maps and would very
>>> mu
On 12/30/2011 01:57 PM, Paul Ivanov wrote:
> Eric Firing, on 2011-12-27 15:31, wrote:
>> It looks like this is something I can fix by modifying ListedColormap.
>> It is discarding the alpha values, and I don't think there is any reason
>> it needs to do so.
>
> One of my first attempts at a contri
Eric Firing, on 2011-12-27 15:31, wrote:
> It looks like this is something I can fix by modifying ListedColormap.
> It is discarding the alpha values, and I don't think there is any reason
> it needs to do so.
One of my first attempts at a contribution to matplotlib three
years ago was related
On 12/27/2011 03:11 PM, Jeff Whitaker wrote:
> On 12/27/11 12:07 PM, Logi Ragnarsson wrote:
>> Hello,
>>
>> Is it supposed to be possible to do a filled contour plot with alpha
>> levels in the colour map? I'm plotting weather data on top of maps and
>> would very much like to plot low levels of wi
On 12/27/11 12:07 PM, Logi Ragnarsson wrote:
> Hello,
>
> Is it supposed to be possible to do a filled contour plot with alpha
> levels in the colour map? I'm plotting weather data on top of maps and
> would very much like to plot low levels of wind and precipitation as
> mostly transparent, wit
On 12/13/2011 11:03 AM, Nico Schlömer wrote:
> Hi all,
>
> when drawing contourf plots, I inspected the underlying
> matplotlib.path.Path elements that determine the curves and noticed
> that they are all of code LINETO (see
> http://matplotlib.sourceforge.net/api/path_api.html#matplotlib.path.Path
Bala,
the white space you see is due to contourf trying to have the axes ticks end
on a round number. If you don't want that behavior, you can set the limits
of the plot after calling contourf() with something like this:
contourf(X, Y, Z)
xlim(x_min, x_max)
ylim(y_min, y_max)
presuming you woul
My simple way to solve the white-lines issue is simply to give the contourf
command twice:
contourf(x,y,z)
contourf(x,y,z)
The white lines are magically disappearing, also in png files.
This works well also with alpha<1
Tsviki Hirsh
> What version of mpl are you using?
My mpl version is 0.99.1
> CS = contourf(Z)
> for c in CS.collections:
> c.set_antialiased(False)
Eric,
Thank you! I like this very much!
So, the last thing is, is there any way to set this antialiased feature to
False by default?
efiring wrote:
>
> lmkli wrote:
>>> What version of mpl are you using?
>> My mpl v
lmkli wrote:
>> What version of mpl are you using?
> My mpl version is 0.99.1
>
>> Are you modifying the default anti-aliasing in the patch collections that
>> contour is creating?
> Could you please tell me how to this? I am very new to matplotlib, thank you
> very much if you can give me some
> What version of mpl are you using?
My mpl version is 0.99.1
> Are you modifying the default anti-aliasing in the patch collections that
> contour is creating?
Could you please tell me how to this? I am very new to matplotlib, thank you
very much if you can give me some advices.
>Are you seei
> 2010/3/29 Alan G Isaac :
> > Can you explain this:
> > norm = colors.Normalize(vmin = -1, vmax = 1)
On 3/28/2010 10:05 PM, Friedrich Romstedt wrote:
> The normaliser takes some arbitrary value and returns a value in [0,
> 1]. Hence the name. The value \in [0, 1] is handed over to the
> cma
2010/3/29 Alan G Isaac :
> Can you explain this:
> norm = colors.Normalize(vmin = -1, vmax = 1)
The normaliser takes some arbitrary value and returns a value in [0,
1]. Hence the name. The value \in [0, 1] is handed over to the
cmap's __call__(), resulting in the color value. And yes, I guess y
On 3/28/2010 7:19 PM, Friedrich Romstedt wrote:
> I fixed your problem
Can you explain this:
norm = colors.Normalize(vmin = -1, vmax = 1)
I take it that this scales the range for the
color bar, which is what 'luminance' must
refer to in the docs? In which case, can
we just set vmin and vmax as i
2010/3/29 Alan G Isaac :
> OK, it's obvious one you point it out.
> Sorry for the typo in the example.
>
> Now suppose I want a colorbar labelled at -1, 0, 1
> but the highest value realized is <1. Can I somehow
> use ticks=(-1,0,1) anyway, or do I have to tick at
> the realized limits and then la
On 3/28/2010 3:04 PM, Ryan May wrote:
> it's just using indices, which run from 0 to 99. Since the limits
> are 0 to 100, bam...white space because, indeed, there is no data.
>
OK, it's obvious one you point it out.
Sorry for the typo in the example.
Now suppose I want a colorbar labelled at
On Sun, Mar 28, 2010 at 11:16 AM, Alan G Isaac wrote:
> Using contourf in version 0.99.1,
> I'm seeing an unwanted white strip to
> the top and right, adjacent to the axes.
> (In fact, the strip looks just wide
> enough to underlay the ticks.)
>
> Alan Isaac
>
> PS Simple example:
>
> x = np.linsp
lmkli wrote:
> Thank you!
>
> I just thought there must be a solution.
> I saw someone posted he can modified contour.py to fix this, but I failed.
> :(
>
What version of mpl are you using? Are you modifying the default
anti-aliasing in the patch collections that contour is creating? Are you
Thank you!
I just thought there must be a solution.
I saw someone posted he can modified contour.py to fix this, but I failed.
:(
Marius 't Hart-3 wrote:
>
> Actually, it does not draw the polygon edges, but leaves small gaps
> between them. Through those gaps you can see the background. (Thi
Actually, it does not draw the polygon edges, but leaves small gaps
between them. Through those gaps you can see the background. (This also
happens with polar plots and other polygons by the way.) I consider this
a bug, though there are ways around it. For contour plots one can plot
two contour
I deem it useful if you would add a
print map_XX.shape, map_YY.shape, y.shape .
I'm suspicious about their shape. _check_xyz() accepts 2D X,Y-arrays
only if their shape is equal to that of y (y in your case).
Friedrich
--
Hi there,
I think I made a mistake with putting in a tuple in my first email, but here
is the error output from the contourf that I call within a script. I use
this script before with a square grid and there is no problem. Anyway, after
your email, I played with the script again and I think I have
Shrividya Ravi wrote:
> Hi all,
> I have been using contourf quite happily with a square number of grid
> points. e.g. a 20 by 20 grid. I recently decided to do a contourf plot
> of a 20 by 15 grid (300 points) and I get errors. Unfortunately, I am
> plotting experimental data so I cannot really
Great. Just what I needed. I appreciate it.
- James
On Feb 2, 2010, at 1:56 PM, Eric Firing wrote:
> James Conners wrote:
>> Hi,
>>
>> I'm having some trouble producing a filled contour how I want it.
>>
>> Say I'm plotting data over the range [1.2, 20] using 15 level lines evenly
>> spa
James Conners wrote:
> Hi,
>
> I'm having some trouble producing a filled contour how I want it.
>
> Say I'm plotting data over the range [1.2, 20] using 15 level lines evenly
> spaced
> over that interval. I'd like the min of that interval to map to the min of
> the color spectrum (say "jet"
R. Mitra wrote:
> Hello All
>Thanks a lot Eric. I think I have some module missing but I cannot
> figure out what it is. I get the following. Any idea. This started
> hapening after I reinstalled matplotlib.
This is a numpy installation or version problem--notice that at the
bottom of t
Hello All
Thanks a lot Eric. I think I have some module missing but I
cannot figure out what it is. I get the following. Any idea. This
started hapening after I reinstalled matplotlib.
File "/Users/Kennel/Pythoncodes/coolingmodel.py", line 6, in
import matplotlib
File "/Lib
R. Mitra wrote:
> Hi
> I am having problems with contourf(). Suppose I have two 10X30
> arrays X,Y and a corresponding Z value array. How do I make the
> upper left to be the origin? I cannot use contour (Z,origin='upper')
> because the axis values gets messed up.
It sounds like maybe y
P.R.
-Original Message-
From: Jeff Whitaker [mailto:jsw...@fastmail.fm]
Sent: 2009-08-13 10:56 AM
To: P.R.
Cc: matplotlib-users@lists.sourceforge.net
Subject: Re: [Matplotlib-users] contourf interpolation/smoothness
P.R. wrote:
> Jeff,
> One more question:
> Given two arbitrary X&Y a
lats and lons defining the output grid by dividing the input grid
size by 2. Is there something in the docstring that is not clear?
-Jeff
> -Original Message-
> From: Jeff Whitaker [mailto:jsw...@fastmail.fm]
> Sent: 2009-08-13 7:15 AM
> To: Eric Firing
> Cc: P.R.; matp
n handle arbitrary grid sizes & resolutions, so I
can't just hard-code the X&Y sizes for the finer grid.
Any ideas?
Thanks,
P.Romero
-Original Message-
From: Jeff Whitaker [mailto:jsw...@fastmail.fm]
Sent: 2009-08-13 7:15 AM
To: Eric Firing
Cc: P.R.; matplotlib-users@lists.sourceforge.ne
Jeff,
Perfect.
I'll give that a try...
Thanks again,
P.R.
-Original Message-
From: Jeff Whitaker [mailto:jsw...@fastmail.fm]
Sent: 2009-08-13 7:15 AM
To: Eric Firing
Cc: P.R.; matplotlib-users@lists.sourceforge.net
Subject: Re: [Matplotlib-users] contourf interpolation/smoot
Eric Firing wrote:
> P.R. wrote:
>
>> This has probably been asked before, so I apologize...
>>
>> Is it possible to improve the smoothness/interpolation used in contourf?
>> I know that the interpolation can be set for imshow(pcolor?), but I couldn't
>> see how to set it for contourf.
>>
>> Rig
P.R. wrote:
> This has probably been asked before, so I apologize...
>
> Is it possible to improve the smoothness/interpolation used in contourf?
> I know that the interpolation can be set for imshow(pcolor?), but I couldn't
> see how to set it for contourf.
>
> Right now, contourf is producing s
Beautiful! The SVN version worked well for this.
I forgot to check whether the workaround for version 0.98.5.3 worked; you
may be right, and I may have simply forgotten to redraw the figure, but I
think I did so (I normally kill my windows between plotting).
Thanks very much for your help with th
The example in the cookbool works fine with svn version of mpl.
So, it seems that this bug has been fixed.
Anyhow, which command (contour or contourf) draws the vertical lines?
I bet it is contourf. And set_edgecolor("none") for return value of
contourf should have some effect. Did you redraw the
Oh, and I'm using the Agg backend, I think, whatever is the default.
On Thu, Jul 2, 2009 at 7:19 PM, Rick Muller wrote:
> JJ
>
> Thanks for the tips. I had seen one of those posts whilst googling around
> for the bug, but discounted it because I'm not using an alpha value.
>
> Here are links to
JJ
Thanks for the tips. I had seen one of those posts whilst googling around
for the bug, but discounted it because I'm not using an alpha value.
Here are links to one of the cookbook examples, and one of the files that I
want to plot:
http://files.getdropbox.com/u/533499/griddata-test.png
http:/
The dropbox link is broken (you need a public url).
What version of mpl and what backend are you using?
There was a similar problem which has now been fixed.
Try the work-around described in the thread below, and see if works.
http://www.nabble.com/problems-with-contourf---alpha-td22553269.html
Christian K. writes:
>
> Hi,
>
> could someone please point me to an example which shows how to achieve a
filled
> contour plot with a logarithmic value scale both for the contour data and the
> colorbar?
>
> Thanks in advance, Christian
>
I just noticed that this has been discussed recen
Thomas Schmelzer wrote:
> Hello experts,
> I have two matrices (one random matrix with entries between -3 and +3
> and one with entries say between -4 and 4).
> I would like to plot a contourf for both of them with corresponding
> color scheme (ranging say from -5 to 5).
> I am a newbie, so pleas
That is one solution, but perhaps I should have asked about a solution for
contourf as well. It would be preferable to be able to use a logarithmic
colormap rather than translating the variable.
-
This SF.net email is sponsored
washakie wrote:
> Hello,
>
> I'm trying to find a way to use imshow or contourf with a logarithmic
> colormap. Searching the threads I've found a few queries about this before,
> but not a solution. Any suggestions?
>
> Thanks!
Maybe I am not understanding correctly, but could you simply plot th
[EMAIL PROTECTED] wrote:
> Thanks again Eric,
>
> Your examples are exactly what I was after.
Glad to hear it!
> My colleague was hypothesizing that there's probably a less-than instead of a
> less-than-or-equal somewhere, if it is a bug.
>
That was part of it, but it was a little more subtle
Thanks again Eric,
Your examples are exactly what I was after.
My colleague was hypothesizing that there's probably a less-than instead of a
less-than-or-equal somewhere, if it is a bug.
regards,
Gary
Eric Firing <[EMAIL PROTECTED]> wrote:
> [EMAIL PROTECTED] wrote:
> > Thanks Eric.
> >
[EMAIL PROTECTED] wrote:
> Thanks Eric.
>
> However, when I specify the same number of levels as suggested, contourf
> divides this example into three regions, with a diagonal 'stripe' instead of
> a clean boundary, so I guess I'm asking whether it's possible to trick
> contourf into generating
Thanks Eric.
However, when I specify the same number of levels as suggested, contourf
divides this example into three regions, with a diagonal 'stripe' instead of a
clean boundary, so I guess I'm asking whether it's possible to trick contourf
into generating a single boundary between the two re
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