Re: [Matplotlib-users] range for log scale
P.S. I noted that the new versions of OOcalc and Exel, 3.0 and 2007, now do allow log scales other than in decades. Janwillem wrote: Is it possible to have in Matplotlib.pyplot a log (base 10) scale that does go from xmin to xmax where xmin and xmax are not powers of 10 (as in Excel and OOCalc)?? E.g. a scale from 20 to 2500 like you can do in SciDAVis (and Origin and Mathematica) Scale/from and Scale/to. I hope so, Thanks, Janwillem -- Come build with us! The BlackBerryreg; Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9#45;12, 2009. Register now#33; http://p.sf.net/sfu/devconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- View this message in context: http://www.nabble.com/range-for-log-scale-tp25529894p25530202.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Come build with us! The BlackBerryreg; Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9#45;12, 2009. Register now#33; http://p.sf.net/sfu/devconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Error in doc?
On Wednesday 09 September 2009 17:10:43 Jorge Scandaliaris wrote:
Hi,
I think I found a bug, but I am not sure if it's in the doc or in a method
name. In the doc, there is reference to a method *suptitle* in class
mpl.figure.Figure. The name sounds strange, but the method exists and
works. The example given, though, makes reference to *subtitle*, so either
the example or the method name are wrong. Here's the link to the doc:
http://matplotlib.sourceforge.net/api/figure_api.html?highlight=legend#matp
lotlib.figure.Figure.suptitle
jorge
Hi list,
I can confirm this difference for current SVN (Last Changed Rev: 7802, see
attachement), too.
Maybe some of the developers could correct the subtle error.
Kind regards,
Matthias
$ svn info
Path: .
URL: https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib
Repository Root: https://matplotlib.svn.sourceforge.net/svnroot/matplotlib
Repository UUID: f61c4167-ca0d-0410-bb4a-bb21726e55ed
Revision: 7802
Node Kind: directory
Schedule: normal
Last Changed Author: jdh2358
Last Changed Rev: 7802
Last Changed Date: 2009-09-21 00:10:07 +0200 (Mon, 21 Sep 2009)
SUBTITLE :
---
./lib/matplotlib/figure.py:303: fig.subtitle('this is the figure
title', fontsize=12)
./build/lib.linux-i686-2.5/matplotlib/figure.py:302:
fig.subtitle('this is the figure title', fontsize=12)
SUPTITLE :
---
./doc/pyplots/text_commands.py:5:fig.suptitle('bold figure suptitle',
fontsize=14, fontweight='bold')
./lib/matplotlib/pyplot.py:392:@docstring.copy_dedent(Figure.suptitle)
./lib/matplotlib/pyplot.py:393:def suptitle(*args, **kwargs):
./lib/matplotlib/pyplot.py:394:ret = gcf().suptitle(*args, **kwargs)
./lib/matplotlib/pylab.py:83: suptitle - add a figure title
./lib/matplotlib/figure.py:280:def suptitle(self, t, **kwargs):
./examples/event_handling/figure_axes_enter_leave.py:28:fig1.suptitle('mouse
hover over figure or axes to trigger events')
./examples/event_handling/figure_axes_enter_leave.py:38:fig2.suptitle('mouse
hover over figure or axes to trigger events')
./examples/pylab_examples/custom_cmap.py:165:plt.suptitle('Custom Blue-Red
colormaps')
./examples/pylab_examples/figure_title.py:19:suptitle('This is a somewhat long
figure title', fontsize=16)
./examples/pylab_examples/image_nonuniform.py:20:fig.suptitle('NonUniformImage
class')
./build/lib.linux-i686-2.5/matplotlib/pyplot.py:398:def suptitle(*args,
**kwargs):
./build/lib.linux-i686-2.5/matplotlib/pyplot.py:399:ret =
gcf().suptitle(*args, **kwargs)
./build/lib.linux-i686-2.5/matplotlib/pyplot.py:402:if Figure.suptitle.__doc__
is not None:
./build/lib.linux-i686-2.5/matplotlib/pyplot.py:403:suptitle.__doc__ =
dedent(Figure.suptitle.__doc__)
./build/lib.linux-i686-2.5/matplotlib/pylab.py:83: suptitle - add a figure
title
./build/lib.linux-i686-2.5/matplotlib/figure.py:279:def suptitle(self, t,
**kwargs):
--
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[Matplotlib-users] plot of 2D array without masked values?
Hi, I'm plotting 2D-ndarrays with pylab.pcolor(). The data contain masked values and it can happen that entire rows or columns hold only masked values. Is there a build-in way to omitted such rows/columns? Currently I'm removing the labels in x and y and the row/columns by hand. TIA Christian -- Come build with us! The BlackBerryreg; Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9#45;12, 2009. Register now#33; http://p.sf.net/sfu/devconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Error in doc?
On Mon, Sep 21, 2009 at 5:13 AM, Matthias Michler matthiasmich...@gmx.netwrote: On Wednesday 09 September 2009 17:10:43 Jorge Scandaliaris wrote: Hi, I think I found a bug, but I am not sure if it's in the doc or in a method name. In the doc, there is reference to a method *suptitle* in class mpl.figure.Figure. The name sounds strange, but the method exists and works. The example given, though, makes reference to *subtitle*, so either the example or the method name are wrong. Here's the link to the doc: http://matplotlib.sourceforge.net/api/figure_api.html?highlight=legend#matp lotlib.figure.Figure.suptitle jorge Hi list, I can confirm this difference for current SVN (Last Changed Rev: 7802, see attachement), too. Maybe some of the developers could correct the subtle error. Done. suptitle is the correct name, as it's kind of a super title that appears at the top of a figure with multiple panels, not a subtitle. Thanks for catching this. Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma Sent from Norman, Oklahoma, United States -- Come build with us! The BlackBerryreg; Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9#45;12, 2009. Register now#33; http://p.sf.net/sfu/devconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Piecewise Cubic Hermite Interpolating Polynomial in python
Chris, regarding the print statements in the function you may want to use something like: total_matches = (xx == x).sum() if total_matches != n: raise ValueError(x values weren't in sorted order) I also have one question: in function pchip_eval instead of t = (xvec - x[k]) / h[k] should not be t = (xvec - x[k]) / h ? Best regards, Ricardo Bessa Chris Michalski-3 wrote: Recently, I had a need for a monotonic piece-wise cubic Hermite interpolator. Matlab provides the function pchip (Piecewise Cubic Hermite Interpolator), but when I Googled I didn't find any Python equivalent. I tried interp1d() from scipy.interpolate but this was a standard cubic spline using all of the data - not a piece-wise cubic spline. I had access to Matlab documentation, so I spent a some time tracing through the code to figure out how I might write a Python duplicate. This was an massive exercise in frustration and a potent reminder on why I love Python and use Matlab only under duress. I find typical Matlab code is poorly documented (if at all) and that apparently includes the code included in their official releases. I also find Matlab syntax “dated” and the code very difficult to “read”. Wikipedia to the rescue. Not to be deterred, I found a couple of very well written Wikipedia entries, which explained in simple language how to compute the interpolant. Hats off to whoever wrote these entries – they are excellent. The result was a surprising small amount of code considering the Matlab code was approaching 10 pages of incomprehensible code. Again - strong evidence that things are just better in Python... Offered for those who might have the same need – a Python pchip() equivalent == pypchip(). Since I'm not sure how attachments work (or if they work at all...), I copied the code I used below, followed by a PNG showing success: # #pychip.py #Michalski #20090818 # #Piecewise cubic Hermite interpolation (monotonic...) in Python # #References: # #Wikipedia: Monotone cubic interpolation #Cubic Hermite spline # #A cubic Hermte spline is a third degree spline with each polynomial of the spline #in Hermite form. The Hermite form consists of two control points and two control #tangents for each polynomial. Each interpolation is performed on one sub-interval #at a time (piece-wise). A monotone cubic interpolation is a variant of cubic #interpolation that preserves monotonicity of the data to be interpolated (in other #words, it controls overshoot). Monotonicity is preserved by linear interpolation #but not by cubic interpolation. # #Use: # #There are two separate calls, the first call, pchip_init(), computes the slopes that #the interpolator needs. If there are a large number of points to compute, #it is more efficient to compute the slopes once, rather than for every point #being evaluated. The second call, pchip_eval(), takes the slopes computed by #pchip_init() along with X, Y, and a vector of desired xnews and computes a vector #of ynews. If only a handful of points is needed, pchip() is a third function #which combines a call to pchip_init() followed by pchip_eval(). # import pylab as P #= def pchip(x, y, xnew): # Compute the slopes used by the piecewise cubic Hermite interpolator m= pchip_init(x, y) # Use these slopes (along with the Hermite basis function) to interpolate ynew = pchip_eval(x, y, xnew) return ynew #= def x_is_okay(x,xvec): # Make sure x and xvec satisfy the conditions for # running the pchip interpolator n = len(x) m = len(xvec) # Make sure x is in sorted order (brute force, but works...) xx = x.copy() xx.sort() total_matches = (xx == x).sum() if total_matches != n: print * * 50 print x_is_okay() print x values weren't in sorted order --- aborting return False # Make sure 'x' doesn't have any repeated values delta = x[1:] - x[:-1] if (delta == 0.0).any(): print * * 50 print x_is_okay() print x values weren't monotonic--- aborting return False # Check for in-range xvec values (beyond upper edge) check = xvec x[-1] if check.any(): print * * 50 print x_is_okay() print Certain 'xvec' values are beyond the upper end of 'x' print x_max = , x[-1] indices = P.compress(check, range(m)) print out-of-range xvec's = , xvec[indices] print out-of-range xvec indices = , indices return False # Second -
Re: [Matplotlib-users] Changing edge colour of scatterplot
On Sun, Sep 20, 2009 at 11:45 PM, bwgoudey bwgou...@gmail.com wrote: I'm trying to draw a scatter plot where each point is a different colour and is only a single pixel. Unfortunately at the minute, while I can change the colour and size, I haven't been able to remove the edges of the markers and my single pixel becomes the colour of the edge. I've attached some sample code below. Can anyway see what I've done wrong? It currently just gives back an error. Your code works as expected with the current svn head. If you're using older version of mpl, can you try to update and see if it solves the problem? If you're using recent version of mpl, please post an error message you got. And a related question. Is using scatter the best way to draw a plot of single pixels? Or would it be more efficient to use one of the more primitive classes to do this? matplotlib basically creates a vector-based plot, and a notion of single-pixel is not very meaningful. While it makes some sense for raster output formats like png, but still, the result depends on the dpi of your output. Note that unit for the parameter s in the scatter function is in points(**2). 1 points corresponds to one pixel in dpi=72. With higher dpi, the scatter points will occupy more than a single pixel. Regards, -JJ fig = plt.figure() ax = fig.add_subplot(111) x=[1,2,3,4] y=[2,3,5,4] s=1 c=[0.4, 0.2, 0.3, 0.5] prop=dict(edgecolors='none') ax.scatter(x,y, s=s, c=c, **prop) plt.show() -- View this message in context: http://www.nabble.com/Changing-edge-colour-of-scatterplot-tp25530171p25530171.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Come build with us! The BlackBerryreg; Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9#45;12, 2009. Register now#33; http://p.sf.net/sfu/devconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Come build with us! The BlackBerryreg; Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9#45;12, 2009. Register now#33; http://p.sf.net/sfu/devconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
