matplotlib-users Mailing List for matplotlib

I'm trying to find a matplotlib 0.99.3 binary installer that works with 
the standard python.org Python (preferably 2.6) and hence works with Mac 
OS X 10.4 or greater. (I distribute an application that needs to run on 
a wide range of versions of Mac OS X).
The official binary I found refuses to install on my machine claiming it 
wants system python 2.6 (I happen to be running 10.5 so that's no use to 
me, and some users of my application are running 10.4).
I also tried the egg, but of course it fails -- presumably it's based on 
the same build.
If a binary isn't available I"ll make my own, but I figured I'd check 
first.
-- Russell

I have a non-matplotlib related project that requires usage of GSHHS dataset shapefiles.
The regular GSHHS dataset doesnt appear to include political boundaries, however the GSHHS dataset used by matplotlib/basemap does include country/border data. I'd like to extract matplotlib/basemap GSHHS country data & convert it to shapefile format.
specifically, the following files that are included with matplotlib/basemap:
countries_c.dat
countries_f.dat
countries_h.dat
countries_i.dat
countries_l.dat
countriesmeta_c.dat 
countriesmeta_f.dat
countriesmeta_h.dat
countriesmeta_i.dat
countriesmeta_l.dat
how can I convert these files to shapefile format, or where can I get shapefiles that already include this data & that are based on the GSHHS coastline data?
please help,
thanks,
P.Romero
 		 	 		 
_________________________________________________________________
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On 06/30/2010 10:40 AM, magnus_p wrote:
>
> I am trying to plot a spectrum, with lower x axis = velocity, on the upper =
> frequency
>
> The relationship between them (doppler formula) is
> f = (1-v/c)*f_0
> where f is the resulting frequency, v the velocity, c the speed of light,
> and f_0 the frequency at v=0, ie. the v_lsr.
>
> I have tried to solve it by looking at
> http://matplotlib.sourceforge.net/examples/axes_grid/parasite_simple2.html
> http://matplotlib.sourceforge.net/examples/axes_grid/parasite_simple2.html
> , where it is solved by
>
> pm_to_kms = 1./206265.*2300*3.085e18/3.15e7/1.e5
> aux_trans = matplotlib.transforms.Affine2D().scale(pm_to_kms, 1.)
> ax_pm = ax_kms.twin(aux_trans)
> ax_pm.set_viewlim_mode("transform")
>
> well, my problem is that it is not a simple scaling law, but a linear
> function.
>
> Anyone know how to solve this?
>
> Magnus
I had a similar problem when I needed to plot some data in terms of 
frequency and wavelength. See the attached example script.
Regards,
João Silva

Hello,
I have a subplot with 4 lines.
I display the legend.
I can remove a line easily with something like del(self.ax.lines[n]).
But how can I remove the line in the legend ?
I found that I can remove all the lines, add news ones, but all the
lines (new and deleted) remain in the legend.
thanks for helping
Philippe

I am trying to plot some data over a mesh using the plot_surface
method. However when I plot my data, everything is the same color
when I expected to get a nice rainbow of colors as in the example:
http://matplotlib.sourceforge.net/examples/mplot3d/surface3d_demo.html
I have attached a simple script to show what I did as well as the
result. Essentially, I just copied the above demo, but put my own
data in. I think the problem arises because I have "holes" in my
data, or areas where the data is zero. These zeros throw the scaling
off so I tried to eliminate their effect, but this messed everything
up.
Essentially my question is: how can I get a nice color distribution
while at the same time avoid the extreme scaling issues associated
with some data being zero (while all the other data is ~16)?
Thanks,
Jeremy

I am trying to plot a spectrum, with lower x axis = velocity, on the upper =
frequency
The relationship between them (doppler formula) is 
f = (1-v/c)*f_0 
where f is the resulting frequency, v the velocity, c the speed of light,
and f_0 the frequency at v=0, ie. the v_lsr.
I have tried to solve it by looking at 
http://matplotlib.sourceforge.net/examples/axes_grid/parasite_simple2.html
http://matplotlib.sourceforge.net/examples/axes_grid/parasite_simple2.html 
, where it is solved by 
pm_to_kms = 1./206265.*2300*3.085e18/3.15e7/1.e5
aux_trans = matplotlib.transforms.Affine2D().scale(pm_to_kms, 1.)
ax_pm = ax_kms.twin(aux_trans)
ax_pm.set_viewlim_mode("transform")
well, my problem is that it is not a simple scaling law, but a linear
function.
Anyone know how to solve this?
Magnus
-- 
View this message in context: http://old.nabble.com/Twiny-and-affine-transform-for-xlim-tp29032627p29032627.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi,
Thanks for the suggestions. I also came the same conclusion about ordering
the arrays before hand. This did the trick for the zorder, but I also have
to make the marker unique for each data point. I need to keep everything
into one artist since I'm using a pick event to display the data represented
by that point. I'm not sure how I can use just 1 Artist, but get a variety
of distinct shapes (circles, squares, and triangles should be sufficient).
Thanks so much!
Aman
PS. Sorry about the duplicate emails Jeff. I forgot to hit "Reply to All"
the first time.
On Tue, Jun 29, 2010 at 3:39 PM, Jeff Whitaker <js...@fa...> wrote:
> On 6/29/10 1:19 PM, Thomas Lecocq wrote:
>
> Hi,
>
> What about ordering the arrays before plotting ? Are the first elements
> drawn back to front ?
>
> Thomas
>
> **********************
> Thomas Lecocq
> Geologist
> Ph.D.Student (Seismology)
> Royal Observatory of Belgium
> **********************
>
>
>
> ------------------------------
> Date: 2010年6月28日 12:55:22 -0400
> From: ath...@we...
> To: mat...@li...
> Subject: [Matplotlib-users] zorder for individual points in a scatter plot
> on a Basemap
>
> Hi,
>
> I'm currently using a scatter plot on a Basemap and I'd like to set the
> zorder of the individual points based on their temperature. The higher the
> temperature, the higher the zorder. Also, i'm using a colorbar to set the
> colors for the plot. Here is a snippet of my code:
>
> x = np.array(val)
> fig.sca(ax1)
> lon_0 =(urcrnrlon+llcrnrlon)/2
> lat_0 =(urcrnrlat+llcrnrlat)/2
> m =
> Basemap(llcrnrlon=llcrnrlon,llcrnrlat=llcrnrlat,urcrnrlon=urcrnrlon,
>
> urcrnrlat=urcrnrlat,resolution='i',projection='cyl',lon_0=lon_0,lat_0=lat_0)
> m.drawcoastlines()
> m.drawmapboundary()
> m.drawparallels(np.arange(llcrnrlat-1,urcrnrlat+1,5.))
> m.drawmeridians(np.arange(llcrnrlon-1,urcrnrlon+1,5.))
> m.fillcontinents(color='white',lake_color='aqua')
> m.drawcountries(linewidth=1)
> lons,lats = m(lon,lat)
>
> #I can do it this way, but this screws up the colorbar
> #for i in range(len(x)):
> #
> m.scatter(lons[i],lats[i],c=x[i],marker='o',picker=5,zorder=x[i])
>
> m.scatter(lons,lats,c=x,marker='o',picker=5)
> plt.title('Time Range: %s to %s'%(startDay.strftime("%b-%d
> %H:%M"),endDay.strftime("%b-%d %H:%M")))
> plt.colorbar(shrink=0.5)
>
> Is there anyway to set the zorder of the points without using the loop in
> commented code? Any help would be greatly appreciated.
>
> Thanks,
>
>
> Aman: You can save the mappable from the scatter you want the colorbar to
> represent, then pass that to colorbar. i.e.
>
> im = m.scatter(lons,lats,c=x,marker='o',picker=5) # plot all the pts, save
> mappable
> # now do one at a time
>
> for i in range(len(x)):
> m.scatter(lons[i],lats[i],c=x[i],marker='o',picker=5,zorder=x[i])
> plt.colorbar(im,shrink=0.5) # use mappable from 1st call to scatter for
> colorbar
>
> -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
>
>
>
> ------------------------------------------------------------------------------
> This SF.net email is sponsored by Sprint
> What will you do first with EVO, the first 4G phone?
> Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
-- 
Aman Thakral
B.Eng & Biosci, M.Eng Design

We have uploaded a tarball and Windows and OSX binaries of
matplotlib-1.0rc for testing
 http://drop.io/xortel1#
Please report bugs to the tracker:
http://sourceforge.net/tracker2/?group_id=80706
A few highlights:
* Closed over 100 bugs in past three months -- largely due to the
 heroic efforts of Eric Firing
* Faster magnification of large images, and the ability to zoom in
 to a single pixel
* axes_grid improvements
* Local installs of documentation work better
* tick_params -- makes it easier to control the properties and
locations of ticks
* Improved "widgets" -- mouse grabbing is supported
* Improved consistency between backends of the "show" function:
 blocking is more consistent and all backends can call it
 multiple times
* More accurate snapping of lines to pixel boundaries
* More consistent handling of color, particularly the alpha
 channel, throughout the API
* image based regression testing, buildbot tests triggered on svn commits
* JJs new gridspec is definitely worth a mention and a code
 snippet and/or screenshot (the trunkdocs link is currently
 broken
 http://matplotlib.sourceforge.net/trunk-docs/users/gridspec.html).
 In this context you may also mention Fernando's "subplots".
* enhanced annotation features.
* Ian's monumental contour fix: now contourf handles interior masked
 regions, and the boundaries of line and filled contours coincide
CHANGELOG since 0.99:
2010年06月20日 Added Axes.tick_params and corresponding pyplot function
 to control tick and tick label appearance after an Axes
 has been created. - EF
2010年06月09日 Allow Axes.grid to control minor gridlines; allow
 Axes.grid and Axis.grid to control major and minor
 gridlines in the same method call. - EF
2010年06月06日 Change the way we do split/dividend adjustments in
 finance.py to handle dividends and fix the zero division bug reported
 in sf bug 2949906 and 2123566. Note that volume is not adjusted
 because the Yahoo CSV does not distinguish between share
 split and dividend adjustments making it near impossible to
 get volume adjustement right (unless we want to guess based
 on the size of the adjustment or scrape the html tables,
 which we don't) - JDH
2010年06月06日 Updated dateutil to 1.5 and pytz to 2010h.
2010年06月02日 Add error_kw kwarg to Axes.bar(). - EF
2010年06月01日 Fix pcolormesh() and QuadMesh to pass on kwargs as
 appropriate. - RM
2010年05月18日 Merge mpl_toolkits.gridspec into the main tree. - JJL
2010年05月04日 Improve backend_qt4 so it displays figures with the
 correct size - DSD
2010年04月20日 Added generic support for connecting to a timer for events. This
 adds TimerBase, TimerGTK, TimerQT, TimerWx, and TimerTk to
 the backends and a new_timer() method to each backend's
 canvas to allow ease of creating a new timer. - RM
2010年04月20日 Added margins() Axes method and pyplot function. - EF
2010年04月18日 update the axes_grid documentation. -JJL
2010年04月18日 Control MaxNLocator parameters after instantiation,
 and via Axes.locator_params method, with corresponding
 pyplot function. -EF
2010年04月18日 Control ScalarFormatter offsets directly and via the
 Axes.ticklabel_format() method, and add that to pyplot. -EF
2010年04月16日 Add a close_event to the backends. -RM
2010年04月06日 modify axes_grid examples to use axes_grid1 and axisartist. -JJL
2010年04月06日 rebase axes_grid using axes_grid1 and axisartist modules. -JJL
2010年04月06日 axes_grid toolkit is splitted into two separate modules,
 axes_grid1 and axisartist. -JJL
2010年04月05日 Speed up import: import pytz only if and when it is
 needed. It is not needed if the rc timezone is UTC. - EF
2010年04月03日 Added color kwarg to Axes.hist(), based on work by
 Jeff Klukas. - EF
2010年03月24日 refactor colorbar code so that no cla() is necessary when
 mappable is changed. -JJL
2010年03月22日 fix incorrect rubber band during the zoom mode when mouse
 leaves the axes. -JJL
2010年03月21日 x/y key during the zoom mode only changes the x/y limits. -JJL
2010年03月20日 Added pyplot.sca() function suggested by JJL. - EF
2010年03月20日 Added conditional support for new Tooltip API in gtk backend. - EF
2010年03月20日 Changed plt.fig_subplot() to plt.subplots() after discussion on
 list, and changed its API to return axes as a numpy object array
 (with control of dimensions via squeeze keyword). FP.
2010年03月13日 Manually brought in commits from branch
 ------------------------------------------------------------------------
 r8191 | leejjoon | 2010年03月13日 17:27:57 -0500 (2010年3月13日) | 1 line
 fix the bug that handles for scatter are incorrectly set when dpi!=72.
 Thanks to Ray Speth for the bug report.
2010年03月03日 Manually brought in commits from branch via diff/patch
 (svnmerge is broken)
 ------------------------------------------------------------------------
 r8175 | leejjoon | 2010年03月03日 10:03:30 -0800 (2010年3月03日) | 1 line
 fix arguments of allow_rasterization.draw_wrapper
 ------------------------------------------------------------------------
 r8174 | jdh2358 | 2010年03月03日 09:15:58 -0800 (2010年3月03日) | 1 line
 added support for favicon in docs build
 ------------------------------------------------------------------------
 r8173 | jdh2358 | 2010年03月03日 08:56:16 -0800 (2010年3月03日) | 1 line
 applied Mattias get_bounds patch
 ------------------------------------------------------------------------
 r8172 | jdh2358 | 2010年03月03日 08:31:42 -0800 (2010年3月03日) | 1 line
 fix svnmerge download instructions
 ------------------------------------------------------------------------
 r8171 | jdh2358 | 2010年03月03日 07:47:48 -0800 (2010年3月03日) | 1 line
2010年02月25日 add annotation_demo3.py that demonstrates new functionality. -JJL
2010年02月25日 refactor Annotation to support arbitrary Transform as xycoords
 or textcoords. Also, if a tuple of two coordinates is provided,
 they are interpreted as coordinates for each x and y position.
 -JJL
2010年02月24日 Added pyplot.fig_subplot(), to create a figure and a group of
 subplots in a single call. This offers an easier pattern than
 manually making figures and calling add_subplot() multiple times. FP
2010年02月17日 Added Gokhan's and Mattias' customizable keybindings patch
 for the toolbar. You can now set the keymap.* properties
 in the matplotlibrc file. Newbindings were added for
 toggling log scaling on the x-axis. JDH
2010年02月16日 Committed TJ's filled marker patch for
 left|right|bottom|top|full filled markers. See
 examples/pylab_examples/filledmarker_demo.py. JDH
2010年02月11日 Added 'bootstrap' option to boxplot. This allows bootstrap
 estimates of median confidence intervals. Based on an
 initial patch by Paul Hobson. - ADS
2010年02月06日 Added setup.cfg "basedirlist" option to override setting
 in setupext.py "basedir" dictionary; added "gnu0"
 platform requested by Benjamin Drung. - EF
2010年02月06日 Added 'xy' scaling option to EllipseCollection. - EF
2010年02月03日 Made plot_directive use a custom PlotWarning category, so that
 warnings can be turned into fatal errors easily if desired. - FP
2010年01月29日 Added draggable method to Legend to allow mouse drag
 placement. Thanks Adam Fraser. JDH
2010年01月25日 Fixed a bug reported by Olle Engdegard, when using
 histograms with stepfilled and log=True - MM
2010年01月16日 Upgraded CXX to 6.1.1 - JDH
2009年01月16日 Don't create minor ticks on top of existing major
 ticks. Patch by Neil Crighton. -ADS
2009年01月16日 Ensure three minor ticks always drawn (SF# 2924245). Patch
 by Neil Crighton. -ADS
2010年01月16日 Applied patch by Ian Thomas to fix two contouring
 problems: now contourf handles interior masked regions,
 and the boundaries of line and filled contours coincide. - EF
2009年01月11日 The color of legend patch follows the rc parameters
 axes.facecolor and axes.edgecolor. -JJL
2009年01月11日 adjustable of Axes can be "box-forced" which allow
 sharing axes. -JJL
2009年01月11日 Add add_click and pop_click methods in
 BlockingContourLabeler. -JJL
2010年01月03日 Added rcParams['axes.color_cycle'] - EF
2010年01月03日 Added Pierre's qt4 formlayout editor and toolbar button - JDH
2009年12月31日 Add support for using math text as marker symbols (Thanks to tcb)
 - MGD
2009年12月31日 Commit a workaround for a regression in PyQt4-4.6.{0,1} - DSD
2009年12月22日 Fix cmap data for gist_earth_r, etc. -JJL
2009年12月20日 spines: put spines in data coordinates, add set_bounds()
 call. -ADS
2009年12月18日 Don't limit notch size in boxplot to q1-q3 range, as this
 is effectively making the data look better than it is. - ADS
2009年12月18日 mlab.prctile handles even-length data, such that the median
 is the mean of the two middle values. - ADS
2009年12月15日 Add raw-image (unsampled) support for the ps backend. - JJL
2009年12月14日 Add patch_artist kwarg to boxplot, but keep old default.
 Convert boxplot_demo2.py to use the new patch_artist. - ADS
2009年12月06日 axes_grid: reimplemented AxisArtist with FloatingAxes support.
 Added new examples. - JJL
2009年12月01日 Applied Laurent Dufrechou's patch to improve blitting with
 the qt4 backend - DSD
2009年11月13日 The pdf backend now allows changing the contents of
 a pdf file's information dictionary via PdfPages.infodict. - JKS
2009年11月12日 font_manager.py should no longer cause EINTR on Python 2.6
 (but will on the 2.5 version of subprocess). Also the
 fc-list command in that file was fixed so now it should
 actually find the list of fontconfig fonts. - JKS
2009年11月10日 Single images, and all images in renderers with
 option_image_nocomposite (i.e. agg, macosx and the svg
 backend when rcParams['svg.image_noscale'] is True), are
 now drawn respecting the zorder relative to other
 artists. (Note that there may now be inconsistencies across
 backends when more than one image is drawn at varying
 zorders, but this change introduces correct behavior for
 the backends in which it's easy to do so.)
2009年10月21日 Make AutoDateLocator more configurable by adding options
 to control the maximum and minimum number of ticks. Also
 add control of the intervals to be used for ticking. This
 does not change behavior but opens previously hard-coded
 behavior to runtime modification`. - RMM
2009年10月19日 Add "path_effects" support for Text and Patch. See
 examples/pylab_examples/patheffect_demo.py -JJL
2009年10月19日 Add "use_clabeltext" option to clabel. If True, clabels
 will be created with ClabelText class, which recalculates
 rotation angle of the label during the drawing time. -JJL
2009年10月16日 Make AutoDateFormatter actually use any specified
 timezone setting.This was only working correctly
 when no timezone was specified. - RMM
2009年09月27日 Beginnings of a capability to test the pdf backend. - JKS
2009年09月27日 Add a savefig.extension rcparam to control the default
 filename extension used by savefig. - JKS

On 6/29/10 1:19 PM, Thomas Lecocq wrote:
> Hi,
>
> What about ordering the arrays before plotting ? Are the first 
> elements drawn back to front ?
>
> Thomas
>
> **********************
> Thomas Lecocq
> Geologist
> Ph.D.Student (Seismology)
> Royal Observatory of Belgium
> **********************
>
>
>
> ------------------------------------------------------------------------
> Date: 2010年6月28日 12:55:22 -0400
> From: ath...@we...
> To: mat...@li...
> Subject: [Matplotlib-users] zorder for individual points in a scatter 
> plot on a Basemap
>
> Hi,
>
> I'm currently using a scatter plot on a Basemap and I'd like to set 
> the zorder of the individual points based on their temperature. The 
> higher the temperature, the higher the zorder. Also, i'm using a 
> colorbar to set the colors for the plot. Here is a snippet of my code:
>
> x = np.array(val)
> fig.sca(ax1)
> lon_0 =(urcrnrlon+llcrnrlon)/2
> lat_0 =(urcrnrlat+llcrnrlat)/2
> m = 
> Basemap(llcrnrlon=llcrnrlon,llcrnrlat=llcrnrlat,urcrnrlon=urcrnrlon,
> 
> urcrnrlat=urcrnrlat,resolution='i',projection='cyl',lon_0=lon_0,lat_0=lat_0)
> m.drawcoastlines()
> m.drawmapboundary()
> m.drawparallels(np.arange(llcrnrlat-1,urcrnrlat+1,5.))
> m.drawmeridians(np.arange(llcrnrlon-1,urcrnrlon+1,5.))
> m.fillcontinents(color='white',lake_color='aqua')
> m.drawcountries(linewidth=1)
> lons,lats = m(lon,lat)
>
> #I can do it this way, but this screws up the colorbar
> #for i in range(len(x)):
> # 
> m.scatter(lons[i],lats[i],c=x[i],marker='o',picker=5,zorder=x[i])
>
> m.scatter(lons,lats,c=x,marker='o',picker=5)
> plt.title('Time Range: %s to %s'%(startDay.strftime("%b-%d 
> %H:%M"),endDay.strftime("%b-%d %H:%M")))
> plt.colorbar(shrink=0.5)
>
> Is there anyway to set the zorder of the points without using the loop 
> in commented code? Any help would be greatly appreciated.
>
> Thanks,
>
Aman: You can save the mappable from the scatter you want the colorbar 
to represent, then pass that to colorbar. i.e.
im = m.scatter(lons,lats,c=x,marker='o',picker=5) # plot all the pts, 
save mappable
# now do one at a time
for i in range(len(x)):
 m.scatter(lons[i],lats[i],c=x[i],marker='o',picker=5,zorder=x[i])
plt.colorbar(im,shrink=0.5) # use mappable from 1st call to scatter for 
colorbar
-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

Hi,
 
You can also use Numpy.gradient to compute the gradient , if e.g. your dx and dy aren't the same. 
 
Cheers, 
 
Thom
**********************
Thomas Lecocq 
Geologist
Ph.D.Student (Seismology)
Royal Observatory of Belgium
**********************
 
> Date: 2010年6月29日 16:28:11 +0200
> From: mat...@li...
> To: mat...@li...
> Subject: Re: [Matplotlib-users] Displaying the gradient of an image
> 
> Hello,
> 
> I finally found the solution. It's as simple as:
> figure();
> imshow(img);
> pylab.quiver(U, V, units='x');
> 
> Mathieu
> 
> ------------------------------------------------------------------------------
> This SF.net email is sponsored by Sprint
> What will you do first with EVO, the first 4G phone?
> Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
 		 	 		 

Hi,
 
What about ordering the arrays before plotting ? Are the first elements drawn back to front ?
 
Thomas
**********************
Thomas Lecocq 
Geologist
Ph.D.Student (Seismology)
Royal Observatory of Belgium
**********************
 
Date: 2010年6月28日 12:55:22 -0400
From: ath...@we...
To: mat...@li...
Subject: [Matplotlib-users] zorder for individual points in a scatter plot on a Basemap
Hi,
I'm currently using a scatter plot on a Basemap and I'd like to set the zorder of the individual points based on their temperature. The higher the temperature, the higher the zorder. Also, i'm using a colorbar to set the colors for the plot. Here is a snippet of my code:
 x = np.array(val)
 fig.sca(ax1)
 lon_0 =(urcrnrlon+llcrnrlon)/2
 lat_0 =(urcrnrlat+llcrnrlat)/2
 m = Basemap(llcrnrlon=llcrnrlon,llcrnrlat=llcrnrlat,urcrnrlon=urcrnrlon,
 urcrnrlat=urcrnrlat,resolution='i',projection='cyl',lon_0=lon_0,lat_0=lat_0)
 m.drawcoastlines()
 m.drawmapboundary()
 m.drawparallels(np.arange(llcrnrlat-1,urcrnrlat+1,5.))
 m.drawmeridians(np.arange(llcrnrlon-1,urcrnrlon+1,5.))
 m.fillcontinents(color='white',lake_color='aqua')
 m.drawcountries(linewidth=1)
 lons,lats = m(lon,lat)
 
 #I can do it this way, but this screws up the colorbar
 #for i in range(len(x)):
 # m.scatter(lons[i],lats[i],c=x[i],marker='o',picker=5,zorder=x[i]) 
 
 m.scatter(lons,lats,c=x,marker='o',picker=5) 
 plt.title('Time Range: %s to %s'%(startDay.strftime("%b-%d %H:%M"),endDay.strftime("%b-%d %H:%M")))
 plt.colorbar(shrink=0.5)
Is there anyway to set the zorder of the points without using the loop in commented code? Any help would be greatly appreciated.
Thanks,
Aman
 		 	 		 

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I finally got it to work. I did the compilation of matplotlib with:
sudo make -f make.osx fetch deps mpl_build mpl_install
sudo python setup.py install
as described here:
http://blog.hyperjeff.net/?p=160
The first command correctly compiled matplotlib but installed it to
/usr/local. The second command incorrectly compiled matplotlib and installed
it in the Framework. Copying ft2font.so over from the /usr/local
installation fixed the problem "Abort trap" problem.
On Tue, Jun 29, 2010 at 9:56 AM, Ranjit Chacko <rjc...@gm...> wrote:
> I just recompiled freetype-2.4.12 and checked the version of
> /usr/local/lib/libfreetype.6.dylib with otool -l:
> Load command 3
> cmd LC_ID_DYLIB
> cmdsize 64
> name /usr/local/lib/libfreetype.6.dylib (offset 24)
> time stamp 1 Wed Dec 31 16:00:01 1969
> current version 11.0.0
> compatibility version 11.0.0
>
> And I checked matplotlib's ft2font.so with otool -L:
>
> ft2font.so:
> /usr/local/lib/libfreetype.6.dylib (compatibility version 11.0.0,
> current version 11.0.0)
> /usr/local/lib/libz.1.dylib (compatibility version 1.0.0, current
> version 1.2.5)
> /usr/lib/libstdc++.6.dylib (compatibility version 7.0.0, current
> version 7.9.0)
> /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current
> version 125.2.0)
> /usr/local/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current
> version 1.0.0)
>
> And now that they match I get "Abort trap" on loading matplotlib.pyplot and
> it looks as if ft2font.so has something to do with it:
>
>
> Thread 0 Crashed: Dispatch queue: com.apple.main-thread
> 0 libSystem.B.dylib 0x00007fff84a893d6 __kill + 10
> 1 libSystem.B.dylib 0x00007fff84b29972 abort + 83
> 2 libgcc_s.1.dylib 0x0000000100487d51 uw_init_context_1
> + 385
> 3 libgcc_s.1.dylib 0x00000001004884cc _Unwind_Resume +
> 76
> 4 ft2font.so 0x00000001017b046d
> FT2Font::FT2Font(std::string) + 4269 (Extensions.hxx:629)
> 5 ft2font.so 0x00000001017b0af8
> ft2font_module::new_ft2font(
> Py::Tuple const&) + 408 (ft2font.cpp:1728)
> 6 ft2font.so 0x00000001017b3d52
> Py::ExtensionModule<ft2font_module>::invoke_method_varargs(std::string
> const&, Py::Tuple const&) + 162 (Extensions.hxx:422)
> 7 ft2font.so 0x00000001017c25a0
> method_varargs_call_handler + 512
>
> It looks like the sage developers encountered this problem and this is how
> they fixed it:
> http://trac.sagemath.org/sage_trac/ticket/7022
>
> All it does is take the plane vanilla matplotlib-0.99.1.spkg spkg and add a
> little script that simply rebuilds f2font.so again using *exactly* the same
> command lines used by distutils to build that extension. That's it. For some
> reason -- probably involving environment variables (?) -- this fixes the
> problem. I consider this a temporary 1-sage release solution until the
> matplotlib developers (or me) come up with a real fix.
>
> How do I rebuild f2font.so?
>
>
>
>>
>>

I just recompiled freetype-2.4.12 and checked the version of
/usr/local/lib/libfreetype.6.dylib with otool -l:
Load command 3
 cmd LC_ID_DYLIB
 cmdsize 64
 name /usr/local/lib/libfreetype.6.dylib (offset 24)
 time stamp 1 Wed Dec 31 16:00:01 1969
 current version 11.0.0
compatibility version 11.0.0
And I checked matplotlib's ft2font.so with otool -L:
ft2font.so:
 /usr/local/lib/libfreetype.6.dylib (compatibility version 11.0.0,
current version 11.0.0)
 /usr/local/lib/libz.1.dylib (compatibility version 1.0.0, current
version 1.2.5)
 /usr/lib/libstdc++.6.dylib (compatibility version 7.0.0, current version
7.9.0)
 /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version
125.2.0)
 /usr/local/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current
version 1.0.0)
And now that they match I get "Abort trap" on loading matplotlib.pyplot and
it looks as if ft2font.so has something to do with it:
Thread 0 Crashed: Dispatch queue: com.apple.main-thread
0 libSystem.B.dylib 0x00007fff84a893d6 __kill + 10
1 libSystem.B.dylib 0x00007fff84b29972 abort + 83
2 libgcc_s.1.dylib 0x0000000100487d51 uw_init_context_1 +
385
3 libgcc_s.1.dylib 0x00000001004884cc _Unwind_Resume + 76
4 ft2font.so 0x00000001017b046d
FT2Font::FT2Font(std::string) + 4269 (Extensions.hxx:629)
5 ft2font.so 0x00000001017b0af8
ft2font_module::new_ft2font(
Py::Tuple const&) + 408 (ft2font.cpp:1728)
6 ft2font.so 0x00000001017b3d52
Py::ExtensionModule<ft2font_module>::invoke_method_varargs(std::string
const&, Py::Tuple const&) + 162 (Extensions.hxx:422)
7 ft2font.so 0x00000001017c25a0
method_varargs_call_handler + 512
It looks like the sage developers encountered this problem and this is how
they fixed it:
http://trac.sagemath.org/sage_trac/ticket/7022
All it does is take the plane vanilla matplotlib-0.99.1.spkg spkg and add a
little script that simply rebuilds f2font.so again using *exactly* the same
command lines used by distutils to build that extension. That's it. For some
reason -- probably involving environment variables (?) -- this fixes the
problem. I consider this a temporary 1-sage release solution until the
matplotlib developers (or me) come up with a real fix.
How do I rebuild f2font.so?
>
>

Hi all,
I am trying to change the labels of minor ticks, but leave the labels of the major ticks unchanged. To do this, I use the following function:
ax = plt.subplot(111)
ax.set_xticks([1,3,5])
ax.set_xticks([2,4], minor=True)
ax.set_xticklabels(["a", "b"], minor=True)
However, in result of the function both minor and major tick labels are changes. I checked the source code of XAxis.set_ticklabels and it contains following lines:
axis.py: lines 1335-1342
 if minor:
 self.set_minor_formatter(mticker.FixedFormatter(ticklabels))
 ticks = self.get_minor_ticks()
 else:
 self.set_major_formatter( mticker.FixedFormatter(ticklabels) )
 ticks = self.get_major_ticks()
 self.set_major_formatter( mticker.FixedFormatter(ticklabels) )
Note that the last lines sets the major tick formatter regardless of the "minor" argument. Is it intentional behaviour?
Yours,
Bartosz

Hello,
I finally found the solution. It's as simple as:
figure();
imshow(img);
pylab.quiver(U, V, units='x');
Mathieu

hi there,
I've got a bit stuck with running matplotlib in interactive mode. maybe
what I want to do can't be done easily.
want I want is a simple python script which I can run with a file argument. 
this will then create some plots. the script will wait for user input (via
sys.stdin.readline()), use the input to adjust a threshold and replot my
plots. after the user is satisfied with the thresholds the script exit the
loop and will perform other processing. Basically I'm trying to get a
simple interactive program with plots but without having use wxpython or
simliar
I have been trying to test the potting part of this.
I have successfully set interactive mode on and from the python interpreter
I can plot and I see my plots and updates to them without needing to use
pyplot.show().
when I run the same scripts by using 'python scriptname.py' I don't see the
plots unless I use pyplot.show().
my simple test script is as follows
############
#test interactive matplotlib plotting
import numpy as np
import sys
import matplotlib.pylab as pyp
a=np.array([0,4,5,5,3,4,5])
pyp.figure()
pyp.plot(a)
#pyp.show()
input=sys.stdin.readline()
pyp.xlabel('my xlabel %s' %input)
input=sys.stdin.readline()
any help much appreciated
-- 
View this message in context: http://old.nabble.com/matplotlib-in-interactive-mode-from-a-script-tp29023641p29023641.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

On Fri, Jun 11, 2010 at 8:49 PM, Eric Firing <ef...@ha...> wrote:
>> Do you have access to Sun SPARC hardware? If not, I can almost certainly arrange
>> access to a Sun T5240 (16 core) at the University of Washington for a serious
>> matplotlib developer.
>
> Dave,
>
> Thanks, but much as I would like to see this problem solved, I don't
> really want to get sucked into it. I haven't messed with Suns for many
> years, and I am not eager to resume.
>
> Did you compile the previous version of matplotlib that you used on your
> machine, or did someone else there do it?
>
> Have you looked at the Cookbook entry?
> http://www.scipy.org/Cookbook/Matplotlib/CompilingMatPlotLibOnSolaris10
This issue is new and not related to the issue on the cookbook, I'm
pretty sure. I have the same problem on my box at work, and it was
introduced when I upgraded to CXX6. I have spent some time on it but
haven't found the fix yet. I guess it's my bug :-(
I've added it to the tracker:
https://sourceforge.net/tracker/?func=detail&aid=3022815&group_id=80706&atid=560720

Hi Friedrich,
thanks a lot, that was exactly what I was looking for...
Alex
On Mon, Jun 28, 2010 at 23:00, Friedrich Romstedt <
fri...@gm...> wrote:
> 2010年6月28日 Alexander Dietz <ale...@go...>:
> > I have a plot, to which I am drawing a colorbar. The standard colorbar
> > ranges from the values -1 (blue) over 0 (green) to e.g. 1(red). So far so
> > good.
> > But now I want to change the colorbar that it shows only the colors
> between
> > 0 and 1. What I mean is: the colorbar should start at value 0 (with
> green)
> > and go to 1(red), and leave the original plot unchanged.
>
> Ah, it wasn't that easy (for me).
>
> Friedrich
>

Hello,
I'm playing with some image processing algorithm (HOG descriptor) and 
I'm a bit lost. I am a newbie in image processing (especially in python).
I have computed the vertical and horizontal gradients of an image 
(convolution with [-1, 0, 1] on the 0 and 1 axis respectively). After 
that I computed the gradient' magnitude (sqrt(horizontal_gradient**2 + 
vertical_gradient**2)) and orientation (arctan2(vertical_gradient, 
horizontal_gradient)).
Now I would like to display the original image with the gradient vector. 
The quiver() function allows to plot vector fields and it's pretty easy 
to convert the gradient' magnitude and orientation into U and V (U 
=grad_mag*cos(grad_orientation), V = grad_mag*sin(grad_orientation)) but 
I cannot figure out how to display the image and the gradient with the 
right orientation.
Can anyone help?
Thanks in advance,
Mathieu

2010年6月29日 Ranjit Chacko <rjc...@gm...>:
> I tried again by compiling version 2.4.11 of freetype instead of the latest
> and recompiling matplotlib with that and now I get the following less severe
> error:
>  Reason: Incompatible library version: ft2font.so requires version 11.0.0
> or later, but libfreetype.6.dylib provides version 10.0.0
Hmm, I'm using freetype 2.3.12 and yesterday it compiled fine with
this. It guess it has some very simple reason, maybe you forgot to
remove the old compilation result or something like this? :-) Good
luck,
Friedrich

I tried again by compiling version 2.4.11 of freetype instead of the latest
and recompiling matplotlib with that and now I get the following less severe
error:
Traceback (most recent call last):
 File "<stdin>", line 1, in <module>
 File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/pyplot.py",
line 6, in <module>
 from matplotlib.figure import Figure, figaspect
 File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/figure.py",
line 18, in <module>
 from axes import Axes, SubplotBase, subplot_class_factory
 File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/axes.py",
line 12, in <module>
 import matplotlib.axis as maxis
 File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/axis.py",
line 10, in <module>
 import matplotlib.font_manager as font_manager
 File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/font_manager.py",
line 52, in <module>
 from matplotlib import ft2font
ImportError:
dlopen(/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/ft2font.so,
2): Library not loaded: /usr/local/lib/libfreetype.6.dylib
 Referenced from:
/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/ft2font.so
 Reason: Incompatible library version: ft2font.so requires version 11.0.0
or later, but libfreetype.6.dylib provides version 10.0.0
On Mon, Jun 28, 2010 at 5:43 PM, Ranjit Chacko <rjc...@gm...> wrote:
> I've been having some trouble with compiling matplotlib on Snow Leopard. I
> managed to get rid of all my old problems by recompiling everything with
> gcc-4.2.
>
> But now when I import matplotlib.pyplot I get an Abort trap message and
> python quits. Here is part of the error message I get:
>
> Thread 0 Crashed: Dispatch queue: com.apple.main-thread
> 0 libSystem.B.dylib 0x00007fff84a893d6 __kill + 10
> 1 libSystem.B.dylib 0x00007fff84b29972 abort + 83
> 2 libgcc_s.1.dylib 0x0000000100487d51 uw_init_context_1
> + 385
> 3 libgcc_s.1.dylib 0x00000001004884cc _Unwind_Resume +
> 76
> 4 ft2font.so 0x00000001017b046d
> FT2Font::FT2Font(std::string) + 4269 (Extensions.hxx:629)
> 5 ft2font.so 0x00000001017b0af8
> ft2font_module::new_ft2font(Py::Tuple const&) + 408 (ft2font.cpp:1728)
> 6 ft2font.so 0x00000001017b3d52
> Py::ExtensionModule<ft2font_module>::invoke_method_varargs(std::string
> const&, Py::Tuple const&) + 162 (Extensions.hxx:422)
> 7 ft2font.so 0x00000001017c25a0
> method_varargs_call_handler + 512
>
> It seems like freetype is the problem and from a little googling I see that
> the sage developers also had a problem with this. Does anyone know how to
> fix this?
>
> Thanks,
>
> -Ranjit
>
>

I've been having some trouble with compiling matplotlib on Snow Leopard. I
managed to get rid of all my old problems by recompiling everything with
gcc-4.2.
But now when I import matplotlib.pyplot I get an Abort trap message and
python quits. Here is part of the error message I get:
Thread 0 Crashed: Dispatch queue: com.apple.main-thread
0 libSystem.B.dylib 0x00007fff84a893d6 __kill + 10
1 libSystem.B.dylib 0x00007fff84b29972 abort + 83
2 libgcc_s.1.dylib 0x0000000100487d51 uw_init_context_1 +
385
3 libgcc_s.1.dylib 0x00000001004884cc _Unwind_Resume + 76
4 ft2font.so 0x00000001017b046d
FT2Font::FT2Font(std::string) + 4269 (Extensions.hxx:629)
5 ft2font.so 0x00000001017b0af8
ft2font_module::new_ft2font(Py::Tuple const&) + 408 (ft2font.cpp:1728)
6 ft2font.so 0x00000001017b3d52
Py::ExtensionModule<ft2font_module>::invoke_method_varargs(std::string
const&, Py::Tuple const&) + 162 (Extensions.hxx:422)
7 ft2font.so 0x00000001017c25a0
method_varargs_call_handler + 512
It seems like freetype is the problem and from a little googling I see that
the sage developers also had a problem with this. Does anyone know how to
fix this?
Thanks,
-Ranjit

2010年6月28日 Alexander Dietz <ale...@go...>:
> I have a plot, to which I am drawing a colorbar. The standard colorbar
> ranges from the values -1 (blue) over 0 (green) to e.g. 1(red). So far so
> good.
> But now I want to change the colorbar that it shows only the colors between
> 0 and 1. What I mean is: the colorbar should start at value 0 (with green)
> and go to 1(red), and leave the original plot unchanged.
Ah, it wasn't that easy (for me).
Friedrich

It didn't work. But I may have misunderstood your instructions.
Here's the output from compiling matplotlib:
http://pastebin.org/363870
Here's what I did.
Set export CC=gcc-4.2
Set export MACOSX_DEPLOYMENT_TARGET=10.5
Downloaded and compiled libpng-1.4.3
Downloaded and compiled libfreetype-2.3.12
Downloaded matplotlib-0.99.3
Modified src/_png.cpp in matplotlib
Replaced setupext.py with your version.
sudo python setup.py build
sudo python setup.py install
Any obvious mistakes?
Thanks again for your help,
-Ranjit
On Mon, Jun 28, 2010 at 1:05 PM, Friedrich Romstedt <
fri...@gm...> wrote:
> 2010年6月28日 Ranjit Chacko <rjc...@gm...>:
> > I just tried compiling with the following command:
> > sudo make -f make.osx fetch deps mpl_build mpl_install
>
> I don't know, I saw now so many people running into trouble with
> make.osx, would you, as a test case, please apply the following steps
> to your installation:
>
> First, I see that the freetype is linked in statically, but still it
> cannot be loaded on startup time (this _something_foobar symbol seems
> the first one it attemts to load). I remember that make.osx is
> intended for binary distributable generation, and therefore it links
> statically.
>
> I want to propose a different solution here.
>
> Would you please modify first your matplotlib setupext.py in the
> following way. We'll attemt a build without make.osx and fetch etc.,
> but a real distutil build with dynamic linking :-) !:
>
> On the line with 'darwin' : [], add:
>
> 'darwin' : ['/usr/local'],
>
> and maybe also '/usr/X11/lib' or '/usr/X11' and let the /lib suffix
> alone, but I think as you installed pkg-config, it could maybe work
> also out of the box. For me, I were not aware of pkg-config for OS X,
> so I still don't have it :-). If you are not sure, simply try to run
> pkg-config in the console, by tab expansion, if it finds it, it's
> installed.
>
> I also attach the modified files for your convenience, but you should
> use diff because I built that time 0.99.1.2, and something may have
> changed by that.
>
> Then, please compile (if you did not already do that), libpng 1.4 (not
> 1.2!) and libfreetype2 from the official sources. Always use the
> following environment variables:
>
> export CC=gcc-4.2
> (To not use 4.0 occasionally)
> export MACOSX_DEPLOYMENT_TARGET=10.5
> (To avoid certain warnings which are quite annoying during build. If
> you attemt to use py2app for deployment on 10.3 or 10.4 you should
> modify of course.)
>
> It is important that you compile *all* your software which is
> incorporated with the same variables. Well, at least I by accident
> one time set _TARGET to another value after ./configure, and it
> refused to compile then. So, feel free to experiment, but please
> document properly and, most important, tell us the results! I'm still
> in the ascending branch of my OS X learning curve.
>
> Maybe now it's the right moment to compile Python (1.6.5, I think not
> 1.7) and then numpy again with this settings. For Python, use
>
> ./configure --enable-framework
>
> Then compile libfreetype2. Compile libpng 1.4 or whatever.
>
> Now it's time to compile matplotlib itself. Just use the usual flags,
> and, for me, it worked like a charm. But one modification has to be
> made: matplotlib isn't compatible with libpng 1.4 from the beginning,
> please add the following lines to src/_png.cpp:
>
> #define png_infopp_NULL (png_infopp)NULL
> #define int_p_NULL (int*)NULL
>
> Somewhere before the actual code, it doesn't matter where, but after
> the #include <png.cpp> of course. I also attach the file, same
> applies, run diff before. It's my obligation to provide a proper
> matplotlib patch for this issue, but for now please patch by hand.
>
> There are several reasons why to compile Python yourself: It will use
> the new Tcl/Tk, which is much more beautiful than the old one. It
> will compile with the compatible flags. Well that's it I think. If
> you intend to use PIL btw, you have to compile Python yourself.
>
> Now you should be done. If you run into some problems, please tell us.
>
> Friedrich
>