http://blog.gmane.org/gmane.comp.python.matplotlib.general hourly 1 1901-01-01T00:00+00:00 http://gmane.org/img/gmane-25t.png http://gmane.org http://comments.gmane.org/gmane.comp.python.matplotlib.general/30663 <pre>Is there a simple way to essentially invert the default plotting color scheme so that the figure background is black and all text, ticks, axes, axis labels, etc are white? I think what I want is to redefine the RGB definitions of the standard color values 'b', 'y', 'k', etc so that I can make a plot figure with a black background using the same script as one for the normal white background. A spent a little while googling and didn't find anything apart from specifically setting different colors for every single plot element. This would be tiresome. Thanks in advance for any help, Tom ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ </pre> Tom Aldcroft 2012-05-25T20:07:50 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30656 <pre>Dear All, I used to use griddata in order to make my contourmaps. However, after I updated my Python from 2.6 to 2.7 griddata is not working anymore. I tried some workarounds but no success. The countourmap that I produced before is here. http://dl.dropbox.com/u/17983476/matplotlib/contour_dT_workingbefore.png After the Python 2.7 update, it turns to the following. http://dl.dropbox.com/u/17983476/matplotlib/contour_dT_broken.png Here is the datafile. http://dl.dropbox.com/u/17983476/matplotlib/contour_dT.dat And the associated python script (which is also below). http://dl.dropbox.com/u/17983476/matplotlib/contour_dT.py The code that I was using before is here. I had to comment out #import griddata line because this is the only way that it continues. Is this a bug in griddata, or if there are new workarounds, I would be glad to know a new method to produce my contourplots again. Thanks a lot ---------------------------- #! /usr/bin python import os import sys import math from math import * from numpy import * #import griddata from pylab import * from matplotlib.ticker import FormatStrFormatter params = {'axes.labelsize': 20, 'text.fontsize': 15, 'legend.fontsize': 14, 'xtick.labelsize': 20, 'ytick.labelsize': 20, 'text.usetex': True } rcParams.update(params) par1 = [] par2 = [] chis = [] rfile = file('contour_dT.dat','r') line = rfile.readline() data = line.split() while len(data) &gt;1: par1.append(float(data[0])) par2.append(float(data[1])) chis.append(float(data[2])) line = rfile.readline() data = line.split() par1 = array(par1) par2 = array(par2) chis = array(chis) xi = linspace(3.2,7.8,50) yi = linspace(15,300,50) zi = griddata(par2,par1,chis,xi,yi) levels = [0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.2,1.5,2,3,4,6,10,12,15,20,25,30,40,50] CS = contourf(xi,yi,zi,levels,cmap=cm.jet) CS2 = contour(CS, levels=CS.levels[::2], colors = 'r', hold='on') cbar = colorbar(CS) cbar.add_lines(CS2) savefig("contour_dT.png") show() ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ </pre> Umut Yildiz 2012-05-24T19:10:50 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30655 <pre>Hi, I want to add a QT4 widget to a matplotlib figure, but the widget does not react to user input. Here it is a test case: from PyQt4 import QtGui, QtCore from pylab import * def test(): plot([1,2,3], lw=2) qt4_interface(gcf()) class qt4_interface: def __init__(self,fig): QMainWin = fig.canvas.parent() toolbar = QtGui.QToolBar(QMainWin) QMainWin.addToolBar(QtCore.Qt.BottomToolBarArea, toolbar) self.line_edit = QtGui.QLineEdit(parent=toolbar) self.line_edit.editingFinished.connect(self.do_something) toolbar.addWidget(self.line_edit) def do_something(self, *args): f = open('l','a'); f.write('yes\n'); f.flush(); f.close() #close() I run the script as "run -i qt4_test.py" from ipython. Then running test() I get the figure with the additional widget but the do_something method is never called. Incidentally if I do a plot from ipython and then I type interactively qt4_interface(gcf()), the qt4 widget is added to the figure and works properly. Any hints on how can I resolve this problem? BTW, I'm running matplotlib official package (1.0.1) included in ubuntu 11.10. Thanks, Antonio ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/_______________________________________________ Matplotlib-users mailing list Matplotlib-users-5NWGOfrQmneRv+LV9MX5uipxlwaOVQ5f&lt; at &gt;public.gmane.org https://lists.sourceforge.net/lists/listinfo/matplotlib-users </pre> AI 2012-05-24T19:03:32 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30650 <pre>Just got bit by this and I thought I'd share to help others. I was just quickly writing out some pyplot commands to create two subplots to compare some results. I did: plt.subplots(1, 2, 1) plt.contourf(....) plt.title("Contours") xlim = plt.xlim() ylim = plt.ylim() plt.subplots(1, 2, 2) plt.imshow(....) plt.title("Raw Image") plt.xlim(xlim) plt.ylim(ylim) Did you see the error? I did "subplots" instead of "subplot". Since the third argument for plt.subplot is "sharex", a value of 1 or 2 appears perfectly valid to it. Meanwhile, the second call to plt.subplots() throws out my first subplot, and I also get the seemingly odd behavior of the first subplot having the correct x limits, but the default y limits (0, 1). Of course, this makes sense once you figure out the issue, but it is an extra wrinkle that can be quite confusing. I suspect this is a very easy mistake to make. Should we perhaps test the value of sharex in subplots() and warn if it is anything but a python bool? Just a thought. Cheers! Ben Root ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/_______________________________________________ Matplotlib-users mailing list Matplotlib-users-5NWGOfrQmneRv+LV9MX5uipxlwaOVQ5f&lt; at &gt;public.gmane.org https://lists.sourceforge.net/lists/listinfo/matplotlib-users </pre> Benjamin Root 2012-05-24T13:54:55 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30647 <pre>http://paulaslominska.cba.pl/lnjysgcpta/395506.html------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/_______________________________________________ Matplotlib-users mailing list Matplotlib-users-5NWGOfrQmneRv+LV9MX5uipxlwaOVQ5f&lt; at &gt;public.gmane.org https://lists.sourceforge.net/lists/listinfo/matplotlib-users </pre> Arek Kedzior 2012-05-24T04:03:14 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30640 <pre>Dear all, I have two different monitors. How can I use plot command within terminal in this monitor and set the figure to show defaultly in another one? thanks, Chao </pre> Chao YUE 2012-05-23T14:32:39 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30635 <pre>Hi, Anyone know how to solve this error? Exception Type: TypeError Exception Value: coercing to Unicode: need string or buffer, dict found Can you help me?? See mycode: http://dpaste.com/751460/ And see my Traceback: http://dpaste.com/750773/ Thanks, ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/_______________________________________________ Matplotlib-users mailing list Matplotlib-users-5NWGOfrQmneRv+LV9MX5uipxlwaOVQ5f&lt; at &gt;public.gmane.org https://lists.sourceforge.net/lists/listinfo/matplotlib-users </pre> Waléria Antunes David 2012-05-23T12:16:09 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30632 <pre>Hi, I have attached a small example displaying a simple plot in a PyQt based widget. If you start resizing the widget manually, the labels of the axes as well as the title disappear from the plot window even for moderately small window sizes. Any suggestions on how I can fix this? Best regards, Mads </pre> Mads Ipsen 2012-05-23T08:58:47 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30631 <pre>Hi, I'm following the example in the gallery to do a barchart plot (see http://matplotlib.sourceforge.net/examples/api/barchart_demo.html ). In contrast to the example I would like to see the error bars only above the bars, so I tried rects2 = ax.bar(ind+width, womenMeans, width, color='y', yerr=stds, error_kw = {'barsabove': True, 'ecolor' : 'k'} While the 'ecolor' argument gets accepted, 'barsabove' apparently has no effect (error bars still point up and downwards) - yet, no warning / error is triggered. Where is my mistake? Or is this a bug (still using version 1.0.1) with a known work-around? TIA Chris ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ </pre> Meesters, Aesku.Kipp Institute 2012-05-23T08:03:59 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30630 <pre>I'm plotting several images at once, sharing axes, because I use it for exploratory purposes. Each image is the same satellite image at different dates. I'm experimenting a slow response from matplotlib when zooming and panning, and I would like to ask for any tips that could speed up the process. What I am doing now is: - Load data from several netcdf files. - Calculate maximum value of all the data, for normalization. - Create a grid of subplots using ImageGrid. As each subplot is generated, I delete the array to free some memory (each array is stored in a list, the "deletion" is just a list.pop()). See the code below. It's 15 images, single-channel, of 4600x3840 pixels each. I've noticed that the bottleneck is not the RAM (I have 8 GB), but the processor. Python spikes to 100% usage on one of the cores when zooming or panning (it's an Intel(R) Core(TM) i5-2500 CPU &lt; at &gt; 3.30GHz, 4 cores, 64 bit). The code is: ------------------------------------------- import os import sys import numpy as np import netCDF4 as ncdf import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import ImageGrid from matplotlib.colors import LogNorm MIN = 0.001 # Hardcoded minimum data value used in normalization variable = 'conc_chl' units = r'$mg/m^3$' data = [] dates = [] # Get a list of only netCDF files filelist = os.listdir(sys.argv[1]) filelist = [f for f in filelist if os.path.splitext(f)[1] == '.nc'] filelist.sort() filelist.reverse() # Load data and extract dates from filenames for f in filelist: dataset = ncdf.Dataset(os.path.join(sys.argv[1],f), 'r') data.append(dataset.variables[variable][:]) dataset.close() dates.append((f.split('_')[2][:-3],f.split('_')[1])) # Get the maximum value of all data. Will be used for normalization maxc = np.array(data).max() # Plot the grid of images + dates fig = plt.figure() grid = ImageGrid(fig, 111,\ nrows_ncols = (3, 5),\ axes_pad = 0.0,\ share_all=True,\ aspect = False,\ cbar_location = "right",\ cbar_mode = "single",\ cbar_size = '2.5%',\ ) for g in grid: v = data.pop() d = dates.pop() im = g.imshow(v, interpolation='none', norm=LogNorm(), vmin=MIN, vmax=maxc) g.text(0.01, 0.01, '-'.join(d), transform = g.transAxes) # Date on a corner cticks = np.logspace(np.log10(MIN), np.log10(maxc), 5) cbar = grid.cbar_axes[0].colorbar(im) cbar.ax.set_yticks(cticks) cbar.ax.set_yticklabels([str(np.round(t, 2)) for t in cticks]) cbar.set_label_text(units) # Fine-tune figure; make subplots close to each other and hide x ticks for # all fig.subplots_adjust(left=0.02, bottom=0.02, right=0.95, top=0.98, hspace=0, wspace=0) grid.axes_llc.set_yticklabels([], visible=False) grid.axes_llc.set_xticklabels([], visible=False) plt.show() ------------------------------------------- Any clue about what could be improved to make it more responsive? PD: This question has been posted previously on Stackoverflow, but it hasn't got any answer: http://stackoverflow.com/questions/10635901/slow-imshow-when-zooming-or-panning-with-several-synced-subplots ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ </pre> Sergi Pons Freixes 2012-05-23T08:11:56 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30629 <pre> Dear All, I am trying to write a program in matplotlib to generate stacked bar graphs. My problem is that the commands - plt.show() and self.fig.savefig(fileName) generate different outputs. I tried different output formats like PDF, PNG, EPS. But the problem remains the same. This happens for the lines that I am trying to draw outside the plot. I am trying to draw vertical lines between xticklabels. I have uploaded the data file and the code file. http://old.nabble.com/file/p33893817/data.dat data.dat http://old.nabble.com/file/p33893817/matplot1.py matplot1.py Could anyone explain how to resolve this problem? Thank You, Raj </pre> rajtendulkar 2012-05-23T06:57:04 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30622 <pre>Hi All. I'm experiencing some memory issues with some python/matplotlib code. I have a large object/class containing a lot of data, and whilst using that object to create (about 30) graphs I keep running into memory errors. Here is a description of my problem: Firstly, I am able to create each graph individually. So if I run each graph creation function individually in the interpreter I get the desired result: MyClass.TypicalPlot(save=True, show = False) However, if I create a new function to run each graph function in a script then I get a "MemoryError: Could not allocate memory for path". (varies at the precise point where, but its normally after 3 or 4 graphs). I am able to run each plot function in an interpreter without issue, so I can only assume its some kind of memory/garbage collection issue. def saveAllPlots(self, comments = False): if self.comment is None: comment = False else: comment = True self.TypicalPlot(save=True, show=False, comment=comment) self.AnotherPlot(save=True, show=False) self.AnotherPlot2(save=True, show=False) self.AnotherPlot3(save=True, show=False) ...etc, etc, etc Here is what a typical plot function looks like in my code (they are all very similar) def TypicalPlot(self, title=None, comment=False, save=False, show=True): if title is None: title = self.dat.title fig = plt.figure() host = SubplotHost(fig, 111) fig.add_subplot(host) par = host.twinx() host.set_xlabel("Time (hrs)") host.set_ylabel("Power (W)") par.set_ylabel("Temperature (C)") p1, = host.plot(self.dat.timebase1, self.dat.pwr, 'b,', label="Power", markevery= self.skip) p2, = par.plot(self.dat.timebase2, self.dat.Temp1, 'r,', label="Temp 1", markevery= self.skip) p3, = par.plot(self.dat.timebase2, self.dat.Temp2, 'g,', label="Temp 2", markevery= self.skip) p4, = par.plot(self.dat.timebase2, self.dat.Temp3, 'm,', label="Temp 3", markevery= self.skip) host.axis["left"].label.set_color(p1.get_color()) # par.axis["right"].label.set_color(p2.get_color()) #host.legend(loc='lower left') plt.title(title+" Temperature") leg=host.legend(loc='lower left',fancybox=True) #leg.get_frame().set_alpha(0.5) frame = leg.get_frame() frame.set_facecolor('0.80') ### make the legend text smaller for t in leg.get_texts(): t.set_fontsize('small') ### set the legend text color to the same color as the plots for added ### readability leg.get_texts()[0].set_color(p1.get_color()) leg.get_texts()[1].set_color(p2.get_color()) leg.get_texts()[2].set_color(p3.get_color()) leg.get_texts()[3].set_color(p4.get_color()) if show is True and save is True: plt.show() plt.savefig('temp.png') elif show is True and save is False: plt.show() elif show is False and save is True: plt.savefig('temp.png') plt.clf() plt.close(fig) Has anyone come across this before? Regards, Sam Stevenson ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/_______________________________________________ Matplotlib-users mailing list Matplotlib-users-5NWGOfrQmneRv+LV9MX5uipxlwaOVQ5f&lt; at &gt;public.gmane.org https://lists.sourceforge.net/lists/listinfo/matplotlib-users </pre> Stevenson, Samuel 2012-05-22T08:10:05 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30619 <pre>Hi everybody. I have been trying to turn off xticks and yticks and their labels in matplotlibrc. Ticks &lt;http://matplotlib.sourceforge.net/api/axis_api.html#matplotlib.axis.Tick&gt; have an argument "tick1On" and "label1On" but it seems I can not use these in the config file. Is that correct? Is there any other way to turn of ticks by default? Thanks, Andy ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/_______________________________________________ Matplotlib-users mailing list Matplotlib-users-5NWGOfrQmneRv+LV9MX5uipxlwaOVQ5f&lt; at &gt;public.gmane.org https://lists.sourceforge.net/lists/listinfo/matplotlib-users </pre> Andreas Mueller 2012-05-21T20:01:30 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30616 <pre>Greetings all, I am trying to place line labels on a plot similar to how contours in a contour plot are labeled (i.e. clabel). I have found that I can use ax.annotate but have to optimize by hand while the clabel for contours finds a "good" location without my having to find it. Is this feature available? Regards, Brian ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/_______________________________________________ Matplotlib-users mailing list Matplotlib-users-5NWGOfrQmneRv+LV9MX5uipxlwaOVQ5f&lt; at &gt;public.gmane.org https://lists.sourceforge.net/lists/listinfo/matplotlib-users </pre> Brian 2012-05-21T16:33:18 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30615 <pre> Hi all! I'm experiencing a strange behaviour with sankey diagram. As you can see from the attached image, the patch label it's not positioned in the middle of the patch (as it should), but it's plotted over the first label... The code is attached also. Any hints? Thanks, Giovanni------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/_______________________________________________ Matplotlib-users mailing list Matplotlib-users-5NWGOfrQmneRv+LV9MX5uipxlwaOVQ5f&lt; at &gt;public.gmane.org https://lists.sourceforge.net/lists/listinfo/matplotlib-users </pre> Giovanni 2012-05-21T15:39:22 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30614 <pre>Dear all, Is there a way to remove colorbar? axes.cla() clears only the region for map but not the colorbar. Chao </pre> Chao YUE 2012-05-21T12:17:05 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30612 <pre>Dear all, I have a question on how to change default figure dpi when try to save figure in interactive mode. I try to use mat.rcParams['figure.dpi']=300 before I plot, then the problem is that the figure which is drawn is too big for interactive check (maybe because of increase in dpi). the mat.rcParams['figure.figsize'] is still default [8,6]. The other option is that always use fig=gcf(); and fig.savefig('my_plot.jpg', dpi=300). I am suing 'Agg' backend on ubuntu system. thanks et cheers, Chao </pre> Chao YUE 2012-05-21T07:45:47 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30609 <pre>Hi, mpl is a great package. Thanks for the effort first! Recently I have tried to use latex to render all the texts in a plot for consistent look with other texts in a paper. However, it seems that all the texts in the plot are rendered in bold font. Please see the attached code. == #!/opt/local/bin/python from matplotlib.pyplot import * from matplotlib import rc rc('text', usetex=True) rc('font', family='serif') text(.1, .2, r'first $f(x,y)=x+y\ \mathrm{first}\ \mathbf{first}\ \textrm{first}\ \textnormal{first}$') xlabel(r'first $f(x,y)=x+y\ \mathrm{first}\ \mathbf{first}\ \textrm{first}\ \textnormal{first}$') savefig('test_tex.pdf', transparent=True) == The text in 1) normal environment (quoted in r'text'), 2) in \textrm{}, 3) \textnormal{} are the same with 4) \mathbf{}. The only way to produce with "normal" font is to put the text in \mathrm{}. The matplotlibrc is default or blank. I was able to reproduce the result with versions 1.1.0 and 1.1.1 on both linux and mac. And I couldn't find a quick fix from the internet. Furthermore, I found that the texts in the tutorial page http://matplotlib.sourceforge.net/users/usetex.html are also bolded: "TeX is Number ..." is thicker than the font in the following equation and the tics labels, whose "normal" font can be seen by putting them in \mathrm{}. It is quite annoying to have inconsistent font in the figure and the main texts. Could someone look into it? Thanks a million! A Spherical Chicken ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/_______________________________________________ Matplotlib-users mailing list Matplotlib-users-5NWGOfrQmneRv+LV9MX5uipxlwaOVQ5f&lt; at &gt;public.gmane.org https://lists.sourceforge.net/lists/listinfo/matplotlib-users </pre> Yang Zhang 2012-05-20T22:14:41 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30607 <pre>I was wondering whether this feature has been built-in via specgram (maybe needs a transformation) or if somebody has wrote something to easily implement. If not, the current best method of going about it as I don't see it in the documentation. Cheers, Jeff ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/_______________________________________________ Matplotlib-users mailing list Matplotlib-users-5NWGOfrQmneRv+LV9MX5uipxlwaOVQ5f&lt; at &gt;public.gmane.org https://lists.sourceforge.net/lists/listinfo/matplotlib-users </pre> Jeffrey Spencer 2012-05-20T06:43:01 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30602 <pre>Available for download at https://sourceforge.net/projects/matplotlib/files/matplotlib-toolkits/basemap-1.0.3/ Thanks to Christoph Gohlke for making windows installers. Highlights: - new 'round' keyword for polar-centric plots (see polarmaps.py example). - the coastline filling bug has now finally been (mostly) fixed (there are still probably some corner cases that trigger it). - coastline and political boundary databases updated. - examples now work in python 3 - added hexbin and streamplot methods. - added kav7 (Kavrayskiy VII) and eck4 (Eckert IV) projections. - UTM zones can now be plotted (see utmtest.py example). - many bug fixes. full Changelog: version 1.0.3 (git tag v1.0.3rel) -------------------------------- * fix some more python 3 compatibility issues (all examples now work with python 3.2). * added alpha keyword to fillcontinents (to set transparency). * update geos from 3.3.1 to 3.3.3. * upgrade proj4 source to version 4.8.0, pyproj to version 1.9.2. * add k_0 keyword for projection = 'tmerc' so UTM zones can be created. Also can be used with 'lcc','omerc' and 'stere'. Added "utmtest.py" example. * add streamplot method, along with streamplot_demo.py example. * add boundarylats, boundarylons Basemap attributes (arrays describing map boundaries - useful for illustrating map projection region on another map). Example illustrating usage (make_inset.py) added. * update coastlines, rivers, political boundaries to GSHHS 2.2.0/GMT 4.5.7. The fillcontinents bug (filling the outside instead of the inside of a coastline polygon) is now much harder to trigger. * add 'round' keyword keyword to Basemap.__init__ for pole-centered projections to make them round (clipped at boundinglat) instead of square. * added hexbin method, along with hexbin_demo.py example. * drawmapboundary now uses axes bgcolor as default fill_color. If no color fill wanted, set fill_color='none' (a string). * clip coastlines for nplaea,npaeqd,splaea,spaeqd in stereographic coordinates to avoid S. America disappearing in some south polar plots. * fix broken daynight terminator function. * added kav7 (Kavrayskiy VII) and eck4 (Eckert IV) projections (https://github.com/matplotlib/basemap/issues/9). * update pyproj source from pyproj.googlecode.com. Includes new more robust and accurate pure python code for geodesic computations from geographiclib. * bug fixes for celestial projections, and non-standard sphere radii (https://github.com/matplotlib/basemap/pull/6). * fix bug in drawparallels that results in 'KeyError' when drawing parallels very close together (0.1 degrees). * fix constant in Robinson projection (update PJ_robin.c from proj4 svn). * fix typo in setup.py (replace "!= ['sdist','clean']" with "not in ['sdist','clean']"). * make sure drawmeridians can handle wrap-around (so that if projection is defined in -180 to 0 and user asks for meridians from 180 to 360 to be drawn, it should work). Only affects projections 'mill','gall','merc' and 'cyl'. Regards, Jeff </pre> Jeff Whitaker 2012-05-18T20:46:19 http://comments.gmane.org/gmane.comp.python.matplotlib.general/30601 <pre>Any hints on how to visualize the density difference between two hexbin plot, each with x-y (2D) data? Each set has roughly 300,000 points. The range in x and y values for each data set are roughly similar but with slightly different density: range x,x1: -1.222 to 3.656 range y,y1: 13.191, 18.150 So the steps: (1) Produce the two hexbin maps: fig1=hexbin(c_b204_jmk,c_b204_k,C = None, gridsize = 100, bins = None, xscale = 'linear', yscale = 'linear', cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, edgecolors='none',reduce_C_function = np.mean, mincnt=None, marginals=False) fig2=hexbin(c_b211_jmk,c_b211_k,C = None, gridsize = 100, bins = None, xscale = 'linear', yscale = 'linear', cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, edgecolors='none',reduce_C_function = np.mean, mincnt=None, marginals=False) (2) Determine the difference in the hexbin counts, with diff_hex=fig2.get_array()-fig1.get_array() (3) BUT when i try to plot the diff hexbin map fig3=hexbin(c_b211_jmk,c_b211_k,C = diff_hex, gridsize = 100, bins = None, xscale = 'linear', yscale = 'linear', cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, edgecolors='none',reduce_C_function = np.mean, mincnt=None, marginals=False) I obviously get a: IndexError: index out of bounds Because: len(c_b211_jmk) = len(c_b211_k) != len(diff_hex), Since diff_hex are the binned counts. (4) Any simple way to get around this, to plot the hexbin difference counts on top of the the hexbin (c_b211_jmk,c_b211_k) distribution? thanks in advance &amp; with best regards, - Sebastian ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/_______________________________________________ Matplotlib-users mailing list Matplotlib-users-5NWGOfrQmneRv+LV9MX5uipxlwaOVQ5f&lt; at &gt;public.gmane.org https://lists.sourceforge.net/lists/listinfo/matplotlib-users </pre> Sebastian 2012-05-18T20:11:45 Search the mailing list at Gmane query http://search.gmane.org/?group=$group=gmane.comp.python.matplotlib.general