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Hi all, Does there already exist some python implementation (in MPL or other) of an easy-to-use 1D scale transformation? This is something analogous to processing's map function or protovis's scale functionality. It would work something like: s = linear().domain(5,100).range(13000,15000) or s = root(p=5).domain(0.1,0.6).range(0,1) There could be multiple versions, including linear, log, symlog, root (power), discrete, etc. Thanks! Uri ................................................................................... Uri Laserson Graduate Student, Biomedical Engineering Harvard-MIT Division of Health Sciences and Technology M +1 917 742 8019 las...@mi...
Ben, Sorry to take so long getting back. I found a solution. Perhaps not the best one but I discovered that using close() after a show() or save() worked for me. Stumbled across it a day or two after posting. Drew Benjamin Root-2 wrote: > > On Mon, Jan 3, 2011 at 11:36 AM, Drew Stokes <dre...@gm...> > wrote: > >> >> Hi, >> I'm very new to Matplotlib and python but I ma getting excellent results >> in >> what I am trying to achieve. That said I have come up against an issue I >> can't seem to find a resolution to and was wondering if someone here may >> be >> able to help out. >> >> I have a script that generates a number of plots. The first plot comes >> out >> fine but there seems to be a little hang over in regards to format or >> data >> into the following plots. I have alternated the script by putting each >> plot >> first and the same applies the first plot is fine the rest are ok but >> there >> are odd points plotted. I wonder if there is a method of flushing or >> clearing formats etc that I could use. Sorry if I'm getting terminology >> wrong this is all still rather new to me. >> >> Drew >> > > Drew, > > Do you have a very simple script that reproduces the issue you are > experiencing? From the script, we might be able to spot what is wrong. > > Ben Root > > ------------------------------------------------------------------------------ > Learn how Oracle Real Application Clusters (RAC) One Node allows customers > to consolidate database storage, standardize their database environment, > and, > should the need arise, upgrade to a full multi-node Oracle RAC database > without downtime or disruption > http://p.sf.net/sfu/oracle-sfdevnl > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- View this message in context: http://old.nabble.com/clearing-previous-format-changes-tp30579911p30676161.html Sent from the matplotlib - users mailing list archive at Nabble.com.
Ben, Sorry to take so long getting back. I found a solution. Perhaps not the best one but I discovered that using close() after a show() or save() worked for me. Stumbled across it a day or two after posting. Drew Benjamin Root-2 wrote: > > On Mon, Jan 3, 2011 at 11:36 AM, Drew Stokes <dre...@gm...> > wrote: > >> >> Hi, >> I'm very new to Matplotlib and python but I ma getting excellent results >> in >> what I am trying to achieve. That said I have come up against an issue I >> can't seem to find a resolution to and was wondering if someone here may >> be >> able to help out. >> >> I have a script that generates a number of plots. The first plot comes >> out >> fine but there seems to be a little hang over in regards to format or >> data >> into the following plots. I have alternated the script by putting each >> plot >> first and the same applies the first plot is fine the rest are ok but >> there >> are odd points plotted. I wonder if there is a method of flushing or >> clearing formats etc that I could use. Sorry if I'm getting terminology >> wrong this is all still rather new to me. >> >> Drew >> > > Drew, > > Do you have a very simple script that reproduces the issue you are > experiencing? From the script, we might be able to spot what is wrong. > > Ben Root > > ------------------------------------------------------------------------------ > Learn how Oracle Real Application Clusters (RAC) One Node allows customers > to consolidate database storage, standardize their database environment, > and, > should the need arise, upgrade to a full multi-node Oracle RAC database > without downtime or disruption > http://p.sf.net/sfu/oracle-sfdevnl > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- View this message in context: http://old.nabble.com/clearing-previous-format-changes-tp30579911p30676160.html Sent from the matplotlib - users mailing list archive at Nabble.com.
Hello everyone, I frequently use subscripts and superscripts in text on my plots, but I've noticed that the line and character spacing (kerning ?) is not always as I would expect. For most things, this is not a problem. However, I would occasionally like various text objects to line up with one another, and at these times, this spacing difference can become a issue. I guess I have a couple questions at this point... First, is this expected? Second, is there any (simple) way I can control the line and character spacing? I see there is a 'linespacing' keyword argument; however, this seems to be a multiplier relative to the total text height for each line not an absolute, fixed height of every line. For character spacing, is there a special symbol I could insert to add or removing spacing between characters? I'm using Matploblib 1.0.0 that ships with Python(x,y) for Windows. Below is a test script that highlights these differences (at least on my system). Any help or suggestions are most appreciated. (I don't know much TeX, so I appologize if these differences are obvious for those in the know.) Ryan import matplotlib.pyplot as plt plt.rc('font', size=25.0) plt.text(0.25, 0.25, 'X1Y2\nX1Y2\nX$_1$Y$_2$\nX$_{1}$Y$_{2}$\n$X_1Y_2$\n$X_{1}Y_{2}$') plt.text(0.75, 0.25, 'X1Y2\nX1Y2\nX$^1$Y$^2$\nX$^{1}$Y$^{2}$\n$X^1Y^2$\n$X^{1}Y^{2}$') plt.text(0.5, 0.25, 'X$_{1}$Y$_{2}$\nX$^{1}$Y$^{2}$\n$X_1Y_2$\n$X^1Y^2$') plt.show()
subplot(numRows, numCols, plotNum) On my local disk, the file: file:///usr/share/doc/python-matplotlib-doc/html/api/pyplot_api.html#matplotlib.pyplot.subplot contains: subplot(numRows, numCols, plotNum) where plotNum = 1 is the first plot number and increasing plotNums fill rows first. max(plotNum) == numRows * numCols and then, a little later: New subplots that overlap old will delete the old axes. However, that doc does not explain what a row or column is or what overlap means. Is there some way the figure is partitioned into rows and columns and the subplots appear in these rows and columns. If so, then how is this partition done? Does subplot(1,2,1) appear to the left and at same level as subplot(1,2,2)? What if there's subplot(1,2,1) and subplot(2,1,1). Do they overlap and if so, why? IOW, what's the definition of overlap? TIA. -regards, Larry
**update** matplotlib 1.0.0 setup worked on one but did not work on a second Mac OS X 10.6.6. The second one again failed with a missing dependency. It seems to depend on what previous packages may have been installed. The following seems to be a complete fix: 1. On Mac OS X 10.6.x (in my case...6) 2. Install Apple Xcode (requires registration as an Apple developer) 3. Install MacPorts http://www.macports.org/ 4. Check that all library dependencies for matplotlib in Python 2.6 have been satisfied by first running (with Administrator privileges): sudo port install py26-matplotlib (this will use MacPorts script to install matplotlib 1.0.0) 5. (optional) you can reinstall now matplotlib from http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0/matplotlib-1.0.0.tar.gz/download **now** it works :-) PS note to matplotlib developers. The above may suggest that matplotlib may have a dependency that is not present on a virgin OSX Xcode machine but which is incidentally installed by some other package usually present on a developer's machine and so whose absence is not noticed when preparing the installation script. On 16/01/2011, at 10:22 AM, Leslie Burnett wrote: > Thank you. You are correct. The matplotlib version 1.0.0 works for me too! > > I will post this reply so that others can be aware that the problem seems to be only with matplotlib version 1.0.1. > The previous version matplotlib 1.0.0 works ok with Mac OS X 10.6.6 Snow Leopard and Apple Python 2.6.1 > > On 15/01/2011, at 11:04 PM, Kurt Mueller wrote: > >> >> Am 15.01.2011 um 12:07 schrieb Leslie Burnett: >>> My apologies if this question is a bit simple, but I am new to Python, but I think I've done all the RTFM things and still hit a brick wall. I can see from Google that I am not the first to strike this problem, but no solutions seem to be posted. >>> I am trying to install matplotlib on a Mac OSX 10.6 (Snow Leopard)(OS fully up to date). >>> When I try to install, I get the error message: >>>> lipo: can't open input file: /var/tmp//cctV2zuc.out (No such file or directory) >>>> error: Setup script exited with error: command 'gcc-4.2' failed with exit status 1 >> >> >> On a fully updated Mac OSX 10.6.6 the installation of >> http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0/matplotlib-1.0.0.tar.gz/download >> did work for me. >> >> -- >> kur...@gm... >> >