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Zane Selvans wrote: > > On Oct 9, 2008, at 12:55 PM, John Hunter wrote: > >> On Thu, Oct 9, 2008 at 2:40 PM, Zane Selvans <za...@id... >> <mailto:za...@id...>> wrote: >> >>> I too often feel like I'm just hacking my way >>> around in Matplotlib, without understanding how it is actually >>> "supposed" to be used (i.e. how it was designed to work). Is there an >>> architectural overview floating around somewhere that I'm not aware of? >> >> Check out http://matplotlib.sourceforge.net/doc/html/users/artists.html > > That's just what I was looking for. > > However, unfortunately there appears to be some problem with the > generation of the figures which are supposed to be embedded within that > documentation - they're all appearing as nothing but blank white spaces, > both in Firefox 3.0.3 on OS X 10.5.5, and when I download the files and > view them with other programs. Do other people see this problem? Yes, something is broken. I don't know how to fix it, though. Eric > > Thanks again, > Zane > > -- > Zane Selvans > Amateur Earthling > za...@id... <mailto:za...@id...> > 303/815-6866 > http://zaneselvans.org > PGP Key: 55E0815F > > > > > > > > ------------------------------------------------------------------------ > > ------------------------------------------------------------------------- > This SF.Net email is sponsored by the Moblin Your Move Developer's challenge > Build the coolest Linux based applications with Moblin SDK & win great prizes > Grand prize is a trip for two to an Open Source event anywhere in the world > http://moblin-contest.org/redirect.php?banner_id=100&url=/ > > > ------------------------------------------------------------------------ > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Goyo wrote: > El dom, 12-10-2008 a las 13:22 -1000, Eric Firing escribió: >> Goyo wrote: >>> Hi all, >>> >>> I'm plotting time series and using a custom format for x tick labels >>> because I want to see both date and time. But calling xlim makes the >>> default format return -- only dates or only times, it depends on the >>> displayed interval. >>> >>> I can get my preferred format back by calling set_major_formatter again, >>> but this is inconvenient for interactive use. >>> >>> I wonder if there is a better way for changing x limits while keeping >>> tick labels format unchanged. >>> >>> I'm using matplotlib 0.98.3 >>> >>> Thanks >>> >>> Goyo >>> >>> >>> Sample code -- you need a combination of python shell and matplotlib GUI >>> which allows for interactive use in order to get this working as >>> expected: >>> >>> ---------------------------------------- >>> >>> from matplotlib import pyplot >>> from matplotlib import dates >>> from datetime import datetime, timedelta >>> from numpy import random >>> >>> pyplot.ion() >>> >>> # create data >>> dstart = datetime(2008, 1, 1, 0, 0) >>> dend = datetime(2008, 1, 5, 23, 50) >>> delta = timedelta(minutes=10) >>> x = dates.drange(dstart, dend, delta) >>> y = random.random_sample(len(x)) >>> >>> # plot data >>> pyplot.plot(x, y) >>> >>> # format x tick labels >>> axis = pyplot.gca() >>> fig = pyplot.gcf() >>> axis.xaxis.set_major_formatter(dates.DateFormatter('%Y-%b-%d %H:%M')) >>> fig.autofmt_xdate() >>> >>> # draw the figure >>> pyplot.draw() >>> >>> -------------------------------------- >>> >>> Look at the tick labels, they show both date and time even if you zoom >>> and pan using the GUI. >>> >>> Now if I want to look at the second day: >>> >>> dstart = datetime(2008, 1, 1, 0, 0) >>> dend = datetime(2008, 1, 1, 23, 50) >>> pyplot.xlim(dstart, dend) >>> >>> And the format has changed. >> I don't see this problem using ipython -pylab with mpl from svn on >> linux, gtkagg backend. What version, backend, and platform are you using? > > matplotlib 0.98.3-3ubuntu1~ppa1 from Benjamin Drung's ppa > (<http://ppa.launchpad.net/bdrung/ubuntu>) on Ubuntu Hardy. > > It was the standard python shell and TKAgg, but I get the same result > with ipython -pylab and GTKAgg. Indeed the format change can be > "documented": > > print axis.xaxis.get_major_formatter() > pyplot.xlim(dstart, dend) > print axis.xaxis.get_major_formatter() > > The first print: > <matplotlib.dates.DateFormatter instance at 0xb6e2462c> > and the second: > <matplotlib.dates.AutoDateFormatter instance at 0x884dc4c> > > I did some debugging and realized that xaxis.units is None after > plotting, so xlim triggers a call to xaxis.set_units which sets the > default formatter (and units, whatever it means). > > If I set my formatter again, xaxis.units is not None anymore but still > xaxis._update_axisinfo sets the default formatter. > > Anyway I worked around this by writing my own version of xlim which > first saves the formatter, then sets xlim and sets the saved formatter > again. > > Goyo > I know some work was done on units support since 0.98.3; given that I am not seeing the problem when I try your original example with svn mpl, I hope and suspect that this problem has in fact already been solved. Eric
On Oct 9, 2008, at 12:55 PM, John Hunter wrote: > On Thu, Oct 9, 2008 at 2:40 PM, Zane Selvans <za...@id...> > wrote: > >> I too often feel like I'm just hacking my way >> around in Matplotlib, without understanding how it is actually >> "supposed" to be used (i.e. how it was designed to work). Is there >> an >> architectural overview floating around somewhere that I'm not aware >> of? > > Check out http://matplotlib.sourceforge.net/doc/html/users/ > artists.html That's just what I was looking for. However, unfortunately there appears to be some problem with the generation of the figures which are supposed to be embedded within that documentation - they're all appearing as nothing but blank white spaces, both in Firefox 3.0.3 on OS X 10.5.5, and when I download the files and view them with other programs. Do other people see this problem? Thanks again, Zane -- Zane Selvans Amateur Earthling za...@id... 303/815-6866 http://zaneselvans.org PGP Key: 55E0815F
El dom, 12-10-2008 a las 13:22 -1000, Eric Firing escribió: > Goyo wrote: > > Hi all, > > > > I'm plotting time series and using a custom format for x tick labels > > because I want to see both date and time. But calling xlim makes the > > default format return -- only dates or only times, it depends on the > > displayed interval. > > > > I can get my preferred format back by calling set_major_formatter again, > > but this is inconvenient for interactive use. > > > > I wonder if there is a better way for changing x limits while keeping > > tick labels format unchanged. > > > > I'm using matplotlib 0.98.3 > > > > Thanks > > > > Goyo > > > > > > Sample code -- you need a combination of python shell and matplotlib GUI > > which allows for interactive use in order to get this working as > > expected: > > > > ---------------------------------------- > > > > from matplotlib import pyplot > > from matplotlib import dates > > from datetime import datetime, timedelta > > from numpy import random > > > > pyplot.ion() > > > > # create data > > dstart = datetime(2008, 1, 1, 0, 0) > > dend = datetime(2008, 1, 5, 23, 50) > > delta = timedelta(minutes=10) > > x = dates.drange(dstart, dend, delta) > > y = random.random_sample(len(x)) > > > > # plot data > > pyplot.plot(x, y) > > > > # format x tick labels > > axis = pyplot.gca() > > fig = pyplot.gcf() > > axis.xaxis.set_major_formatter(dates.DateFormatter('%Y-%b-%d %H:%M')) > > fig.autofmt_xdate() > > > > # draw the figure > > pyplot.draw() > > > > -------------------------------------- > > > > Look at the tick labels, they show both date and time even if you zoom > > and pan using the GUI. > > > > Now if I want to look at the second day: > > > > dstart = datetime(2008, 1, 1, 0, 0) > > dend = datetime(2008, 1, 1, 23, 50) > > pyplot.xlim(dstart, dend) > > > > And the format has changed. > > I don't see this problem using ipython -pylab with mpl from svn on > linux, gtkagg backend. What version, backend, and platform are you using? matplotlib 0.98.3-3ubuntu1~ppa1 from Benjamin Drung's ppa (<http://ppa.launchpad.net/bdrung/ubuntu>) on Ubuntu Hardy. It was the standard python shell and TKAgg, but I get the same result with ipython -pylab and GTKAgg. Indeed the format change can be "documented": print axis.xaxis.get_major_formatter() pyplot.xlim(dstart, dend) print axis.xaxis.get_major_formatter() The first print: <matplotlib.dates.DateFormatter instance at 0xb6e2462c> and the second: <matplotlib.dates.AutoDateFormatter instance at 0x884dc4c> I did some debugging and realized that xaxis.units is None after plotting, so xlim triggers a call to xaxis.set_units which sets the default formatter (and units, whatever it means). If I set my formatter again, xaxis.units is not None anymore but still xaxis._update_axisinfo sets the default formatter. Anyway I worked around this by writing my own version of xlim which first saves the formatter, then sets xlim and sets the saved formatter again. Goyo
The reason it wasn't working is that my function "foo" didn't have the right signature.fmt_xdata takes 1 argument. I have no idea why I didn't see an exception displayed. It's working now that I have def foo(x) pass Mathew John Hunter wrote: > On Mon, Oct 13, 2008 at 2:27 PM, Mathew Yeates <my...@jp...> wrote: > >> Angus pointed out that I need to do >> res.fmt_xdata=foo >> Duh. I was evaluating foo. >> >> But this still doesn't work! >> The default formatting operation is still called. >> > > This is the correct usage -- so if it is not working you need to post > a complete example. Perhaps you are not setting the correct Axes > instance? > > JDH > >
Michael Lerner wrote: > Hi, > > I'm trying to plot some data where certain values are marked by a > sentinel, as per the Cookbook example: > > http://www.scipy.org/Cookbook/Matplotlib/Plotting_Images_with_Special_Values > > However, that code is fairly old, and doesn't work. A version that > worked as of ~18 months ago was posted to the list: > > http://www.nabble.com/Re:-Trying-p8831162.html > > but it fails when I try to use it with matplotlib 0.98.3 and imshow. > Does anyone have an updated version? > > Thanks, > > -michael > Michael, In the mpl "examples" directory there is a script that might be directly relevant: examples/pylab_examples/image_masked.py Eric
Hi, I'm trying to plot some data where certain values are marked by a sentinel, as per the Cookbook example: http://www.scipy.org/Cookbook/Matplotlib/Plotting_Images_with_Special_Values However, that code is fairly old, and doesn't work. A version that worked as of ~18 months ago was posted to the list: http://www.nabble.com/Re:-Trying-p8831162.html but it fails when I try to use it with matplotlib 0.98.3 and imshow. Does anyone have an updated version? Thanks, -michael -- Michael Lerner, Ph.D. IRTA Postdoctoral Fellow Laboratory of Computational Biology NIH/NHLBI 5635 Fishers Lane, Room T909, MSC 9314 Rockville, MD 20852 (UPS/FedEx/Reality) Bethesda MD 20892-9314 (USPS) http://www.umich.edu/~mlerner
On Mon, Oct 13, 2008 at 2:27 PM, Mathew Yeates <my...@jp...> wrote: > Angus pointed out that I need to do > res.fmt_xdata=foo > Duh. I was evaluating foo. > > But this still doesn't work! > The default formatting operation is still called. This is the correct usage -- so if it is not working you need to post a complete example. Perhaps you are not setting the correct Axes instance? JDH
Angus pointed out that I need to do res.fmt_xdata=foo Duh. I was evaluating foo. But this still doesn't work! The default formatting operation is still called. Mathew Mathew Yeates wrote: > Thanks Angus. I tried this out ... it works once and only once! > BTW, The correct thing to do is > res=fig.gca() > res.fmt_xdata=foo() #instead of format_xdata > res.fmt_ydata=foo() > > although, like I said, it only first for the first event. Somehow > res.fmt_xdata is getting set back to None > > > Mathew > > > Angus McMorland wrote: > >> Hi Mathew, >> >> 2008年10月13日 Mathew Yeates <my...@jp... >> <mailto:my...@jp...>> >> >> Okay, I've gotten this far. I have a Figure and I think I can >> change the >> formatting of the values displayed in the toolbar by setting >> taking the >> X axis and setting the function >> format_xdata >> to something of my own (something that computes lat/lon). Similar idea >> for the Y axis. >> >> So, given my figure, how do I get the X and Y axis? All I see is >> gca(). >> But how can I get both? Using fig.get_axes() I only got 1 axis. >> >> >> I think this is a terminology issue: the axis objects returned by >> gca() or in the list returned by get_axes() incorporate both the >> 'axes' in the sense of x and y axes. With the single result of gca() >> you can get at both the x and y axes. For example: >> >> import matplotlib.pyplot as plt >> ax = plt.gca() >> ax.set_xlims(xmin=-1) >> ax.set_ylims(ymax=0) >> ax.format_xdata = ... # if this is how you use this bit - haven't >> needed to change these myself >> ax.format_ydata = ... >> >> I hope that helps, >> >> Angus. >> >> -- >> AJC McMorland >> Post-doctoral research fellow >> Neurobiology, University of Pittsburgh >> > > > > ------------------------------------------------------------------------- > This SF.Net email is sponsored by the Moblin Your Move Developer's challenge > Build the coolest Linux based applications with Moblin SDK & win great prizes > Grand prize is a trip for two to an Open Source event anywhere in the world > http://moblin-contest.org/redirect.php?banner_id=100&url=/ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > >
And forwarded to the list... forgot to hit reply to all. ---------- Forwarded message ---------- From: Angus McMorland <am...@gm...> Date: 2008年10月13日 Subject: Re: [Matplotlib-users] how do I get my axis To: Mathew Yeates <my...@jp...> 2008年10月13日 Mathew Yeates <my...@jp...> > Thanks Angus. I tried this out ... it works once and only once! > BTW, The correct thing to do is > res=fig.gca() > res.fmt_xdata=foo() #instead of format_xdata > res.fmt_ydata=foo() > I've just dug around in some old code, now that you've shown me this example to jog my memory. Perhaps you want to try res.fmt_xdata=foo (i.e. no brackets, so you pass the function, not the result of the function). Angus. > although, like I said, it only first for the first event. Somehow > res.fmt_xdata is getting set back to None > > > Mathew > > > Angus McMorland wrote: > >> Hi Mathew, >> >> 2008年10月13日 Mathew Yeates <my...@jp... <mailto: >> my...@jp...>> >> >> >> Okay, I've gotten this far. I have a Figure and I think I can >> change the >> formatting of the values displayed in the toolbar by setting >> taking the >> X axis and setting the function >> format_xdata >> to something of my own (something that computes lat/lon). Similar idea >> for the Y axis. >> >> So, given my figure, how do I get the X and Y axis? All I see is >> gca(). >> But how can I get both? Using fig.get_axes() I only got 1 axis. >> >> >> I think this is a terminology issue: the axis objects returned by gca() or >> in the list returned by get_axes() incorporate both the 'axes' in the sense >> of x and y axes. With the single result of gca() you can get at both the x >> and y axes. For example: >> >> import matplotlib.pyplot as plt >> ax = plt.gca() >> ax.set_xlims(xmin=-1) >> ax.set_ylims(ymax=0) >> ax.format_xdata = ... # if this is how you use this bit - haven't needed >> to change these myself >> ax.format_ydata = ... >> I hope that helps, >> >> Angus. >> >> -- >> AJC McMorland >> Post-doctoral research fellow >> Neurobiology, University of Pittsburgh >> > > > -- AJC McMorland Post-doctoral research fellow Neurobiology, University of Pittsburgh -- AJC McMorland Post-doctoral research fellow Neurobiology, University of Pittsburgh
Thanks Angus. I tried this out ... it works once and only once! BTW, The correct thing to do is res=fig.gca() res.fmt_xdata=foo() #instead of format_xdata res.fmt_ydata=foo() although, like I said, it only first for the first event. Somehow res.fmt_xdata is getting set back to None Mathew Angus McMorland wrote: > Hi Mathew, > > 2008年10月13日 Mathew Yeates <my...@jp... > <mailto:my...@jp...>> > > Okay, I've gotten this far. I have a Figure and I think I can > change the > formatting of the values displayed in the toolbar by setting > taking the > X axis and setting the function > format_xdata > to something of my own (something that computes lat/lon). Similar idea > for the Y axis. > > So, given my figure, how do I get the X and Y axis? All I see is > gca(). > But how can I get both? Using fig.get_axes() I only got 1 axis. > > > I think this is a terminology issue: the axis objects returned by > gca() or in the list returned by get_axes() incorporate both the > 'axes' in the sense of x and y axes. With the single result of gca() > you can get at both the x and y axes. For example: > > import matplotlib.pyplot as plt > ax = plt.gca() > ax.set_xlims(xmin=-1) > ax.set_ylims(ymax=0) > ax.format_xdata = ... # if this is how you use this bit - haven't > needed to change these myself > ax.format_ydata = ... > > I hope that helps, > > Angus. > > -- > AJC McMorland > Post-doctoral research fellow > Neurobiology, University of Pittsburgh
Hi Mathew, 2008年10月13日 Mathew Yeates <my...@jp...> > Okay, I've gotten this far. I have a Figure and I think I can change the > formatting of the values displayed in the toolbar by setting taking the > X axis and setting the function > format_xdata > to something of my own (something that computes lat/lon). Similar idea > for the Y axis. > > So, given my figure, how do I get the X and Y axis? All I see is gca(). > But how can I get both? Using fig.get_axes() I only got 1 axis. I think this is a terminology issue: the axis objects returned by gca() or in the list returned by get_axes() incorporate both the 'axes' in the sense of x and y axes. With the single result of gca() you can get at both the x and y axes. For example: import matplotlib.pyplot as plt ax = plt.gca() ax.set_xlims(xmin=-1) ax.set_ylims(ymax=0) ax.format_xdata = ... # if this is how you use this bit - haven't needed to change these myself ax.format_ydata = ... I hope that helps, Angus. -- AJC McMorland Post-doctoral research fellow Neurobiology, University of Pittsburgh
Okay, I've gotten this far. I have a Figure and I think I can change the formatting of the values displayed in the toolbar by setting taking the X axis and setting the function format_xdata to something of my own (something that computes lat/lon). Similar idea for the Y axis. So, given my figure, how do I get the X and Y axis? All I see is gca(). But how can I get both? Using fig.get_axes() I only got 1 axis. Anybody know? Mathew
Hi Is there a way to display the latitude and longitude of the cursor when displaying a Basemap? Mathew
LaTeX can accept embedded Python code with a python.sty file. This is handy to dynamically generate plots with Matplotlib for a LaTeX slide presentation. I successfully embedded lots of matplotlib plot code into my slides and then had problems with zorder. For some reason zorder seems to mess up the footer of my Beamer/LaTeX slides. (For some reason zorder setting make the footer shrink in size.) Is there any weirdness or side effects about zorder I should be aware of that would explain this? Chris
Jeff Whitaker wrote: > Ian Curington wrote: >> Does anyone have extensions or hints on how to create high quality >> vector contour plots on unstructured triangle meshes, with values at >> nodes? I can convert to structured with griddata, but I much prefer to >> get a direct contour from the original triangles. Thanks! > Ian: Matplotlib's contour cannot do this (although I believe the > underlying c code does have this capability). I think it would be a Although contouring routines often do subdivide the rectilinear grid into triangles, and use those triangles to calculate the contours, the cntr.c routine in mpl does not. It does everything using only the original rectilinear grid. Eric > useful addition. For right now, however, your workaround is the best > solution. > > PyNGL (http://www.pyngl.ucar.edu/Graphics/contour_grids.shtml) can > contour triangular meshes, if you'd like to give that a try. > > -Jeff >
Hi Eric and Goyo Thanks for your comments and thanks for your working example, Goyo. Eric Firing <ef...@ha...>: > If you are only using savefig, not plotting to the screen, then you might as > well use the agg backend, not the gtkagg. I have previously used the agg backend without any problems. The reason I am switching to GTK(Agg) is because I would like to save some of my plots in jpeg (which only the GTK backend supports). In some tests that I have made (manually converting png plots to jpeg with PIL) it seems like this will result in much smaller plots that are still in good quality. My application serves plots over the internet so file size is quite important. Best regards, Jesper
On Sun, Oct 12, 2008 at 9:01 PM, bwgoudey <bwg...@gm...> wrote: > > Hi, > At the moment, I have a graph which has an un labelled x-axis and all i'm > drawing is a filled green rectangle every so often. I would like make it so > that when I zoom in to my graph past a certain threshold, the rectangles > change so that the first half is a different colour to the second half and > the x-axis is now labelled. Does anyone have any suggestions on how I could > implement this? If my explanation hasn't made sense, or lacks details, feel > free to ask for more. the clipped line demo at http://matplotlib.sourceforge.net/examples/pylab_examples/clippedline.py shows how to change properties depending on the zoom level. i doesn't d it *exactly* as you indicate, but you give you enough to go on. JDH
Hi, At the moment, I have a graph which has an un labelled x-axis and all i'm drawing is a filled green rectangle every so often. I would like make it so that when I zoom in to my graph past a certain threshold, the rectangles change so that the first half is a different colour to the second half and the x-axis is now labelled. Does anyone have any suggestions on how I could implement this? If my explanation hasn't made sense, or lacks details, feel free to ask for more. Cheers -- View this message in context: http://www.nabble.com/Alter-graph-labels-based-on-zoom-level-tp19947898p19947898.html Sent from the matplotlib - users mailing list archive at Nabble.com.