Hello, I came across problem of label rotation with autofmt_xdate() in subplothost too. Is there a new version with the bug fixed or a workaround to doing the label rotation in subplothost? Thanks, Solomon
Jae-Joon Lee wrote: > > The workarounds suggested in this thread does not work? > To me, the ordinal thing is not actually a bug, but you need some > extra caution to avoid this error happening. > > The issue with the label roration is a different matter though. > > Regards, > > -JJ > > > On Wed, Jan 13, 2010 at 8:16 AM, Rodribat <rodri...@gmail.com> wrote: >> >> >> Hi matplotlib users! >> >> Did someone solve the problem of use fig.autofmt_xdate() function with >> SubplotHost object? >> I googled for it and I found this question only here, without solution. >> Is >> there a bug? Anyone knows >> someway to solve this? >> >> Thank you, >> >> []'s >> >> Rodrigo Batista >> >> >> David GUERINEAU wrote: >>> >>> Hi matplotlib_users ! >>> >>> I'm David from Berlin, and believe I'm experiencing some problem with >>> the >>> SubplotHost module: >>> >>> I'm generating graphs from hudge databases of cpu and ethernet >>> statistics, >>> and I wanted to mix several graphs concerning ethernet statistics in the >>> same figure, >>> with time as x axis, and bytes-in, bytes-out, packets-in, packets-out >>> and >>> number of >>> collisions as three different y axes, with three different scale. >>> >>> I took the inspiration from >>> >>> for the x axes and from >>> >>> http://matplotlib.sourceforge.net/examples/axes_grid/demo_parasite_axes2.html >>> for the y axes >>> >>> The following code is a synthetic reproduction of the problem I'm >>> experiencing (it is also attached): >>> >>> from matplotlib.dates import date2num >>> from matplotlib import pyplot >>> from matplotlib import pylab >>> from mpl_toolkits.axes_grid.parasite_axes import SubplotHost >>> from datetime import datetime >>> >>> dates = [ 733581.20833333337, 733581.20837962965, 733581.20842592593, >>> 733581.20847222221, 733581.20851851848, >>> 733581.20855324075, 733581.20858796302, 733581.2086342593, >>> 733581.20866898145, 733581.20871527772] >>> rxB = [054L, 130L, 144L, 54L, 36L, 9L, 35L, 43L, 85L, 43L] >>> txB = [4L, 9L, 9L, 5L, 4L, 4L, 4L, 5L, 6L, 5L] >>> rxP = [77, 228, 251, 112, 77, 42, 75, 97, 147, 91] >>> txP = [61, 177, 188, 90, 61, 40, 64, 76, 113, 77] >>> col = [1, 0, 0, 0, 0, 0, 0, 0, 0, 0] >>> >>> ethPlot = pyplot >>> fig = ethPlot.figure() >>> host = SubplotHost(fig, 111) >>> >>> host.set_ylabel("kB/s") >>> host.set_xlabel("Time") >>> >>> par1 = host.twinx() >>> par2 = host.twinx() >>> >>> par1.set_ylabel("Packets/s") >>> >>> par2.axis["right"].set_visible(False) >>> >>> offset = 60, 0 >>> new_axisline = par2.get_grid_helper().new_fixed_axis >>> par2.axis["right2"] = new_axisline(loc="right", >>> axes=par2, >>> offset=offset) >>> >>> par2.axis["right2"].label.set_visible(True) >>> par2.axis["right2"].set_label("Collisions") >>> >>> par1.set_ylim(0, 6000) >>> par2.set_ylim(0, 7000) >>> >>> host.axis([ dates[0], ( dates[0] + 0.041 ), -7000, 7000]) >>> par1.axis([ dates[0], ( dates[0] + 0.041 ), -10000, 10000]) >>> par2.axis([ dates[0], ( dates[0] + 0.041 ), -700, 700]) >>> >>> fig.add_axes(host) >>> ethPlot.subplots_adjust(right=0.75) >>> >>> drawRxByt, = host.plot_date(dates, rxB, 'g', tz=None, xdate=True, >>> ydate=False, label="kB/s in") >>> drawTxByt, = host.plot_date(dates, txB, 'b', tz=None, xdate=True, >>> ydate=False, label="kB/s out") >>> drawRxPaq, = par1.plot_date(dates, rxP, 'm', tz=None, xdate=True, >>> ydate=False, label="packets/s in") >>> drawTxPaq, = par1.plot_date(dates, txP, 'y', tz=None, xdate=True, >>> ydate=False, label="packets/s out") >>> drawColls, = par2.plot_date(dates, col, 'r', tz=None, xdate=True, >>> ydate=False, label="collisions") >>> >>> fig.autofmt_xdate() >>> >>> host.set_xlabel("Time") >>> host.set_ylabel("kB/s") >>> par1.set_ylabel("Packets/s") >>> >>> host.legend() >>> >>> host.axis["left"].label.set_color(drawRxByt.get_color()) >>> host.axis["left"].label.set_color(drawTxByt.get_color()) >>> par1.axis["right"].label.set_color(drawRxPaq.get_color()) >>> par1.axis["right"].label.set_color(drawtxPaq.get_color()) >>> par2.axis["right2"].label.set_color(drawColls.get_color()) >>> >>> ethPlot.draw() >>> pylab.savefig( './test.png', dpi=(640/8)) >>> >>> >>> >>> >>> Maybe I do something wrong somewhere here, but other scripts that do the >>> same for a single graphwork like a charm. So it's not a question of >>> dataType >>> or something. To compare with a working code, here is the first version >>> of >>> the fuction that does the job on single graphs without any problem : >>> >>> def drawEthGraph(filename, hdates, rxP, txP, rxB, txB, col): >>> ethPlot = pyplot >>> fig = ethPlot.figure() >>> ax = fig.add_subplot(111) >>> ax.plot_date(hdates, rxP, 'g', None, True, False) >>> ax.plot_date(hdates, txP, 'b', None, True, False) >>> ax.plot_date(hdates, rxB, 'g', None, True, False) >>> ax.plot_date(hdates, txB, 'b', None, True, False) >>> ax.plot_date(hdates, col, 'r', None, True, False) >>> ax.axis([ hdates[0], ( hdates[0] + 0.042 ), -7000, 7000]) >>> ax.grid(True) >>> fig.autofmt_xdate() >>> pylab.savefig( filename, dpi=(640/8)) >>> >>> >>> I don't think I understand the whole process of generation, but I >>> thought >>> at >>> least at the beginnig I was having a good feeling with this API. >>> Now I wonder how to go around this. Maybe you'll have an idea :-o >>> >>> Best regards >>> >>> DvD >>> >>> from matplotlib.dates import date2num >>> from matplotlib import pyplot >>> from matplotlib import pylab >>> from mpl_toolkits.axes_grid.parasite_axes import SubplotHost >>> from datetime import datetime >>> >>> dates = [ 733581.20833333337, 733581.20837962965, 733581.20842592593, >>> 733581.20847222221, 733581.20851851848, >>> 733581.20855324075, 733581.20858796302, 733581.2086342593, >>> 733581.20866898145, 733581.20871527772] >>> rxB = [054L, 130L, 144L, 54L, 36L, 9L, 35L, 43L, 85L, 43L] >>> txB = [4L, 9L, 9L, 5L, 4L, 4L, 4L, 5L, 6L, 5L] >>> rxP = [77, 228, 251, 112, 77, 42, 75, 97, 147, 91] >>> txP = [61, 177, 188, 90, 61, 40, 64, 76, 113, 77] >>> col = [1, 0, 0, 0, 0, 0, 0, 0, 0, 0] >>> >>> ethPlot = pyplot >>> fig = ethPlot.figure() >>> host = SubplotHost(fig, 111) >>> >>> host.set_ylabel("kB/s") >>> host.set_xlabel("Time") >>> >>> par1 = host.twinx() >>> par2 = host.twinx() >>> >>> par1.set_ylabel("Packets/s") >>> >>> par2.axis["right"].set_visible(False) >>> >>> offset = 60, 0 >>> new_axisline = par2.get_grid_helper().new_fixed_axis >>> par2.axis["right2"] = new_axisline(loc="right", >>> axes=par2, >>> offset=offset) >>> >>> par2.axis["right2"].label.set_visible(True) >>> par2.axis["right2"].set_label("Collisions") >>> >>> par1.set_ylim(0, 6000) >>> par2.set_ylim(0, 7000) >>> >>> host.axis([ dates[0], ( dates[0] + 0.041 ), -7000, 7000]) >>> par1.axis([ dates[0], ( dates[0] + 0.041 ), -10000, 10000]) >>> par2.axis([ dates[0], ( dates[0] + 0.041 ), -700, 700]) >>> >>> fig.add_axes(host) >>> ethPlot.subplots_adjust(right=0.75) >>> >>> drawRxByt, = host.plot_date(dates, rxB, 'g', tz=None, xdate=True, >>> ydate=False, label="kB/s in") >>> drawTxByt, = host.plot_date(dates, txB, 'b', tz=None, xdate=True, >>> ydate=False, label="kB/s out") >>> drawRxPaq, = par1.plot_date(dates, rxP, 'm', tz=None, xdate=True, >>> ydate=False, label="packets/s in") >>> drawTxPaq, = par1.plot_date(dates, txP, 'y', tz=None, xdate=True, >>> ydate=False, label="packets/s out") >>> drawColls, = par2.plot_date(dates, col, 'r', tz=None, xdate=True, >>> ydate=False, label="collisions") >>> >>> fig.autofmt_xdate() >>> >>> host.set_xlabel("Time") >>> host.set_ylabel("kB/s") >>> par1.set_ylabel("Packets/s") >>> >>> host.legend() >>> >>> host.axis["left"].label.set_color(drawRxByt.get_color()) >>> host.axis["left"].label.set_color(drawTxByt.get_color()) >>> par1.axis["right"].label.set_color(drawRxPaq.get_color()) >>> par1.axis["right"].label.set_color(drawtxPaq.get_color()) >>> par2.axis["right2"].label.set_color(drawColls.get_color()) >>> >>> ethPlot.draw() >>> pylab.savefig( './test.png', dpi=(640/8)) >>> >>> >>> >>> ------------------------------------------------------------------------------ >>> >>> _______________________________________________ >>> Matplotlib-users mailing list >>> Matplotlib-users@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> >>> >> >> -- >> View this message in context: >> http://old.nabble.com/%22Ordinal-must-be-%3E%3D-1%22-with-SuplotHost-and-dates-tp24305444p27144728.html >> Sent from the matplotlib - users mailing list archive at Nabble.com. >> >> >> ------------------------------------------------------------------------------ >> This SF.Net email is sponsored by the Verizon Developer Community >> Take advantage of Verizon's best-in-class app development support >> A streamlined, 14 day to market process makes app distribution fast and >> easy >> Join now and get one step closer to millions of Verizon customers >> http://p.sf.net/sfu/verizon-dev2dev >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > > ------------------------------------------------------------------------------ > This SF.Net email is sponsored by the Verizon Developer Community > Take advantage of Verizon's best-in-class app development support > A streamlined, 14 day to market process makes app distribution fast and > easy > Join now and get one step closer to millions of Verizon customers > http://p.sf.net/sfu/verizon-dev2dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- View this message in context: http://old.nabble.com/%22Ordinal-must-be-%3E%3D-1%22-with-SuplotHost-and-dates-tp24305444p28614682.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
