When building your histograms, define your bins by means of either 'arange' (to set the same bin width) or 'linspace' (to set equally-spaced bin limits).
Eg, if all your histograms will have an x-axis ranging from 0 to 100, and you want the data in each of them plotted into 12 equally-spaced bins, then all you have to do is: bins = linspace(0, 100, 13) # sets 13 bin limits, ie 12 bins h1 = hist(data1, bins) h2 = hist(data2, bins) ... If what you want is to plot each data set into 10-units-width bins (within the same 0-to-100 x-axis): bins = arange(0, 100+10, 10) # sets bin widths h1 = hist(data1, bins) h2 = hist(data2, bins) ... /Antonio Christopher Fonnesbeck wrote: > On Nov 1, 2006, at 2:15 PM, John Hunter wrote: > >>>>>>> "listservs" == listservs <[EMAIL PROTECTED]> writes: >> listservs> I am trying to produce a series of histograms of >> listservs> related data, for which I want the ranges and scales of >> listservs> the x-axes to be the same. However, I dont see an >> listservs> obvious way of doing this with hist, since specifying >> listservs> nbins will not guarantee the same axis for each. Is >> listservs> there some sort of hack that I can use to do this (or >> listservs> an argument I am overlooking?). >> >> >> You can force axes in the same figure to share the same xaxes >> >> ax1 = subplot(211) >> ax2 = subplot(212, sharex=ax1) >> >> then any changes (panning and zooming) in one will be instantaneously >> reflected in the other. >> >> For axes in different figures, you can set the xlim manually >> >> ax1.set_xlim(xmin, xmax) >> ax2.set_xlim(xmin, xmax) >> >> There is more sophisticated stuff you can do with observers and event >> handling to couple axes between figures in the presence of panning and >> zooming if need be. > > I was able to get a common x-axis for all plots, but the bar width > remains inconsistent with very thick plots on some histograms, and > very thin ones on others. What is the secret here? I need to get > equal-width, non-overlapping bars on all the plots. > > I'm surprised that these issues have not come up before. For > publication in scientific journals, most editors would want > consistent scales for any series of plots. > > Thanks for any ideas, > Chris > > -- > Christopher Fonnesbeck > [EMAIL PROTECTED] > > > > > ------------------------------------------------------------------------- > Using Tomcat but need to do more? Need to support web services, security? > Get stuff done quickly with pre-integrated technology to make your job easier > Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo > http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
