Thanks for the suggestions, 'annotate' is what I need, I think. I get errors though, also when I run the example scripts from here: http://matplotlib.sourceforge.net/trunk-docs/users/annotations_guide.html#using-complex-coordinate-with-annotation .
I get the error 'NoneType' object is not iterable when I try plt.show() or try to save to eps. So I am not sure if I have the correct version of matplotlib installed. I checked out the newest matplotlib from the svn repository, removed my current installed version and installed the version in the 'trunk/' directory. 'annotate' did not work. Later, I installed matplotlib from the '/branches/v0_99_maint' directory. In both cases there were no errors in the installation, but still 'annotate' did not work. Could it be that I have the wrong library from the svn repository installed? Does r8319 mean release #8319? Kind Regards Hannes On Tue, 2010-05-18 at 13:34 -0400, Jae-Joon Lee wrote: > This can be done relatively easily with the current svn version of > matplotlib (r8319). > Below is the modified version of your code. > > See > > http://matplotlib.sourceforge.net/trunk-docs/users/annotations_guide.html#using-complex-coordinate-with-annotation > > for how the annotation works. > > While this is certainly possible with the released version, but it > will require you to write a few tens of lines of code. Basically, you > need create a custom Text class that update its position during the > drawing time. > > Regards, > > -JJ > > ###Code > import scipy > import matplotlib.pyplot as plt > > fig = plt.figure() > ax = fig.add_subplot(121) > plt.plot(scipy.sin(scipy.arange(1,100, 0.001))) > plt.xlabel('xlabel') > yl = plt.ylabel("ylabel") > > plt.annotate("A", (0,1.), xycoords=(yl, "axes fraction"), > xytext=(0, 14), textcoords="offset points", > fontsize=14) > > ax = fig.add_subplot(122) > plt.plot(scipy.cos(scipy.arange(1,100, 0.001))) > plt.xlabel('xlabel') > > my_ticklabel = ax.get_yticklabels()[-2] > # Note that there is no guarantee that all ticklabels are drawn. > plt.annotate("B", (0,1.), xycoords=(my_ticklabel, "axes fraction"), > xytext=(0, 14), textcoords="offset points", > fontsize=14) > > ###End Code > > > On Mon, May 17, 2010 at 11:08 AM, hettling <hettl...@few.vu.nl> wrote: > > Dear all, > > > > I'm struggling with the following problem plotting my data: > > > > I have a figure with two panels next to each other, which I want to > > label 'A' and 'B'. I want to left-justify my panel labels, but not to > > the box that contains the plot, but to the y-axis label. I played around > > with 'text()' and 'title()', but did not find a good solution except for > > giving the coordinates manually to 'text()'. This would be very > > inconvenient though, because I have many different plots on different > > scales. > > Here is what I tried: > > > > ###Code > > import scipy > > import matplotlib.pyplot as plt > > > > fig = plt.figure() > > ax = fig.add_subplot(121) > > plt.plot(scipy.sin(scipy.arange(1,100, 0.001))) > > plt.xlabel('xlabel') > > plt.ylabel("ylabel") > > plt.text(0,1,"A", fontsize=14, transform=ax.transAxes) > > > > ax = fig.add_subplot(122) > > plt.plot(scipy.cos(scipy.arange(1,100, 0.001))) > > plt.text(0,1,"B", fontsize=14, transform=ax.transAxes) > > plt.xlabel('xlabel') > > ###End Code > > > > So the texts 'A' and 'B' should be a little bit higher and more to the > > left. The 'A' I want to align with the y-axis label of the left plot, > > the 'B' with the values of the y-axis of the right plot. > > > > I hope my question is clear, I will appreciate any help! > > > > Thanks in advance, > > > > Hannes > > > > > > ------------------------------------------------------------------------------ > > > > _______________________________________________ > > Matplotlib-users mailing list > > Matplotlib-users@lists.sourceforge.net > > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
