[Matplotlib-users] zorder with twinx grid
Hi, Does the zorder work between twin axis? I can't get lines on the first axis to be on top of the second grid: plot([20,30], [0, 5], color=red, lw=5, zorder=10) ax2=twinx() grid(ls=-, lw=5, zorder=-1) ax2.set_axisbelow(True) title(Why doesn't the read line go above the second axis?) Cheers, Olle -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] plot a data stream with matplotlib
Dear List, I have some variables I want to plot... the values of those variable change in time... I would like to plot the result with a traditional line plot those variables are traits of a class (don't know if this can make a difference...) is there any example of this with matplotlib? best regards, simone gabbriellini -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] zorder with twinx grid
twinx makes a separate axes and zorders are only meaningful within a same axes. Because ax2 is added to the figure later than the original axes, artists in ax2 are always above others. I don't think there is an easy way to make zorder work between several axes, unless you somehow merge them into a single axes. You may try my (a bit experimental) helper class made for this purpose. http://dl.getdropbox.com/u/178748/mpl/parasite_axes2.py import matplotlib.pyplot as plt from parasite_axes2 import SubplotHost f = plt.figure(2) ax = SubplotHost(f, 1, 1, 1) f.add_subplot(ax) ax.plot([20,30], [0, 5], color=red, lw=5, zorder=10) ax2=ax.twinx() ax2.grid(ls=-, lw=5, zorder=-1) ax2.set_axisbelow(True) plt.show() -JJ On Sun, Jan 18, 2009 at 7:48 AM, Olle Engdegård o...@fysast.uu.se wrote: Hi, Does the zorder work between twin axis? I can't get lines on the first axis to be on top of the second grid: plot([20,30], [0, 5], color=red, lw=5, zorder=10) ax2=twinx() grid(ls=-, lw=5, zorder=-1) ax2.set_axisbelow(True) title(Why doesn't the read line go above the second axis?) Cheers, Olle -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Scale subplot plots?
I'm afraid that you may not be able to do those with the subplot. If you want a fixed size axes, you need to manually calculate the axes position (in normalized figure coordinates) using the figure size. You may use my helper class which support a fixed-size axes. http://dl.getdropbox.com/u/178748/mpl/axes_divider.py import matplotlib.pyplot as plt from axes_divider import make_axes_locatable fig1 = plt.figure(1, (6, 6)) ax = fig1.add_subplot(1, 1, 1) divider = make_axes_locatable(ax) # make a new axes with fixed height (1 inch) above ax ax2 = divider.new_vertical(size=1, pad=0.1, sharex=ax) # size in inches fig1.add_axes(ax2) plt.show() Regardless of the figure size, ax2 will always have 1 inch height and ax will have the rest of the subplot area. Regards, -JJ On Thu, Jan 15, 2009 at 1:14 PM, Eric Jonas jo...@mit.edu wrote: I've looked in both the examples and the docs, and have yet to find a clear way of accomplishing the following: I have a plot with two subplots: |---| | | | | |---| | | | | | | . . . . That is, I want the top subplot (which shows aggregate data, using the same x-axis) to always be, say, 80 pix high, and the bottom subplot to scale with the number of things (in this case, sparkline-like timelines) I add to it. So there's not a constant ratio between the top and bottom subplots. Might anyone be able to point me in the right direction, either to an explicit example or someplace in the docs? Thanks! ...Eric Jonas -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plot a data stream with matplotlib
thanks, it is exactly what I need... I have undestood the logic, I build a plot, put my traits values into an array and then I call the add_current_state_to_plot function to update the plot with the new values... I am an absolute beginner of matplotlib, can you give me a little example of add_current_state_to_plot function? Because I don't know the right way to update: do I have to pass all the array, or just the new values? best regards, simone 2009/1/18 C Lewis chle...@nature.berkeley.edu: Guessing about what you want: Does the class change with time? that is, perhaps you have a class foo, and foo evolves, and you would like to plot a history of some traits of foo, but at any given moment foo only contains its current state? If so, I think you need to have a function in foo, or even a separate class, that takes `snapshots' of foo's traits on one schedule, and stores them, and can also plot them on some schedule. Choosing how to do that is more a python problem than a matplotlib problem; personally, I have something set up so class 'profile' has functions to 'setup_plot' and 'add_current_state_to_plot', and I just have to choose when to call the latter. Or you can just store the values and plot at the end; once you have one list of the times, and a separate list of each trait's history at those times, you're set up for matplotlib plotting, e.g. from pylab import * plot(times, traitA, times, traitB, times, traitC) show() although, while looking for a simple example, I found this: http://matplotlib.sourceforge.net/examples/pylab_examples/plotfile_demo.html which is not totally simple but looks great. C On Jan 18, 2009, at 9:36 AM, Simone Gabbriellini wrote: Dear List, I have some variables I want to plot... the values of those variable change in time... I would like to plot the result with a traditional line plot those variables are traits of a class (don't know if this can make a difference...) is there any example of this with matplotlib? best regards, simone gabbriellini -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plot a data stream with matplotlib
#Skeleton example of a taking snapshots of an evolving class import pylab as p from math import log class foo: def __init__(self): self.red = 0 self.green = 1 self.age = 0 self.history = ([self.age],[self.red],[self.green]) def snapshot(self): self.history[0].append(self.age) self.history[1].append(self.red) self.history[2].append(self.green) def evolve(self, time): self.red = self.red + time/2 self.green = self.green * log(time) self.age = self.age + time self.snapshot() def display(self): p.plot(self.history[0],self.history[1],self.history[0],self.history[2]) p.show() if __name__ == '__main__': f = foo() f.snapshot() f.evolve(6); f.evolve(.27);f.evolve(10);f.evolve(2) print f.history f.display() On Jan 18, 2009, at 3:18 PM, Simone Gabbriellini wrote: thanks, it is exactly what I need... I have undestood the logic, I build a plot, put my traits values into an array and then I call the add_current_state_to_plot function to update the plot with the new values... I am an absolute beginner of matplotlib, can you give me a little example of add_current_state_to_plot function? Because I don't know the right way to update: do I have to pass all the array, or just the new values? best regards, simone 2009/1/18 C Lewis chle...@nature.berkeley.edu: Guessing about what you want: Does the class change with time? that is, perhaps you have a class foo, and foo evolves, and you would like to plot a history of some traits of foo, but at any given moment foo only contains its current state? If so, I think you need to have a function in foo, or even a separate class, that takes `snapshots' of foo's traits on one schedule, and stores them, and can also plot them on some schedule. Choosing how to do that is more a python problem than a matplotlib problem; personally, I have something set up so class 'profile' has functions to 'setup_plot' and 'add_current_state_to_plot', and I just have to choose when to call the latter. Or you can just store the values and plot at the end; once you have one list of the times, and a separate list of each trait's history at those times, you're set up for matplotlib plotting, e.g. from pylab import * plot(times, traitA, times, traitB, times, traitC) show() although, while looking for a simple example, I found this: http://matplotlib.sourceforge.net/examples/pylab_examples/plotfile_demo.html which is not totally simple but looks great. C On Jan 18, 2009, at 9:36 AM, Simone Gabbriellini wrote: Dear List, I have some variables I want to plot... the values of those variable change in time... I would like to plot the result with a traditional line plot those variables are traits of a class (don't know if this can make a difference...) is there any example of this with matplotlib? best regards, simone gabbriellini -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users Chloe Lewis Graduate student, Amundson Lab Division of Ecosystem Sciences, ESPM University of California, Berkeley 137 Mulford Hall - #3114 Berkeley, CA 94720-3114 chle...@nature.berkeley.edu -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] OS X backend and latex
Has anyone else noticed that when using latex with the OS X backend, figures, while appearing fine on screen, come out poorly when saved as images? -gideon -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] OS X backend and latex
Could you provide an example of code you've written that highlights this and a more specific description of what you mean by coming out poorly? Josh On Sun, Jan 18, 2009 at 11:51 PM, Gideon Simpson simp...@math.toronto.edu wrote: Has anyone else noticed that when using latex with the OS X backend, figures, while appearing fine on screen, come out poorly when saved as images? -gideon -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
