[Matplotlib-users] axisGrid - blank subplots
I am using AxesGrid (from mpl_toolkits.axes_grid1 import AxesGrid) to generate multi-panel plots. It does very well except I have a problem with a blank subplot. I have 5 plots to display and the geometry of nrows_ncols=(3,2) produces the plot that I want except there is a frame placed in the last position - for which I did not call a plot. I cannot figure out an elegant way to supress this frame. The kludge I use now is to just set the edgecolor of the last grid subplot to the background and so it is not visible. All the examples have an even number of subplot figures so the grid is filled and this situation does not occur. --Jim -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Make the area a bit larger
So since I wanted some space on the borders of my graph, I did this really extremely convoluted thing, which apparently works... I get a 10% more area on each side, but I'm quite sure there's a better way to this, right? I didn't find any function to pass an increment to the size that's why I did this mess... --8---cut here---start-8--- old_axes = plt.axis() sizes = old_axes[1] - old_axes[0], old_axes[3] - old_axes[2] offset = lambda x: int((float(x) / 10)) new_axes = [] for i in range(len(old_axes)): new_val = old_axes[i] + (((-1) ** (i + 1)) * offset(sizes[i % 2])) new_axes.append(new_val) plt.axis(new_axes) --8---cut here---end---8--- -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Make the area a bit larger
On Mon, Feb 28, 2011 at 10:48 AM, Andrea Crotti andrea.crott...@gmail.comwrote: So since I wanted some space on the borders of my graph, I did this really extremely convoluted thing, which apparently works... I get a 10% more area on each side, but I'm quite sure there's a better way to this, right? I didn't find any function to pass an increment to the size that's why I did this mess... --8---cut here---start-8--- old_axes = plt.axis() sizes = old_axes[1] - old_axes[0], old_axes[3] - old_axes[2] offset = lambda x: int((float(x) / 10)) new_axes = [] for i in range(len(old_axes)): new_val = old_axes[i] + (((-1) ** (i + 1)) * offset(sizes[i % 2])) new_axes.append(new_val) plt.axis(new_axes) --8---cut here---end---8--- -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users Hi, You can try: fig, ax = plt.subplots(1,1) ax.plot(range(10)) fig.subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=0.95) If you choose WXAgg as your backend you get a nice config tool to adjust spacing in the figure. Then just pass those numbers into .subplots_adjust method once you are satisfied. -- Gökhan -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Best way to modify plot / subplot
On Sun, Feb 27, 2011 at 4:49 PM, David Andrews irbda...@gmail.com wrote: Hi All, I'm looking for some suggestions about two problems: 1) I'm converting some figure generating code from IDL into Python/matplotlib. Image attached showing this figure. IDL being a functional programming language for the most part, creating wrappers around various subroutines is trivial and generally the simplest way to modify their behavior. For example, in dealing with phase data (which can take values between 0º and 360º, and are 'wrapped' around this interval, such that 270º + 180º = 90º and so on), I have some stuff in IDL that instead over simply 'overplotting' some (x,y) data, it will do a quick loop and instead overplot (x, y + n * 360º) for n = -1, ..., 1 (or some other number of repetitions, you get the idea). Now, in matplotlib, while I can do this pretty easily, I suspect there are better ways? I suppose I could write a subclass of matplotlib.axes.Axes for example, that does the 360º repetition itself across not just the plot() method but for others also? But implementing a whole new class for this may be complicated, and I am sort of lost as to how I would then get that working with the pylab stateful interface? I'm reasonably new to OO programming, and I'm still getting my head round the 'best' way to do things like this. Alternatively, having a class that describes individual data points, I could define a plot() method for them? class MyData(): ... plot(self, axes): ... axes.plot(self.x, self.y + n * 360) But then, that seems to 'break' some rules, as I don't see much matplotlib code in which you do 'data.plot()' as opposed to 'axes.plot()' - the order seems wrong? 2) Somewhat similar to the first question. The figure includes (at the top) some ancillary data (showing lengths of orbit and year numbers). In IDL its done simply by filling polygons in normal / page coordinates - but again, I think it could be better done using OO somehow? Effectively, that top row could be thought of as a separate subplot. What would be the efficient / sensible / pythonic way to go about reproducing this. Another subclass of Axes? Many thanks, Dave Dave, Generally speaking, if your first thought is Should I subclass the Axes class? then you might need to take a second look at what matplotlib has to offer out of the box. Granted, the graph you wish to duplicate is very complex, but let us break it down into various components. First, you want multiple subplots to appear vertically stacked and share the same x-axis. Here is an example of how to do that: http://matplotlib.sourceforge.net/examples/pylab_examples/ganged_plots.html (Note that I personally advocate against the from pylab import * code style, and this example could easily be redone from the pyplot interface instead.) Here is another example where the person used LineCollections with defined offsets. This has the advantage of using a single axes object, but might be difficult to handle the y-axis. http://matplotlib.sourceforge.net/examples/pylab_examples/mri_with_eeg.html To have multiple x-axis tick labels for a common y-axis is a concept called twiny. The following is an example of doing twinx (multiple y-axis tick labels for a common x-axis), but the concept is the same: http://matplotlib.sourceforge.net/examples/api/two_scales.html This is another example showing a different way of doing that: http://matplotlib.sourceforge.net/examples/axes_grid/simple_axisline4.html As for some of the markings around the graph, I am not entirely certain how to implement that. I will leave that for others to suggest ideas for. I hope this is helpful! Ben Root -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] axisGrid - blank subplots
Boyle, Jim, on 2011-02-28 08:40, wrote: I am using AxesGrid (from mpl_toolkits.axes_grid1 import AxesGrid) to generate multi-panel plots. It does very well except I have a problem with a blank subplot. I have 5 plots to display and the geometry of nrows_ncols=(3,2) produces the plot that I want except there is a frame placed in the last position - for which I did not call a plot. I cannot figure out an elegant way to supress this frame. The kludge I use now is to just set the edgecolor of the last grid subplot to the background and so it is not visible. All the examples have an even number of subplot figures so the grid is filled and this situation does not occur. Hi Jim, how's this: import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import AxesGrid ag = AxesGrid(plt.figure(),(0,0,1,1),(2,3)) ag.axes_all[-1].set_visible(False) best, -- Paul Ivanov 314 address only used for lists, off-list direct email at: http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7 signature.asc Description: Digital signature -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Make the area a bit larger
Gökhan Sever, on 2011-02-28 11:32, wrote: On Mon, Feb 28, 2011 at 10:48 AM, Andrea Crotti andrea.crott...@gmail.comwrote: So since I wanted some space on the borders of my graph, I did this really extremely convoluted thing, which apparently works... I get a 10% more area on each side, but I'm quite sure there's a better way to this, right? I didn't find any function to pass an increment to the size that's why I did this mess... --8---cut here---start-8--- old_axes = plt.axis() sizes = old_axes[1] - old_axes[0], old_axes[3] - old_axes[2] offset = lambda x: int((float(x) / 10)) new_axes = [] for i in range(len(old_axes)): new_val = old_axes[i] + (((-1) ** (i + 1)) * offset(sizes[i % 2])) new_axes.append(new_val) plt.axis(new_axes) --8---cut here---end---8--- You can try: fig, ax = plt.subplots(1,1) ax.plot(range(10)) fig.subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=0.95) Hi Andrea, I think Gökhan is pointing out a different feature than the one you want. You seem to want to adjust the x and y limits of the plot to be some fraction larger than the data that's plotted. You can do this with: ax = plt.subplot(111) ax.plot(range(10)) ax.set_ymargin(.2) ax.set_xmargin(.1) # or ax.margins(.1,.2) ax.autoscale() plt.draw() see also the docstring for ax.autoscale_view for more. best, -- Paul Ivanov 314 address only used for lists, off-list direct email at: http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7 signature.asc Description: Digital signature -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Best way to modify plot / subplot
David, the preferred way to custom plots seems to be passing an Axes instance to the plotting function. Some tricks allow use of pylab/pyplot style: def custom_plot(x, y, axes=None): ... if axes is None: axes = pyplot.gca() axes.plot(x, y) What you don't get this way is the axes.custom_plot(x, y) sintax, which requires subclassing Axes. But doing this is not common and not straighforward if you want it to work well with pyplot.subplot() and the like. Maybe monkey patching would work but well, you know... I never tried it anyway. Goyo -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Issue with imshow and usetex
Hi,
In the following example:
---
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.imshow(np.random.random((1024, 1024)), interpolation='nearest')
fig.savefig('test_1.eps')
mpl.rc('text', usetex=True)
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.imshow(np.random.random((1024, 1024)), interpolation='nearest')
fig.savefig('test_2.eps')
---
the file test_2.eps is almost 6 times larger than test_1.eps, and takes much
longer to draw. It looks like in the first case, the image is rendered as a
bitmap (the way it should be), whereas in the second case each pixel is drawn
individually as a polygon. Is this a bug?
I am using r8988 of matplotlib.
Thanks for any help!
Thomas
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Re: [Matplotlib-users] axisGrid - blank subplots
You may use ngrids keyword parameter. i.e.,., nrows_ncols=(3,2), ngrids=5 Regards, -JJ On Tue, Mar 1, 2011 at 1:40 AM, Boyle, Jim boy...@llnl.gov wrote: I am using AxesGrid (from mpl_toolkits.axes_grid1 import AxesGrid) to generate multi-panel plots. It does very well except I have a problem with a blank subplot. I have 5 plots to display and the geometry of nrows_ncols=(3,2) produces the plot that I want except there is a frame placed in the last position - for which I did not call a plot. I cannot figure out an elegant way to supress this frame. The kludge I use now is to just set the edgecolor of the last grid subplot to the background and so it is not visible. All the examples have an even number of subplot figures so the grid is filled and this situation does not occur. --Jim -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] savefig bbox_inches='tight' does not consider suptitle
On Fri, Feb 25, 2011 at 9:15 PM, Yuri D'Elia wav...@users.sf.net wrote: In the following: import matplotlib as mpl import matplotlib.figure import matplotlib.backends.backend_agg fig = mpl.figure.Figure() cvs = mpl.backends.backend_agg.FigureCanvasAgg(fig) fig.set_size_inches((20,20)) fig.suptitle(Horray!, fontsize=20) plot = fig.add_subplot(111) plot.set_title(Subtitle) plot.plot([1,2,3], [3,2,1]) fig.savefig(out.png, bbox_inches='tight') suptitle is stripped from the figure. Of course the title is present if you unset bbox_inches, but that's unexpected behavior for me. Is this a bug? Unfortunately, bbox_inches option is never meant to be complete in figuring out the exact size of the figure area. However, you can use bbox_extra_artists keyword argument to specify additional artists that should be considered when dertermining the plot size. mytitle = fig.suptitle(Horray!, fontsize=20) ... fig.savefig(out.png, bbox_inches='tight', bbox_extra_artists=[mytitle]) Regards, -JJ Thanks -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Free Software Download: Index, Search Analyze Logs and other IT data in Real-Time with Splunk. Collect, index and harness all the fast moving IT data generated by your applications, servers and devices whether physical, virtual or in the cloud. Deliver compliance at lower cost and gain new business insights. http://p.sf.net/sfu/splunk-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
