Re: [Matplotlib-users] Feature request: automatic scaling of subplots, margins, etc
Since I just posted an almost-identical question, it's no surprise
that I agree this would be a useful feature.
Reason #1) I create hundreds of quick throwaway figures every day,
often in an automated way, and don't have time to fine-tune them.
Reason #2) a newbie to matplotlib might be turned off by one ugly
figure, when in fact matplotlib is capable of producing beautiful
figures.
The previous suggestion I received was to create a convenience wrapper
for the subplot function with some idiot-proof defaults. Can you
propose a set of rcParams that satisfies this criterion? This one
fixes the specific issue you raise:
matplotlib.rcParams['figure.subplot.hspace'] = .5
Although it will rear its ugly head again once the number of subplots
reaches 5 or 6. Personally I rarely use more than 4x4, and if I did I
would certainly increase the figsize.
I find that setting all text sizes to be as small as possible also
helps. My most commonly encountered issue is overlapping x-tick
labels, because most of my plots have samples on the x-axis and
therefore hundreds of thousands of points.
The real solution of course is to calculate exactly where every piece
of text actually is, detect overlaps, and adjust. That is certainly
beyond my ability or inclination to implement. In the mean time, it
would be nice to have a simple idiot-proof flag that blindly fixes
some common problems.
On Fri, May 6, 2011 at 1:20 AM, Daniel Mader
danielstefanma...@googlemail.com wrote:
Hi,
almost every time I create a somewhat more complex figure I have to
fight with the not too smart positioning of the plots and the size of
margins around the axes. From many postings here I have learned that
this is the absolute intention, i.e. it is broken by design unless the
programmer takes care about this.
I have to admin that I do not really get this idea. I am aware that
the defaults will not change anytime soon and so I'd like to ask for
an idiot-proof mode: this could be enabled by an rcParam and take
care of proper dimensions, scale axis labels, titles, margins etc so
that they don't cover.
Here's an example for a matplotlib script which is a simple as it can
get and demonstrates the broken layout which a user gets by default.
import scipy
import pylab
x = scipy.linspace(-50,50, 100)
y1 = scipy.rand(100)
y2 = scipy.sin(x)
y3 = y1 + y2
fig = pylab.figure()
ax1 = fig.add_subplot(311)
ax2 = fig.add_subplot(312)
ax3 = fig.add_subplot(313)
ax1.plot(x, y1)
ax2.plot(x, y2)
ax3.plot(x, y3)
ax1.set_title('some title')
ax2.set_title('some title')
ax3.set_title('some title')
pylab.show()
Of course, one can adjust the figsize but the results are still far
from being adorable. The spacing around the sublplots increases for no
apparent reason while the spacing between the subplot remains the same
so that everything looks cramped...
Thank you many times in advance,
best regards,
Daniel
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[Matplotlib-users] Subplot x-tick labels overlap with each other and with titles
Hi
Whenever I create figures with at least 3x3 subplots, the x-tick
labels overlap with each other and they also overlap with the title of
the adjacent subplot, rendering the entire figure illegible. I know
that I can fine-tune the plot to look exactly the way I want with
wspace and hspace for instance, but I don't understand why this is
the default behavior. I wonder if I have a system font issue, such
that matplotlib thinks the fonts are smaller than they really are.
My questions:
1) Is this the intended behavior of matplotlib, or is there something
wrong with my installation?
2) Assuming I don't have an installation issue, is there a very
general parameter I can change so that the overlap doesn't occur,
rather than manually adjusting every figure?
Minimal code to reproduce the problem:
import numpy as np
import matplotlib.pyplot as plt
plt.figure()
plt.subplot(331)
plt.subplot(334)
plt.plot(np.arange(1))
plt.title('Title')
plt.show()
I'm attaching the output figure, although I'm not sure if the list
accepts attachments. The x-tick labels on subplot 334 overlap each
other, and the title of subplot 334 overlaps with the x-tick labels in
subplot 331.
System:
Ubuntu 10.04 x64
All packages are the stable versions from Synaptic, including ipython,
python, numpy, matplotlib 0.99.1.1
I've also tried the Enthought distribution with matplotlib 1.0.1 and
the results are the same
I've tried both Wx and Tk backends and the results are the same
I've tried `matplotlib.rcParams['xtick.labelsize'] = 'x-small'`, and
this does make the labels smaller, but for sufficiently large numbers
the overlap still occurs.
Thanks for any help!
Chris
attachment: output.png--
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[Matplotlib-users] Subplot x-tick labels overlap with each other and with titles
Hi
Whenever I create figures with at least 3x3 subplots, the x-tick
labels overlap with each other and they also overlap with the title of
the adjacent subplot, rendering the entire figure illegible. I know
that I can fine-tune the plot to look exactly the way I want with
wspace and hspace for instance, but I don't understand why this is
the default behavior. I wonder if I have a system font issue, such
that matplotlib thinks the fonts are smaller than they really are.
My questions:
1) Is this the intended behavior of matplotlib, or is there something
wrong with my installation?
2) Assuming I don't have an installation issue, is there a very
general parameter I can change so that the overlap doesn't occur,
rather than manually adjusting every figure?
Minimal code to reproduce the problem:
import numpy as np
import matplotlib.pyplot as plt
plt.figure()
plt.subplot(331)
plt.subplot(334)
plt.plot(np.arange(1))
plt.title('Title')
plt.show()
I'm attaching the output figure, although I'm not sure if the list
accepts attachments. The x-tick labels on subplot 334 overlap each
other, and the title of subplot 334 overlaps with the x-tick labels in
subplot 331.
System:
Ubuntu 10.04 x64
All packages are the stable versions from Synaptic, including ipython,
python, numpy, matplotlib 0.99.1.1
I've also tried the Enthought distribution with matplotlib 1.0.1 and
the results are the same
I've tried both Wx and Tk backends and the results are the same
I've tried `matplotlib.rcParams['xtick.labelsize'] = 'x-small'`, and
this does make the labels smaller, but for sufficiently large numbers
the overlap still occurs.
Thanks for any help!
Chris
attachment: output.png--
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The most intuitive, comprehensive, and cost-effective network
management toolset available today. Delivers lowest initial
acquisition cost and overall TCO of any competing solution.
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