Re: [Matplotlib-users] tailwidth?
I know this is an old post, but just in case. For arrowstyle=-, they are just lines (well, not exactly as a matter of fact). So, what you need is to change their linewidths. You may do arrow1=pylab.annotate(, xytext=(0.1,0.1), xy=(0.9,0.9),fontsize=8, arrowprops=dict(arrowstyle=-,head_length=1,head_width=0.8, # I'm changing the head_length and head_width to make the arrow more visible. linewidth=3)) On the other hand, the underlying artist associated with the arrow can be accessed by *arrow1.arrow_patch*. Note that it is actually an instance of Patch. Regards, -JJ On Fri, Dec 16, 2011 at 8:32 PM, Petro x.pi...@gmail.com wrote: How can I change linewidth of this arrow? arrow1=pylab.annotate(, xytext=(-3500,-1e8), xy=(-3500,8e8),fontsize=8,arrowprops=dict(arrowstyle=-)) Thank you in advance. Petro -- Learn Windows Azure Live! Tuesday, Dec 13, 2011 Microsoft is holding a special Learn Windows Azure training event for developers. It will provide a great way to learn Windows Azure and what it provides. You can attend the event by watching it streamed LIVE online. Learn more at http://p.sf.net/sfu/ms-windowsazure ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] WYSIWYG figure
Paul Ivanov pivanov...@gmail.com writes: Thanks. The tiling manager was the guilty one (I use AWESOME). The set_size command did not work: Traceback (most recent call last): File /tmp/py2262sxl, line 45, in module fig.set_size_inches(pylab.rcParams['figure.figsize'], forward='True') File /usr/lib/pymodules/python2.6/matplotlib/figure.py, line 447, in set_size_inches manager.resize(int(canvasw), int(canvash)) TypeError: resize() takes exactly 2 arguments (3 given) But once I mage have made the figure foating, it took the correct size. Best Petro Hi Petro, Petro, on 2012-01-11 15:39, wrote: Can I set a figure to appear on my screen in the same way as it is saved in png file? You sure can. A likely reason these two don't appear the same is that your 'figure.dpi' rcParam is not the same as the 'savefig.dpi' parameter. The same may apply to 'figure.facecolor' and 'figure.edgecolor' and their savefig counterparts. Another reason might be that you're using a tiling window manager. I use xmonad, and it will resize figures so that they all fit on the screen without overlap, and since I put the call to plt.show() *after* savefig, the figures get saved as whatever size they were originally created as, but then show up as whatever space they can fit into given that my window manager resized them. You can resize them back, assuming that 'f' is the Figure instance, using something like: f.set_size_inches(plt.rcParams['figure.figsize'], forward=True) best, -- Petro Khoroshyy -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Horizontal bar chart with log x-axis, no filled boxes
I'm running into something odd in Matplotlib 1.1. In drawing a horizontal bar chart (barh), if the x-axis scale is set to log, the rectangles are not drawn and filled; I just get small ticks at the right-hand position where the rectangle should end. Interestingly, if I add a second, stacked barh to the same axes, that second set of rectangles draws fine, even though the first does not. If I simply comment out the call setting the x axis to log, it works properly. Any thoughts? -- -- Christophe Pettus x...@thebuild.com -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Horizontal bar chart with log x-axis, no filled boxes
On Thu, Jan 12, 2012 at 9:03 AM, Christophe Pettus x...@thebuild.com wrote: I'm running into something odd in Matplotlib 1.1. In drawing a horizontal bar chart (barh), if the x-axis scale is set to log, the rectangles are not drawn and filled; I just get small ticks at the right-hand position where the rectangle should end. Interestingly, if I add a second, stacked barh to the same axes, that second set of rectangles draws fine, even though the first does not. If I simply comment out the call setting the x axis to log, it works properly. Any thoughts? Does everything work correctly if it is vertical? In other words, use bar() and set the y-axis to log scale? An example script would be useful. Ben Root -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Horizontal bar chart with log x-axis, no filled boxes
On Jan 12, 2012, at 7:38 AM, Benjamin Root wrote:
Does everything work correctly if it is vertical? In other words, use bar()
and set the y-axis to log scale? An example script would be useful.
No, it doesn't appear to work as a vertical bar chart, either.
I've attached a test case below. The results I get running it with the X-axis
as log are:
http://thebuild.com/matlabtest/matlabtest-log.pdf
Commenting out the call to ax.set_xscale('log') gives me:
http://thebuild.com/matlabtest/matlabtest.pdf
Thanks!
--
import numpy as np
import matplotlib
from matplotlib.font_manager import FontProperties
import random
matplotlib.use('PDF')
import matplotlib.pyplot as plot
small_font = FontProperties()
small_font.set_size('xx-small')
ind = np.arange(20)
label = [ str(r) for r in ind ]
data1 = [ float(random.random()*1) for r in ind ]
data2 = [ float(random.random()*1) for r in ind ]
width = 0.25
fig = plot.figure()
ax = fig.add_subplot(111)
ax.set_title('Table Title')
ax.set_xlabel('X Label')
ax.barh(ind, data1, width, linewidth=0, color='blue')
ax.barh(ind, data2, width, left=data1, linewidth=0, color='yellow')
ax.set_yticks(ind + width/2)
ax.set_yticklabels(label, fontproperties=small_font)
ax.set_xscale('log')
plot.savefig('matlabtest-log.pdf')
--
-- Christophe Pettus
x...@thebuild.com
--
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Re: [Matplotlib-users] Horizontal bar chart with log x-axis, no filled boxes
On Thu, Jan 12, 2012 at 11:39 AM, Christophe Pettus x...@thebuild.comwrote:
On Jan 12, 2012, at 7:38 AM, Benjamin Root wrote:
Does everything work correctly if it is vertical? In other words, use
bar() and set the y-axis to log scale? An example script would be useful.
No, it doesn't appear to work as a vertical bar chart, either.
I've attached a test case below. The results I get running it with the
X-axis as log are:
http://thebuild.com/matlabtest/matlabtest-log.pdf
Commenting out the call to ax.set_xscale('log') gives me:
http://thebuild.com/matlabtest/matlabtest.pdf
Thanks!
--
import numpy as np
import matplotlib
from matplotlib.font_manager import FontProperties
import random
matplotlib.use('PDF')
import matplotlib.pyplot as plot
small_font = FontProperties()
small_font.set_size('xx-small')
ind = np.arange(20)
label = [ str(r) for r in ind ]
data1 = [ float(random.random()*1) for r in ind ]
data2 = [ float(random.random()*1) for r in ind ]
width = 0.25
fig = plot.figure()
ax = fig.add_subplot(111)
ax.set_title('Table Title')
ax.set_xlabel('X Label')
ax.barh(ind, data1, width, linewidth=0, color='blue')
ax.barh(ind, data2, width, left=data1, linewidth=0, color='yellow')
ax.set_yticks(ind + width/2)
ax.set_yticklabels(label, fontproperties=small_font)
ax.set_xscale('log')
plot.savefig('matlabtest-log.pdf')
--
-- Christophe Pettus
Isn't this just because zero isn't defined in log scale? The second set of
data plots fine because it doesn't start at zero, but it isn't obvious what
to do with the first set of data. If you just want to make this work, you
can set the left parameter of the first `barh` call to some constant; for
example:
origin = 10**np.floor(np.log10(np.min(data1)))
ax.barh(ind, data1, width, left=origin, linewidth=0, color='blue')
-Tony
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Re: [Matplotlib-users] Horizontal bar chart with log x-axis, no filled boxes
On Thu, Jan 12, 2012 at 11:04 AM, Tony Yu tsy...@gmail.com wrote:
On Thu, Jan 12, 2012 at 11:39 AM, Christophe Pettus x...@thebuild.comwrote:
On Jan 12, 2012, at 7:38 AM, Benjamin Root wrote:
Does everything work correctly if it is vertical? In other words, use
bar() and set the y-axis to log scale? An example script would be useful.
No, it doesn't appear to work as a vertical bar chart, either.
I've attached a test case below. The results I get running it with the
X-axis as log are:
http://thebuild.com/matlabtest/matlabtest-log.pdf
Commenting out the call to ax.set_xscale('log') gives me:
http://thebuild.com/matlabtest/matlabtest.pdf
Thanks!
--
import numpy as np
import matplotlib
from matplotlib.font_manager import FontProperties
import random
matplotlib.use('PDF')
import matplotlib.pyplot as plot
small_font = FontProperties()
small_font.set_size('xx-small')
ind = np.arange(20)
label = [ str(r) for r in ind ]
data1 = [ float(random.random()*1) for r in ind ]
data2 = [ float(random.random()*1) for r in ind ]
width = 0.25
fig = plot.figure()
ax = fig.add_subplot(111)
ax.set_title('Table Title')
ax.set_xlabel('X Label')
ax.barh(ind, data1, width, linewidth=0, color='blue')
ax.barh(ind, data2, width, left=data1, linewidth=0, color='yellow')
ax.set_yticks(ind + width/2)
ax.set_yticklabels(label, fontproperties=small_font)
ax.set_xscale('log')
plot.savefig('matlabtest-log.pdf')
--
-- Christophe Pettus
Isn't this just because zero isn't defined in log scale? The second set of
data plots fine because it doesn't start at zero, but it isn't obvious what
to do with the first set of data. If you just want to make this work, you
can set the left parameter of the first `barh` call to some constant; for
example:
origin = 10**np.floor(np.log10(np.min(data1)))
ax.barh(ind, data1, width, left=origin, linewidth=0, color='blue')
-Tony
Right, but I could have sworn that we got this fixed at some point. There
is logic in the bar() function to detect logscale and handle it
appropriately. But I don't know what is not working here.
Ben Root
--
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Re: [Matplotlib-users] Horizontal bar chart with log x-axis, no filled boxes
On Thu, Jan 12, 2012 at 12:14 PM, Benjamin Root ben.r...@ou.edu wrote:
On Thu, Jan 12, 2012 at 11:04 AM, Tony Yu tsy...@gmail.com wrote:
On Thu, Jan 12, 2012 at 11:39 AM, Christophe Pettus x...@thebuild.comwrote:
On Jan 12, 2012, at 7:38 AM, Benjamin Root wrote:
Does everything work correctly if it is vertical? In other words, use
bar() and set the y-axis to log scale? An example script would be useful.
No, it doesn't appear to work as a vertical bar chart, either.
I've attached a test case below. The results I get running it with the
X-axis as log are:
http://thebuild.com/matlabtest/matlabtest-log.pdf
Commenting out the call to ax.set_xscale('log') gives me:
http://thebuild.com/matlabtest/matlabtest.pdf
Thanks!
--
import numpy as np
import matplotlib
from matplotlib.font_manager import FontProperties
import random
matplotlib.use('PDF')
import matplotlib.pyplot as plot
small_font = FontProperties()
small_font.set_size('xx-small')
ind = np.arange(20)
label = [ str(r) for r in ind ]
data1 = [ float(random.random()*1) for r in ind ]
data2 = [ float(random.random()*1) for r in ind ]
width = 0.25
fig = plot.figure()
ax = fig.add_subplot(111)
ax.set_title('Table Title')
ax.set_xlabel('X Label')
ax.barh(ind, data1, width, linewidth=0, color='blue')
ax.barh(ind, data2, width, left=data1, linewidth=0, color='yellow')
ax.set_yticks(ind + width/2)
ax.set_yticklabels(label, fontproperties=small_font)
ax.set_xscale('log')
plot.savefig('matlabtest-log.pdf')
--
-- Christophe Pettus
Isn't this just because zero isn't defined in log scale? The second set
of data plots fine because it doesn't start at zero, but it isn't obvious
what to do with the first set of data. If you just want to make this work,
you can set the left parameter of the first `barh` call to some constant;
for example:
origin = 10**np.floor(np.log10(np.min(data1)))
ax.barh(ind, data1, width, left=origin, linewidth=0, color='blue')
-Tony
Right, but I could have sworn that we got this fixed at some point. There
is logic in the bar() function to detect logscale and handle it
appropriately. But I don't know what is not working here.
Ben Root
Ahh, I didn't know this. It looks like setting `log=True` in `barh` works.
-Tony
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Re: [Matplotlib-users] Horizontal bar chart with log x-axis, no filled boxes
I think this is because the bar is going from zero to your value, so the left edge of the rectangle becomes log(0). I see this when using the 'k' and 'l' keys to interactively put a histogram on a log scale. Passing in log=True for hist fixes this. I'm sure there's something similar that can be done for bar/barh. G On Thu, Jan 12, 2012 at 7:03 AM, Christophe Pettus x...@thebuild.com wrote: I'm running into something odd in Matplotlib 1.1. In drawing a horizontal bar chart (barh), if the x-axis scale is set to log, the rectangles are not drawn and filled; I just get small ticks at the right-hand position where the rectangle should end. Interestingly, if I add a second, stacked barh to the same axes, that second set of rectangles draws fine, even though the first does not. If I simply comment out the call setting the x axis to log, it works properly. Any thoughts? -- -- Christophe Pettus x...@thebuild.com -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Horizontal bar chart with log x-axis, no filled boxes
On Thu, Jan 12, 2012 at 11:20 AM, Tony Yu tsy...@gmail.com wrote:
On Thu, Jan 12, 2012 at 12:14 PM, Benjamin Root ben.r...@ou.edu wrote:
On Thu, Jan 12, 2012 at 11:04 AM, Tony Yu tsy...@gmail.com wrote:
On Thu, Jan 12, 2012 at 11:39 AM, Christophe Pettus
x...@thebuild.comwrote:
On Jan 12, 2012, at 7:38 AM, Benjamin Root wrote:
Does everything work correctly if it is vertical? In other words,
use bar() and set the y-axis to log scale? An example script would be
useful.
No, it doesn't appear to work as a vertical bar chart, either.
I've attached a test case below. The results I get running it with the
X-axis as log are:
http://thebuild.com/matlabtest/matlabtest-log.pdf
Commenting out the call to ax.set_xscale('log') gives me:
http://thebuild.com/matlabtest/matlabtest.pdf
Thanks!
--
import numpy as np
import matplotlib
from matplotlib.font_manager import FontProperties
import random
matplotlib.use('PDF')
import matplotlib.pyplot as plot
small_font = FontProperties()
small_font.set_size('xx-small')
ind = np.arange(20)
label = [ str(r) for r in ind ]
data1 = [ float(random.random()*1) for r in ind ]
data2 = [ float(random.random()*1) for r in ind ]
width = 0.25
fig = plot.figure()
ax = fig.add_subplot(111)
ax.set_title('Table Title')
ax.set_xlabel('X Label')
ax.barh(ind, data1, width, linewidth=0, color='blue')
ax.barh(ind, data2, width, left=data1, linewidth=0, color='yellow')
ax.set_yticks(ind + width/2)
ax.set_yticklabels(label, fontproperties=small_font)
ax.set_xscale('log')
plot.savefig('matlabtest-log.pdf')
--
-- Christophe Pettus
Isn't this just because zero isn't defined in log scale? The second set
of data plots fine because it doesn't start at zero, but it isn't obvious
what to do with the first set of data. If you just want to make this work,
you can set the left parameter of the first `barh` call to some constant;
for example:
origin = 10**np.floor(np.log10(np.min(data1)))
ax.barh(ind, data1, width, left=origin, linewidth=0, color='blue')
-Tony
Right, but I could have sworn that we got this fixed at some point.
There is logic in the bar() function to detect logscale and handle it
appropriately. But I don't know what is not working here.
Ben Root
Ahh, I didn't know this. It looks like setting `log=True` in `barh` works.
-Tony
D'oh! Of course, I missed that tiny little detail. Hmm, so the
auto-detection would have been useless in this case because the scale of
the axes was set after the fact.
Maybe the log kwarg should be in a more prominent location in the
docstring?
Ben Root
--
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[Matplotlib-users] [Matplotlib] Best way to use the time
I'm recording live data and I want to record at the same moment the time (to plot MyData Vs Time). Do you know the bast way to do it because it exists a lot of different classes for that? Fabien -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] making multi panel figures
I have about 140 lines of code that makes a map. I'd like to turn it into a
program which makes a multiple panel (map) figure. I understand that subplot
will help to do this. Ideally I would like the 140 lines to be like a
subroutine called in a loop. In the current code there are two variable which
would be passed to the subroutine, thetitle and ncfile. These are only two
things different for each panel. So something like:
do irow = 1, 3
do icolumn = 1, 3
call mapping code (thetitle,ncfile)
enddo
enddo
Here is the code. If the above method is not possible, I assume I'll need to
repeat the 140 lines N times, where N is the number of panels.
TIA
Mike
verbose=0 #verbose=2 says a bit more
import sys,getopt
from mpl_toolkits.basemap import Basemap, shiftgrid, cm
#from netCDF3 import Dataset as NetCDFFile
from mpl_toolkits.basemap import NetCDFFile
from pylab import *
#from matplotlib.mlab import csv2rec
alloptions, otherargs= getopt.getopt(sys.argv[1:],'ro:p:X:Y:v:t:l:u:n:') # note
the : after o and p
proj='lam'
#plotfile=None
#plotfile='testmap2.png'
usejetrev=False
colorbounds=[None,None]
extratext=
xvar=None
yvar=None
thevar=None
# Here set map title and the file containing gridded data to plot
thetitle='Map Title'
ncfile = NetCDFFile('simple_xy.nc', 'r') # Here's filename
therec=None
thelev=None
cbot=None
ctop=None
startlon=-180 #default assumption for starting longitude
for theopt,thearg in alloptions:
print theopt,thearg
if theopt=='-o': # -o needs filename after it, which is now thearg
plotfile=thearg
elif theopt=='-p':
proj=thearg
elif theopt=='-X':
xvar=thearg
elif theopt=='-Y':
yvar=thearg
elif theopt=='-v':
thevar=thearg
elif theopt=='-t':
thetitle=thearg
elif theopt=='-l':
cbot=thearg
elif theopt=='-u':
ctop=thearg
elif theopt=='-n':
therec=thearg
elif theopt=='-m':
thelev=thearg
elif theopt=='-r':
usejetrev=True
else: #something went wrong
print hmm, what are these??? , theopt, thearg
sys.exit()
print \nPlotting, please wait...maybe more than 10 seconds
if proj=='lam': #Lambert Conformal
m = Basemap(llcrnrlon=-80.6,llcrnrlat=38.4,urcrnrlon=-66.0,urcrnrlat=47.7,\
resolution='l',area_thresh=1000.,projection='lcc',\
lat_1=65.,lon_0=-73.3)
xtxt=20. #offset for text
ytxt=20.
parallels = arange(38.,48.,2.)
meridians = arange(-80.,-64.,2.)
else: #cylindrical is default
# m = Basemap(llcrnrlon=-180.,llcrnrlat=-90,urcrnrlon=180.,urcrnrlat=90.,\
# resolution='c',area_thresh=1.,projection='cyl')
m =
Basemap(llcrnrlon=startlon,llcrnrlat=-90,urcrnrlon=startlon+360.,urcrnrlat=90.,\
resolution='c',area_thresh=1.,projection='cyl')
xtxt=1.
ytxt=0.
parallels = arange(-90.,90.,30.)
if startlon==-180:
meridians = arange(-180.,180.,60.)
else:
meridians = arange(0.,360.,60.)
if verbose1: print m.__doc__
xsize = rcParams['figure.figsize'][0]
fig=figure(figsize=(xsize,m.aspect*xsize))
#ax = fig.add_axes([0.08,0.1,0.7,0.7],axisbg='white')
ax = fig.add_axes([0.07,0.00,0.86,1.0],axisbg='white')
# make a pcolor plot.
#x, y = m(lons, lats)
#p = m.pcolor(x,y,maskdat,shading='flat',cmap=cmap)
#clim(*colorbounds)
# axes units units are left, bottom, width, height
#cax = axes([0.85, 0.1, 0.05, 0.7]) # colorbar axes for map w/ no graticule
#cax = axes([0.88, 0.1, 0.06, 0.81]) # colorbar axes for map w/ graticule
axes(ax) # make the original axes current again
# Plot symbol at station locations #
# draw coastlines and political boundaries.
m.drawcoastlines()
m.drawcountries()
m.drawstates()
# draw parallels and meridians.
# label on left, right and bottom of map.
#m.drawparallels(parallels,labels=[1,0,0,0])
#m.drawmeridians(meridians,labels=[1,1,0,1])
if not thetitle:
title(thevar+extratext)
else:
title(thetitle)
#data = csv2rec('latlon_GHCN.txt',delimiter=' ',names=['lat','lon'])
#for i in range(len(data)):
# x,y=m(data['lon'][i],data['lat'][i]) # Translate to basemap (Lambert)
coordinate space
## ax.text(x,y,'.')
# plot(x,y,color='black',marker='.',markersize=6.0)
xpt,ypt = m(-75.0,43.0)
ax.text(xpt,ypt,'*')
#if plotfile:
# savefig(plotfile, dpi=72, facecolor='w', bbox_inches='tight',
edgecolor='w', orientation='portrait')
#else:
# show()
#plt.savefig('map.png')
plt.savefig('map.eps')
show()
# comment show to mass produce--
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Re: [Matplotlib-users] Horizontal bar chart with log x-axis, no filled boxes
On Jan 12, 2012, at 9:31 AM, Benjamin Root wrote:
D'oh! Of course, I missed that tiny little detail. Hmm, so the
auto-detection would have been useless in this case because the scale of the
axes was set after the fact.
Maybe the log kwarg should be in a more prominent location in the docstring?
Moving the call to set_xscale('log') to before the calls to barh fixes the
problem nicely... thank you!
--
-- Christophe Pettus
x...@thebuild.com
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Re: [Matplotlib-users] making multi panel figures
Just a quick suggestion for cleaning up your code, please look into the argparse module to make command-line parsing so much easier to use. http://docs.python.org/dev/library/argparse.html Ben Root -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Figure area size questions
My apologies for two totally noob questions, but I can't quite seem to find these in the docs; a pointer would be great... 1. I would like to position a legend outside of the main plot area. The positioning part works great, but the legend is clipped to the pre-existing figure dimensions; how can I expand the figure size horizontally to allow for the legend? (And is there any way of auto-sizing the figure to include all of the stuff within it?) 2. In the horizontal bar chart I previously mentioned, the labels on the ticks on the Y-axis are clipped on the left side, as they are too long to fit into the pre-existing space. What's the best way of allowing more space for the tick labels, either by contracting the chart itself or expanding the figure? Thanks in advance, -- -- Christophe Pettus x...@thebuild.com -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Figure area size questions
On Thu, Jan 12, 2012 at 12:09 PM, Christophe Pettus x...@thebuild.comwrote:
My apologies for two totally noob questions, but I can't quite seem to
find these in the docs; a pointer would be great...
No problem. That is what we are here for.
1. I would like to position a legend outside of the main plot area. The
positioning part works great, but the legend is clipped to the pre-existing
figure dimensions; how can I expand the figure size horizontally to allow
for the legend? (And is there any way of auto-sizing the figure to
include all of the stuff within it?)
This is actually something I deal with regularly. I haven't found a good
solution for the interactive viewing, but when saving a figure to an image
file, you can do something like this (assume that the legend object is
stored in a variable named leg):
fig.savefig('foobar.png, bbox_inches='tight', pad_inches=0.25,
bbox_extra_artists=[leg])
2. In the horizontal bar chart I previously mentioned, the labels on the
ticks on the Y-axis are clipped on the left side, as they are too long to
fit into the pre-existing space. What's the best way of allowing more
space for the tick labels, either by contracting the chart itself or
expanding the figure?
In mpl v1.1.0, we introduced a function called tight_layout which should
help with such things. Admittedly, it would be nice if tight_layout did
something similar to bbox_inches='tight' and accept a list of additional
artist objects to consider, but it does not do that right now.
Cheers!
Ben Root
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Re: [Matplotlib-users] Figure area size questions
On Jan 12, 2012, at 10:18 AM, Benjamin Root wrote:
fig.savefig('foobar.png, bbox_inches='tight', pad_inches=0.25,
bbox_extra_artists=[leg])
[...]
In mpl v1.1.0, we introduced a function called tight_layout which should
help with such things. Admittedly, it would be nice if tight_layout did
something similar to bbox_inches='tight' and accept a list of additional
artist objects to consider, but it does not do that right now.
Both of those worked wonderfully... thanks very much!
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x...@thebuild.com
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Re: [Matplotlib-users] making multi panel figures
On 01/12/12 Ben Root wrote:
Just a quick suggestion for cleaning up your code, please look into the
argparse module to make command-line parsing so much easier to use.
http://docs.python.org/dev/library/argparse.html
Ben Root
Command line parsing? I'm new to python and matplotlib and was given this code
by a colleague. I've managed to make simple modifications. Don't know enough
yet to use the examples in the link you provide.
I've simplified my code as much as possible. The first 50 lines make a map.
The code below that makes a 4 panel graphic. Seems that plt.figure invokes a
new plot window. But plt.semilogy, plt.loglog, and plt.hist do not, keeping the
panels in a single window. This is what I need. Trying now to figure out how to
transfer the fig=plt.figure line into the subplot section, without popping up a
new window.
Mike
verbose=0 #verbose=2 says a bit more
import sys,getopt
from mpl_toolkits.basemap import Basemap, shiftgrid, cm
#from netCDF3 import Dataset as NetCDFFile
from mpl_toolkits.basemap import NetCDFFile
from pylab import *
import matplotlib.pyplot as plt
#fg = plt.figure(figsize=(10,8))
#adj = plt.subplots_adjust(hspace=0.4,wspace=0.4)
#sp = plt.subplot(2,2,1)
# Here set map title and the file containing gridded data to plot
thetitle='Map #1'
ncfile = NetCDFFile('simple_xy.nc', 'r') # Here's filename
startlon=-180 #default assumption for starting longitude
m = Basemap(llcrnrlon=-80.6,llcrnrlat=38.4,urcrnrlon=-66.0,urcrnrlat=47.7,\
resolution='l',area_thresh=1000.,projection='lcc',\
lat_1=65.,lon_0=-73.3)
xtxt=20. #offset for text
ytxt=20.
parallels = arange(38.,48.,2.)
meridians = arange(-80.,-64.,2.)
if verbose1: print m.__doc__
xsize = rcParams['figure.figsize'][0]
fig=plt.figure(figsize=(xsize,m.aspect*xsize))
ax = fig.add_axes([0.07,0.00,0.86,1.0],axisbg='white')
axes(ax) # make the original axes current again
# draw coastlines and political boundaries.
m.drawcoastlines()
m.drawcountries()
m.drawstates()
if not thetitle:
title(thevar+extratext)
else:
title(thetitle)
#plt.show()
##
# Example: http://physics.nmt.edu/~raymond/software/python_notes/paper004.html
sp = plt.subplot(2,2,1)
x = linspace(0,10,101)
y = exp(x)
l1 = plt.semilogy(x,y,color='m',linewidth=2)
sp = plt.subplot(2,2,2)
y = x**-1.67
l1 = plt.loglog(x,y)
sp = plt.subplot(2,2,3)
x = arange(1001)
y = mod(x,2.87)
l1 = plt.hist(y,color='r',rwidth = 0.8)
sp = plt.subplot(2,2,4)
l1 = plt.hist(y,bins=25,normed=True,cumulative=True,orientation='horizontal')
plt.show()
#plt.savefig('map.eps')
Just a quick suggestion for cleaning up your code, please look into the
argparse module to make command-line parsing so much easier to use.--
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Re: [Matplotlib-users] making multi panel figures
On Thu, Jan 12, 2012 at 2:20 PM, Michael Rawlins rawlin...@yahoo.comwrote:
On 01/12/12 Ben Root wrote:
Just a quick suggestion for cleaning up your code, please look into the
argparse module to make command-line parsing so much easier to use.
http://docs.python.org/dev/library/argparse.html
http://docs.python.org/dev/library/argparse.html
Ben Root
Command line parsing? I'm new to python and matplotlib and was given this
code by a colleague. I've managed to make simple modifications. Don't know
enough yet to use the examples in the link you provide.
I've simplified my code as much as possible. The first 50 lines make a
map. The code below that makes a 4 panel graphic. Seems that plt.figure
invokes a new plot window. But plt.semilogy, plt.loglog, and plt.hist do
not, keeping the panels in a single window. This is what I need. Trying now
to figure out how to transfer the fig=plt.figure line into the subplot
section, without popping up a new window.
Mike
Ok, a quick crash course:
A figure can hold one or more axes (or subplots). When using plt,
you can choose to make figures explicitly with the fig = plt.figure()
command or not. The same is true for axes objects. If you call a command
that needs a figure and/or an axes object to have been made and they don't
exist, then they are made for you automatically. Otherwise, the most
recently accessed figure/axes are assumed. This is why plt.hist(),
plt.semilog() and others are not creating a new figure window if one
already existed.
Anyway, for your code, you do not want to bring in the plt.figure() call
into the subploting section. The example you were given takes advantage of
pyplot's implicit syntax (where it is implicitly assumed which axes/figure
object you are using). However, I personally do not like that approach, and
instead decided to show you an explicit style. I created a foobar()
function that takes a blank figure object and other parameters, creates the
four subplot axes and performs drawing on each of them. Note that the
title is for the subplot, not for the figure. If you want a title for the
figure above all the other subplots, use fig.suptitle(). I then have a
loop where a figure is created each time, the foobar() function acts on
that figure, saved and then cleared before the next iteration.
Note, I noticed you had plt.show() commented out before the call to
plt.savefig(). Usually, you will want savefig() to come *before* show()
because closing the figure window will destroy the figure object, resulting
in a blank figure to save if done afterwards.
I hope this is helpful!
Ben Root
verbose=0 #verbose=2 says a bit more
import sys,getopt
from mpl_toolkits.basemap import Basemap, shiftgrid, cm
#from netCDF3 import Dataset as NetCDFFile
from mpl_toolkits.basemap import NetCDFFile
from pylab import *
import matplotlib.pyplot as plt
# Here set map title and the file containing gridded data to plot
thetitle='Map #1'
ncfile = NetCDFFile('simple_xy.nc', 'r') # Here's filename
startlon=-180 #default assumption for starting longitude
m = Basemap(llcrnrlon=-80.6,llcrnrlat=38.4,urcrnrlon=-66.0,urcrnrlat=47.7,\
resolution='l',area_thresh=1000.,projection='lcc',\
lat_1=65.,lon_0=-73.3)
xtxt=20. #offset for text
ytxt=20.
parallels = arange(38.,48.,2.)
meridians = arange(-80.,-64.,2.)
if verbose1: print m.__doc__
xsize = rcParams['figure.figsize'][0]
for fig_index in range(140) :
fig=plt.figure(figsize=(xsize,m.aspect*xsize))
fig.subplots_adjust(hspace=0.4, wspace=0.4)
if not thetitle :
title = thevar + extratext
else :
title = thetitle
foobar(fig, m, title)
fig.savefig(map_%d.eps % fig_index)
plt.clf() # Clears the figure object
def foobar(fig, m, title) :
fig.subplots_adjust(hspace=0.4,wspace=0.4)
ax = fig.add_subplot(2,2,1)
# draw coastlines and political boundaries.
m.drawcoastlines(ax=ax)
m.drawcountries(ax=ax)
m.drawstates(ax=ax)
title(title)
x = linspace(0,10,101)
y = exp(x)
l1 = ax.semilogy(x,y,color='m',linewidth=2)
ax = fig.add_subplot(2,2,2)
y = x**-1.67
l1 = ax.loglog(x,y)
ax = fig.add_subplot(2,2,3)
x = arange(1001)
y = mod(x,2.87)
l1 = ax.hist(y,color='r',rwidth = 0.8)
ax = fig.add_subplot(2,2,4)
l1 =
plt.hist(y,bins=25,normed=True,cumulative=True,orientation='horizontal')
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Re: [Matplotlib-users] making multi panel figures
On 01/12/12 Ben Root wrote: On Thu, Jan 12, 2012 at 2:20 PM, Michael Rawlins rawlin...@yahoo.com wrote: On 01/12/12 Ben Root wrote: Just a quick suggestion for cleaning up your code, please look into the argparse module to make command-line parsing so much easier to use. http://docs.python.org/dev/library/argparse.html Ben Root Command line parsing? I'm new to python and matplotlib and was given this code by a colleague. I've managed to make simple modifications. Don't know enough yet to use the examples in the link you provide. I've simplified my code as much as possible. The first 50 lines make a map. The code below that makes a 4 panel graphic. Seems that plt.figure invokes a new plot window. But plt.semilogy, plt.loglog, and plt.hist do not, keeping the panels in a single window. This is what I need. Trying now to figure out how to transfer the fig=plt.figure line into the subplot section, without popping up a new window. Mike Ok, a quick crash course: A figure can hold one or more axes (or subplots). When using plt, you can choose to make figures explicitly with the fig = plt.figure() command or not. The same is true for axes objects. If you call a command that needs a figure and/or an axes object to have been made and they don't exist, then they are made for you automatically. Otherwise, the most recently accessed figure/axes are assumed. This is why plt.hist(), plt.semilog() and others are not creating a new figure window if one already existed. Anyway, for your code, you do not want to bring in the plt.figure() call into the subploting section. The example you were given takes advantage of pyplot's implicit syntax (where it is implicitly assumed which axes/figure object you are using). However, I personally do not like that approach, and instead decided to show you an explicit style. I created a foobar() function that takes a blank figure object and other parameters, creates the four subplot axes and performs drawing on each of them. Note that the title is for the subplot, not for the figure. If you want a title for the figure above all the other subplots, use fig.suptitle(). I then have a loop where a figure is created each time, the foobar() function acts on that figure, saved and then cleared before the next iteration. Note, I noticed you had plt.show() commented out before the call to plt.savefig(). Usually, you will want savefig() to come *before* show() because closing the figure window will destroy the figure object, resulting in a blank figure to save if done afterwards. I hope this is helpful! Ben Root OK starting to make sense. Yes very helpful. I think what's you've set up might work, provided I can pass a filename for data into the function. At the moment I'm getting an error: NameError: name 'foobar' is not defined for the line with: foobar(fig, m, title) Mike-- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] making multi panel figures
On Thu, Jan 12, 2012 at 4:00 PM, Michael Rawlins rawlin...@yahoo.comwrote: On 01/12/12 Ben Root wrote: On Thu, Jan 12, 2012 at 2:20 PM, Michael Rawlins rawlin...@yahoo.comwrote: On 01/12/12 Ben Root wrote: Just a quick suggestion for cleaning up your code, please look into the argparse module to make command-line parsing so much easier to use. http://docs.python.org/dev/library/argparse.html http://docs.python.org/dev/library/argparse.html Ben Root Command line parsing? I'm new to python and matplotlib and was given this code by a colleague. I've managed to make simple modifications. Don't know enough yet to use the examples in the link you provide. I've simplified my code as much as possible. The first 50 lines make a map. The code below that makes a 4 panel graphic. Seems that plt.figure invokes a new plot window. But plt.semilogy, plt.loglog, and plt.hist do not, keeping the panels in a single window. This is what I need. Trying now to figure out how to transfer the fig=plt.figure line into the subplot section, without popping up a new window. Mike Ok, a quick crash course: A figure can hold one or more axes (or subplots). When using plt, you can choose to make figures explicitly with the fig = plt.figure() command or not. The same is true for axes objects. If you call a command that needs a figure and/or an axes object to have been made and they don't exist, then they are made for you automatically. Otherwise, the most recently accessed figure/axes are assumed. This is why plt.hist(), plt.semilog() and others are not creating a new figure window if one already existed. Anyway, for your code, you do not want to bring in the plt.figure() call into the subploting section. The example you were given takes advantage of pyplot's implicit syntax (where it is implicitly assumed which axes/figure object you are using). However, I personally do not like that approach, and instead decided to show you an explicit style. I created a foobar() function that takes a blank figure object and other parameters, creates the four subplot axes and performs drawing on each of them. Note that the title is for the subplot, not for the figure. If you want a title for the figure above all the other subplots, use fig.suptitle(). I then have a loop where a figure is created each time, the foobar() function acts on that figure, saved and then cleared before the next iteration. Note, I noticed you had plt.show() commented out before the call to plt.savefig(). Usually, you will want savefig() to come *before* show() because closing the figure window will destroy the figure object, resulting in a blank figure to save if done afterwards. I hope this is helpful! Ben Root OK starting to make sense. Yes very helpful. I think what's you've set up might work, provided I can pass a filename for data into the function. At the moment I'm getting an error: NameError: name 'foobar' is not defined for the line with: foobar(fig, m, title) Mike My bad... I put the declaration of the foobar() function after it is called in the script. This isn't an issue if they are in separate scopes, but because def foobar is in the same scope as the call to it, it must have already been declared before it gets called. Just move that function to the area after all the imports. Ben Root -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] making multi panel figures
On 01/12/12 Ben Root wrote: On Thu, Jan 12, 2012 at 4:00 PM, Michael Rawlins rawlin...@yahoo.com wrote: On 01/12/12 Ben Root wrote: On Thu, Jan 12, 2012 at 2:20 PM, Michael Rawlins rawlin...@yahoo.com wrote: On 01/12/12 Ben Root wrote: Just a quick suggestion for cleaning up your code, please look into the argparse module to make command-line parsing so much easier to use. http://docs.python.org/dev/library/argparse.html Ben Root Command line parsing? I'm new to python and matplotlib and was given this code by a colleague. I've managed to make simple modifications. Don't know enough yet to use the examples in the link you provide. I've simplified my code as much as possible. The first 50 lines make a map. The code below that makes a 4 panel graphic. Seems that plt.figure invokes a new plot window. But plt.semilogy, plt.loglog, and plt.hist do not, keeping the panels in a single window. This is what I need. Trying now to figure out how to transfer the fig=plt.figure line into the subplot section, without popping up a new window. Mike Ok, a quick crash course: A figure can hold one or more axes (or subplots). When using plt, you can choose to make figures explicitly with the fig = plt.figure() command or not. The same is true for axes objects. If you call a command that needs a figure and/or an axes object to have been made and they don't exist, then they are made for you automatically. Otherwise, the most recently accessed figure/axes are assumed. This is why plt.hist(), plt.semilog() and others are not creating a new figure window if one already existed. Anyway, for your code, you do not want to bring in the plt.figure() call into the subploting section. The example you were given takes advantage of pyplot's implicit syntax (where it is implicitly assumed which axes/figure object you are using). However, I personally do not like that approach, and instead decided to show you an explicit style. I created a foobar() function that takes a blank figure object and other parameters, creates the four subplot axes and performs drawing on each of them. Note that the title is for the subplot, not for the figure. If you want a title for the figure above all the other subplots, use fig.suptitle(). I then have a loop where a figure is created each time, the foobar() function acts on that figure, saved and then cleared before the next iteration. Note, I noticed you had plt.show() commented out before the call to plt.savefig(). Usually, you will want savefig() to come *before* show() because closing the figure window will destroy the figure object, resulting in a blank figure to save if done afterwards. I hope this is helpful! Ben Root OK starting to make sense. Yes very helpful. I think what's you've set up might work, provided I can pass a filename for data into the function. At the moment I'm getting an error: NameError: name 'foobar' is not defined for the line with: foobar(fig, m, title) Mike My bad... I put the declaration of the foobar() function after it is called in the script. This isn't an issue if they are in separate scopes, but because def foobar is in the same scope as the call to it, it must have already been declared before it gets called. Just move that function to the area after all the imports. Ben Root Thanks for the help. Code throwing another error: Traceback (most recent call last): File panels_testingNEW4.py, line 69, in module foobar(fig, m, title) File panels_testingNEW4.py, line 23, in foobar title(title) TypeError: 'str' object is not callable-- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] making multi panel figures
On Thu, Jan 12, 2012 at 4:32 PM, Michael Rawlins rawlin...@yahoo.comwrote: On 01/12/12 Ben Root wrote: On Thu, Jan 12, 2012 at 4:00 PM, Michael Rawlins rawlin...@yahoo.comwrote: On 01/12/12 Ben Root wrote: On Thu, Jan 12, 2012 at 2:20 PM, Michael Rawlins rawlin...@yahoo.comwrote: On 01/12/12 Ben Root wrote: Just a quick suggestion for cleaning up your code, please look into the argparse module to make command-line parsing so much easier to use. http://docs.python.org/dev/library/argparse.html http://docs.python.org/dev/library/argparse.html Ben Root Command line parsing? I'm new to python and matplotlib and was given this code by a colleague. I've managed to make simple modifications. Don't know enough yet to use the examples in the link you provide. I've simplified my code as much as possible. The first 50 lines make a map. The code below that makes a 4 panel graphic. Seems that plt.figure invokes a new plot window. But plt.semilogy, plt.loglog, and plt.hist do not, keeping the panels in a single window. This is what I need. Trying now to figure out how to transfer the fig=plt.figure line into the subplot section, without popping up a new window. Mike Ok, a quick crash course: A figure can hold one or more axes (or subplots). When using plt, you can choose to make figures explicitly with the fig = plt.figure() command or not. The same is true for axes objects. If you call a command that needs a figure and/or an axes object to have been made and they don't exist, then they are made for you automatically. Otherwise, the most recently accessed figure/axes are assumed. This is why plt.hist(), plt.semilog() and others are not creating a new figure window if one already existed. Anyway, for your code, you do not want to bring in the plt.figure() call into the subploting section. The example you were given takes advantage of pyplot's implicit syntax (where it is implicitly assumed which axes/figure object you are using). However, I personally do not like that approach, and instead decided to show you an explicit style. I created a foobar() function that takes a blank figure object and other parameters, creates the four subplot axes and performs drawing on each of them. Note that the title is for the subplot, not for the figure. If you want a title for the figure above all the other subplots, use fig.suptitle(). I then have a loop where a figure is created each time, the foobar() function acts on that figure, saved and then cleared before the next iteration. Note, I noticed you had plt.show() commented out before the call to plt.savefig(). Usually, you will want savefig() to come *before* show() because closing the figure window will destroy the figure object, resulting in a blank figure to save if done afterwards. I hope this is helpful! Ben Root OK starting to make sense. Yes very helpful. I think what's you've set up might work, provided I can pass a filename for data into the function. At the moment I'm getting an error: NameError: name 'foobar' is not defined for the line with: foobar(fig, m, title) Mike My bad... I put the declaration of the foobar() function after it is called in the script. This isn't an issue if they are in separate scopes, but because def foobar is in the same scope as the call to it, it must have already been declared before it gets called. Just move that function to the area after all the imports. Ben Root Thanks for the help. Code throwing another error: Traceback (most recent call last): File panels_testingNEW4.py, line 69, in module foobar(fig, m, title) File panels_testingNEW4.py, line 23, in foobar title(title) TypeError: 'str' object is not callable Oh, right, the creation of the title variable got rid of the existing function. Just do ax.set_title(title) instead. Ben Root -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
