Re: [Matplotlib-users] Issues with imshow
On Monday 29 March 2010 01:51:30 Sunman wrote: Hello, I am trying to use the imshow() function for a 2-dimensional array. However, I am having issues with the following: When the array is perfectly square the image looks like this: http://old.nabble.com/file/p28063442/Plot2.png but when it is not it looks like this: http://old.nabble.com/file/p28063442/Plot.png Is there any way I can line up the image for a rectangular array so that its in the top left corner? Hi, I'm not really sure I get your point, but you can try to play with the placement of the used subplot ``axes(rect)`` where *rect* = [left, bottom, width, height] in normalized (0, 1) units. e.g. ax = plt.axes([0.1, 0.2, 0.8, 0.6]) and with the kwargs of imshow (extent: limits of the picture and aspect : [ None | 'auto' | 'equal' | scalar ] ) e.g. a = np.arange(35).reshape(7, 5) ax.imshow(a, interpolation='nearest', extent=(0.0, 1.0, 0.0, 1.0), aspect='auto', origin='lower') Kind regards, Matthias -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] matshow / imshow with date-axis
Hi, is it possible to perform a surface plot a NxM matrix with date-axes? Similar to plot_date for 1D-Plots. The dates are available as an N-sized (or M-sized) array of float values. At the moment, I am using imshow or matshow for the color plots, but the only way I found to manipulate the axes is the 'extent' keyword argument, which is not sufficient in this context. Any hints? Micha -- View this message in context: http://old.nabble.com/matshow---imshow-with-date-axis-tp28068228p28068228.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Making a data-driven colormap
I once had a similar issue. I solved it like this. It takes the minimum and
maximum of the data and returns a colormap: Zero: White, Positive values:
blue, Negative values: red.
def mxcmap(_min,_max):
if _min = 0 and _max = 0:
cdict = {'red': ((0.0, 1.0, 1.0),
(1.0, 0.0, 0.0)),
'green': ((0.0, 1.0, 1.0),
(1.0, 0.0, 0.0)),
'blue': ((0.0, 1.0, 1.0),
(1.0, 1.0, 1.0))}
elif _min = 0 and _max = 0:
cdict = {'red': ((0.0, 1.0, 1.0),
(1.0, 1.0, 1.0)),
'green': ((0.0, 0.0, 0.0),
(1.0, 1.0, 1.0)),
'blue': ((0.0, 0.0, 0.0),
(1.0, 1.0, 1.0))}
else:
full_red = 1
full_blue = 1
if -_min _max:
full_blue = -float(_max)/_min
else:
full_red = -float(_min)/_max
zero = 0.5-((_max+_min)/2.)/(_max-_min)
cdict = {'red': ((0.0, 1.0, 1.0),
(zero, 1.0, 1.0),
(1.0, 1-full_blue, 1-full_blue)),
'green': ((0.0, 1-full_red, 1-full_red),
(zero, 1.0, 1.0),
(1.0, 1-full_blue, 1-full_blue)),
'blue': ((0.0, 1-full_red, 1-full_red),
(zero,1.0, 1.0),
(1.0, 1.0, 1.0))}
return
pylab.matplotlib.colors.LinearSegmentedColormap('my_colormap',cdict,256)
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Re: [Matplotlib-users] colorbar.Colorbar ticking
2010/3/29 Eric Firing efir...@hawaii.edu: It already has this. You can pass in a custom locator or set of tick locations via the ticks kwarg, but if you don't, a locator is chosen automatically. Except in special cases, this will be a MaxNLocator. See the ColorbarBase._ticker method. Ah, thanks, It escaped my notice that there is a toplevel if self.locator is None: statement ... ok. Ah, maybe what you mean is a text option to the ticks kwarg that would specify MaxNLocator without requiring one to instantiate a MaxNLocator? I don't think this makes sense for the case when boundaries are specified explicitly. No, what I intended is exactly what you pointed out. Btw, can you tell me what the *values* kwarg's semantic is? I guess, it shall be the center values of the values displayed, but then the implementation for this in ColorbarBase._process_values() would be broken. Friedrich P.S.: I assume you have be caught by the misconfiguration of the list that the sender is used as the default recipient, so I post back to the list? -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] MacOS 10.6 install dependency building fails (r8214)
Hello, It looks like the zlib website removes previous version of its library that were previously available for download, so the part in make.osx where http://www.zlib.net/zlib-1.2.3.tar.gz is fetched now fails (since the current version is 1.2.4). The error in the matplotlib building is not explicit enough (incorrect archive type) - maybe one could catch such 404s and print out an error suggesting to increase the ZLIBVERSION variable? I tried changing ZLIBVERSION to 1.2.4 and the following occurs when building zlib: ... gcc -arch i386 -arch x86_64 -I/Users/tom/install/include -I/Users/tom/install/include/freetype2 -isysroot /Developer/SDKs/MacOSX10.6.sdk -c -o inftrees.o inftrees.c gcc -arch i386 -arch x86_64 -I/Users/tom/install/include -I/Users/tom/install/include/freetype2 -isysroot /Developer/SDKs/MacOSX10.6.sdk -c -o trees.o trees.c gcc -arch i386 -arch x86_64 -I/Users/tom/install/include -I/Users/tom/install/include/freetype2 -isysroot /Developer/SDKs/MacOSX10.6.sdk -c -o uncompr.o uncompr.c gcc -arch i386 -arch x86_64 -I/Users/tom/install/include -I/Users/tom/install/include/freetype2 -isysroot /Developer/SDKs/MacOSX10.6.sdk -c -o zutil.o zutil.c make[1]: *** No rule to make target `libz.dylib', needed by `install-libs'. Stop. make[1]: *** Waiting for unfinished jobs make: *** [zlib] Error 2 If I manually go to the zlib directory and type make, it builds without a problem, so it looks like there is some kind of problem in the make.osx script. Thanks in advance for any help, Thomas -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Making a data-driven colormap
2010/3/29 Friedrich Romstedt friedrichromst...@gmail.com: Note that the ticking is a bit weird, there is also a bug in matplotlib I will report on right after this e-mail, whose bugfix you will maybe want to apply to get ticking properly working. When you have insane values for C.min() and C.max() anyway, I'm afraid you have to retick manually with *ticks* to colorbar(). The ticker.MaxNLocator is only used when not using the *boundaries* arg to colorbar(), unfortunately. Otherwise it tries to create maximal many and less than 11 ticks by using the lowest value and an appropriate step in *boundaries*. I think the implementation of ticking is cumbersome and never optimal. You can get rid of this night mare by giving the kwarg ticks = matplotlib.ticker.MaxNLocator() to fig.colorbar(). Then the *boundaries* aren't used for ticking (but still for plotting). Friedrich -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] colorbar.Colorbar ticking
Friedrich Romstedt wrote: 2010/3/29 Eric Firing efir...@hawaii.edu: It already has this. You can pass in a custom locator or set of tick locations via the ticks kwarg, but if you don't, a locator is chosen automatically. Except in special cases, this will be a MaxNLocator. See the ColorbarBase._ticker method. Ah, thanks, It escaped my notice that there is a toplevel if self.locator is None: statement ... ok. Ah, maybe what you mean is a text option to the ticks kwarg that would specify MaxNLocator without requiring one to instantiate a MaxNLocator? I don't think this makes sense for the case when boundaries are specified explicitly. No, what I intended is exactly what you pointed out. Btw, can you tell me what the *values* kwarg's semantic is? I guess, it shall be the center values of the values displayed, but then the implementation for this in ColorbarBase._process_values() would be broken. The ColorbarBase simply makes a strip of colored blocks, with their sizes and locations determined by the boundaries kwarg (together with the spacing kwarg) and their colors determined from the values kwarg via color mapping. If either or both of these kwargs is None, the boundaries and/or values will be generated in _process_values. The use of the non-default values kwarg is illustrated by the special-case handling of colorbars for contouring in the Colorbar class. Can you give a test case showing a problem with _process_values? Friedrich P.S.: I assume you have be caught by the misconfiguration of the list that the sender is used as the default recipient, so I post back to the list? The mpl lists have been unusual (at least compared to lists for numpy, scipy, and cython) in this respect for years. Usually I remember to reply to all, but you are right--this time I goofed. Eric -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] matshow / imshow with date-axis
On Monday 29 March 2010 13:56:51 Atomfried wrote: Hi, is it possible to perform a surface plot a NxM matrix with date-axes? Similar to plot_date for 1D-Plots. The dates are available as an N-sized (or M-sized) array of float values. At the moment, I am using imshow or matshow for the color plots, but the only way I found to manipulate the axes is the 'extent' keyword argument, which is not sufficient in this context. Any hints? Micha Hi Micha, Did you already set the date-xaxis by hand? - for axes 'ax' using e.g. ax.xaxis_date(tz=None) ax.yaxis_date(tz=None) I would hope that extent and this together yield your aim, but I'm not so familiar with date-axes. Kind regards, Mattthias -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] matshow / imshow with date-axis
Hi Matthias, Thanks for the help. The problem is, however, that the 'extent' parameter only manipulates the range of the (integer) values on the axis. Before setting the *axis_date property, I need to set the axes data to arrays of (non-equidistant) floats. Best Regards, Micha Matthias Michler wrote: Did you already set the date-xaxis by hand? - for axes 'ax' using e.g. ax.xaxis_date(tz=None) ax.yaxis_date(tz=None) -- View this message in context: http://old.nabble.com/matshow---imshow-with-date-axis-tp28068228p28070890.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Copying collections over to a new figure
Hello,
In the following example, I am trying to copy over existing collections from
one plot to another:
import matplotlib.pyplot as mpl
fig = mpl.figure()
ax1 = fig.add_subplot(1,1,1)
ax1.scatter([0.5],[0.5])
fig.savefig('test1.png')
fig = mpl.figure()
ax2 = fig.add_subplot(1,1,1)
for c in ax1.collections:
ax2.add_collection(c)
fig.savefig('test2.png')
However, the circle appears in the wrong place in test2.png (close to 0.4, 0.4
instead of 0.5,0.5). Is it not possible/safe to copy over collections in this
way? If not, then how should this be done?
Thanks,
Thomas
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Re: [Matplotlib-users] Copying collections over to a new figure
As far as I can say, moving around artists from one axes to the other
is NOT recommended. And I encourage you to create separate artists for
each axes rather than try to reuse the existing ones.
For your particular example,
fig = mpl.figure()
ax2 = fig.add_subplot(1,1,1)
for c in ax1.collections:
c._transOffset=ax2.transData
ax2.add_collection(c)
should work.
Regards,
-JJ
On Mon, Mar 29, 2010 at 12:24 PM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hello,
In the following example, I am trying to copy over existing collections from
one plot to another:
import matplotlib.pyplot as mpl
fig = mpl.figure()
ax1 = fig.add_subplot(1,1,1)
ax1.scatter([0.5],[0.5])
fig.savefig('test1.png')
fig = mpl.figure()
ax2 = fig.add_subplot(1,1,1)
for c in ax1.collections:
ax2.add_collection(c)
fig.savefig('test2.png')
However, the circle appears in the wrong place in test2.png (close to 0.4,
0.4 instead of 0.5,0.5). Is it not possible/safe to copy over collections in
this way? If not, then how should this be done?
Thanks,
Thomas
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[Matplotlib-users] problem with minorticks
Dear All,
I want to make minor ticks working in following program.
Here only major ticks are dis[played in grpah though i have declared the
minor ticks
minorticks_on() doesnt work in my code. How to fix that.Please help me
out.Thanks in advance '
Regards
Yogesh
from numpy import *
from scipy import *
from scipy import signal, misc
import sys,time,os,gc
import matplotlib
import matplotlib.pyplot as plt
from numpy.random import *
from pylab import plot, show, ylim, yticks,xlim
from pylab import *
x=loadtxt('/home/jaguar/Desktop/45.txt')
x=x[0:1399]
y=arange(len(x))
plt.figure(2)
plt.plot(y,x,'k-')
#minorticks_on()
grid(True)#, color=r, ls=-)
gca().xaxis.grid(True, which=minor, color=r)
#gca().yaxis.grid(True, which='minor')
#grid(True, which=minor, color=r)
show()#l
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Re: [Matplotlib-users] Copying collections over to a new figure
Hi Jae-Joon,
Thanks for your quick reply! Since for example LineCollections can be created
independent of the Axes in which they are going to be plotted through the
creation of a LineCollection instance, would it not be possible to have a
method that allows one to retrieve an Axes-independent LineCollection from an
Axes instance? (for example a get_collection method) This would then allow one
to 'recycle' existing collections.
Cheers,
Thomas
On Mar 29, 2010, at 1:40 PM, Jae-Joon Lee wrote:
As far as I can say, moving around artists from one axes to the other
is NOT recommended. And I encourage you to create separate artists for
each axes rather than try to reuse the existing ones.
For your particular example,
fig = mpl.figure()
ax2 = fig.add_subplot(1,1,1)
for c in ax1.collections:
c._transOffset=ax2.transData
ax2.add_collection(c)
should work.
Regards,
-JJ
On Mon, Mar 29, 2010 at 12:24 PM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hello,
In the following example, I am trying to copy over existing collections from
one plot to another:
import matplotlib.pyplot as mpl
fig = mpl.figure()
ax1 = fig.add_subplot(1,1,1)
ax1.scatter([0.5],[0.5])
fig.savefig('test1.png')
fig = mpl.figure()
ax2 = fig.add_subplot(1,1,1)
for c in ax1.collections:
ax2.add_collection(c)
fig.savefig('test2.png')
However, the circle appears in the wrong place in test2.png (close to 0.4,
0.4 instead of 0.5,0.5). Is it not possible/safe to copy over collections in
this way? If not, then how should this be done?
Thanks,
Thomas
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[Matplotlib-users] Is scatter method's linestyles keyword argument being ignored (in SVN)?
Hi, When using scatter plotting method and linestyles argument the output seems to ignore the linestyles keyword value at least in SVN. Can someone confirm this or did I misunderstood the functionality? I am trying to make a plot where the colour of the line changes as a function of data value, but I don't want that each point (marker) is plotted separately, but that the colour changes smoothly. I believe scatter method could be used when optional arguments c = values and linestyles = 'solid' are used. However, independent what the linestyles argument value is, I always get the markers plotted and no line appears. Cheers, Sami Example code (markers, but no solid line!?): import numpy as np import pylab as p data = np.arange(10) p.scatter(data, data, c = data, s = data*10, linestyles = 'solid') -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] simple example using Basemap in a gtk app??
Hi Anyone have an example? I found some older examples which no longer work. TIA Mathew For grins The following does not work. I've tried many different variations ... import matplotlib.pyplot as plt import gtk from mpl_toolkits.basemap import Basemap import matplotlib from matplotlib.figure import Figure fig=plt.Figure() ax=fig.add_subplot(111) m = Basemap(llcrnrlon=1, \ llcrnrlat=40.6, \ urcrnrlon=8.8, \ urcrnrlat = 49.6, \ projection = 'tmerc', \ lon_0 = 4.9, \ lat_0 = 45.1,ax=ax) from matplotlib.backends.backend_gtkagg import \ FigureCanvasGTKAgg as FigureCanvas canvas = FigureCanvas(fig) m.drawcoastlines(color='gray') m.drawcountries(color='gray') m.fillcontinents(color='beige') builder = gtk.Builder() builder.add_from_file(fluxtool.glade) window1=builder.get_object(window1) window1.connect(destroy, lambda x: gtk.main_quit()) vbox=builder.get_object(vbox1) vbox.pack_start(canvas) window1.show() gtk.main() -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Is scatter method's linestyles keyword argument being ignored (in SVN)?
Sami-Matias Niemi wrote: Hi, When using scatter plotting method and linestyles argument the output seems to ignore the linestyles keyword value at least in SVN. Can someone confirm this or did I misunderstood the functionality? Yes, scatter is designed to plot markers only, and it does ignore the linestyles kw. I am trying to make a plot where the colour of the line changes as a function of data value, but I don't want that each point (marker) is plotted separately, but that the colour changes smoothly. I believe scatter method could be used when optional arguments c = values and linestyles = 'solid' are used. However, independent what the linestyles argument value is, I always get the markers plotted and no line appears. We don't have anything that gives this behavior directly, but it can be simulated with a LineCollection. See http://www.scipy.org/Cookbook/Matplotlib/MulticoloredLine. Eric Cheers, Sami Example code (markers, but no solid line!?): import numpy as np import pylab as p data = np.arange(10) p.scatter(data, data, c = data, s = data*10, linestyles = 'solid') -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] simple example using Basemap in a gtk app??
I don't understand why the following fails. fig = Figure(figsize=(5,5), dpi=100) canvas = FigureCanvas(fig) ax = fig.add_subplot(111) m = Basemap(resolution='c',projection='cyl',lon_0=0,ax=ax) m.drawcoastlines(color='gray',ax=ax) fails with mpl_toolkits\basemap\__init__.pyc in set_axes_limits 2531 if is_interactive(): 2532 figManager = _pylab_helpers.Gcf.get_active() - 2533 figManager.canvas.draw() AttributeError: 'NoneType' object has no attribute 'canvas' Why isn't my figure being set as active?? Mathew On Mon, Mar 29, 2010 at 11:12 AM, Yeates, Mathew C (388D) mathew.c.yea...@jpl.nasa.gov wrote: Hi Anyone have an example? I found some older examples which no longer work. TIA Mathew For grins …. The following does not work. I’ve tried many different variations … import matplotlib.pyplot as plt import gtk from mpl_toolkits.basemap import Basemap import matplotlib from matplotlib.figure import Figure fig=plt.Figure() ax=fig.add_subplot(111) m = Basemap(llcrnrlon=1, \ llcrnrlat=40.6, \ urcrnrlon=8.8, \ urcrnrlat = 49.6, \ projection = 'tmerc', \ lon_0 = 4.9, \ lat_0 = 45.1,ax=ax) from matplotlib.backends.backend_gtkagg import \ FigureCanvasGTKAgg as FigureCanvas canvas = FigureCanvas(fig) m.drawcoastlines(color='gray') m.drawcountries(color='gray') m.fillcontinents(color='beige') builder = gtk.Builder() builder.add_from_file(fluxtool.glade) window1=builder.get_object(window1) window1.connect(destroy, lambda x: gtk.main_quit()) vbox=builder.get_object(vbox1) vbox.pack_start(canvas) window1.show() gtk.main() -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] simple example using Basemap in a gtk app??
Solved. Sort of. If I run using python it works. It fails if I run using ipython with --pylab. On Mon, Mar 29, 2010 at 3:46 PM, Mathew Yeates mat.yea...@gmail.com wrote: I don't understand why the following fails. fig = Figure(figsize=(5,5), dpi=100) canvas = FigureCanvas(fig) ax = fig.add_subplot(111) m = Basemap(resolution='c',projection='cyl',lon_0=0,ax=ax) m.drawcoastlines(color='gray',ax=ax) fails with mpl_toolkits\basemap\__init__.pyc in set_axes_limits 2531 if is_interactive(): 2532 figManager = _pylab_helpers.Gcf.get_active() - 2533 figManager.canvas.draw() AttributeError: 'NoneType' object has no attribute 'canvas' Why isn't my figure being set as active?? Mathew On Mon, Mar 29, 2010 at 11:12 AM, Yeates, Mathew C (388D) mathew.c.yea...@jpl.nasa.gov wrote: Hi Anyone have an example? I found some older examples which no longer work. TIA Mathew For grins …. The following does not work. I’ve tried many different variations … import matplotlib.pyplot as plt import gtk from mpl_toolkits.basemap import Basemap import matplotlib from matplotlib.figure import Figure fig=plt.Figure() ax=fig.add_subplot(111) m = Basemap(llcrnrlon=1, \ llcrnrlat=40.6, \ urcrnrlon=8.8, \ urcrnrlat = 49.6, \ projection = 'tmerc', \ lon_0 = 4.9, \ lat_0 = 45.1,ax=ax) from matplotlib.backends.backend_gtkagg import \ FigureCanvasGTKAgg as FigureCanvas canvas = FigureCanvas(fig) m.drawcoastlines(color='gray') m.drawcountries(color='gray') m.fillcontinents(color='beige') builder = gtk.Builder() builder.add_from_file(fluxtool.glade) window1=builder.get_object(window1) window1.connect(destroy, lambda x: gtk.main_quit()) vbox=builder.get_object(vbox1) vbox.pack_start(canvas) window1.show() gtk.main() -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Making a data-driven colormap
Hi -
I ended up with the code below, using Chloe's previously posted
'subcolormap' and, in order to make the colorbar nicely attached to the main
imshow plot, I use make_axes_locatable in order to generate the colorbar
axes. I tried it out with a couple of use-cases and it seems to do what it
is supposed to, (with ticks only for the edges of the range of the data and
0, if that is within that range), but I am not entirely sure. Do you think
it works?
Cheers,
Ariel
from mpl_toolkits.axes_grid import make_axes_locatable
fig=plt.figure()
ax_im = fig.add_subplot(1,1,1)
divider = make_axes_locatable(ax_im)
ax_cb = divider.new_vertical(size=20%, pad=0.2, pack_start=True)
fig.add_axes(ax_cb)
#Extract the minimum and maximum values for scaling of the
colormap/colorbar:
max_val = np.max(m[np.where(m1)])
min_val = np.min(m)
#This makes sure that 0 is always the center of the colormap:
if min_val-max_val:
ax_max = -min_val
ax_min = min_val
else:
ax_max = max_val
ax_min = -max_val
#Keyword args to imshow:
kw = {'origin': 'upper',
'interpolation': 'nearest',
'cmap':cmap,
'vmin':ax_min,
'vmax':ax_max}
im=ax_im.imshow(m,**kw)
#The following produces the colorbar and sets the ticks
if colorbar:
delta = ax_max-ax_min #The size of the entire interval of data
min_p = (min_val-ax_min)/delta
max_p = (max_val-ax_min)/delta
print min_p
print max_p
cnorm = mpl.colors.Normalize(vmin=min_val,vmax=max_val)
subcmap = subcolormap(min_p,max_p,cmap)
cb = mpl.colorbar.ColorbarBase(ax_cb, cmap=subcmap,
orientation='horizontal',norm=cnorm)
#Set the ticks - if 0 is in the interval of values, set that, as
well
#as the maximal and minimal values:
if min_val0:
cb.set_ticks([min_val,0,max_val])
cb.set_ticklabels(['%.2f'%min_val,'0','%.2f'%max_val])
#Otherwise - only set the minimal and maximal value:
else:
cb.set_ticks([min_val,max_val])
cb.set_ticklabels(['%.2f'%min_val,'%.2f'%max_val])
On Mon, Mar 29, 2010 at 6:41 AM, Friedrich Romstedt
friedrichromst...@gmail.com wrote:
2010/3/29 Friedrich Romstedt friedrichromst...@gmail.com:
Note that the ticking is a bit weird, there is also a bug in
matplotlib I will report on right after this e-mail, whose bugfix you
will maybe want to apply to get ticking properly working. When you
have insane values for C.min() and C.max() anyway, I'm afraid you have
to retick manually with *ticks* to colorbar(). The ticker.MaxNLocator
is only used when not using the *boundaries* arg to colorbar(),
unfortunately. Otherwise it tries to create maximal many and less
than 11 ticks by using the lowest value and an appropriate step in
*boundaries*. I think the implementation of ticking is cumbersome and
never optimal.
You can get rid of this night mare by giving the kwarg ticks =
matplotlib.ticker.MaxNLocator() to fig.colorbar(). Then the
*boundaries* aren't used for ticking (but still for plotting).
Friedrich
--
Ariel Rokem
Helen Wills Neuroscience Institute
University of California, Berkeley
http://argentum.ucbso.berkeley.edu/ariel
--
Download Intel#174; Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev___
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