Re: [Matplotlib-users] Basemap continent colors
Jeff - That's great, thanks! For future releases, is there a reason why
fillcontinents() couldn't do the logic for the user - i.e., if the continent
fills the figure, paint it with the user's desired color? I think that's less
surprising than the way it works now.
--Mike
On May 11, 2010, at 2:22 PM, Jeff Whitaker wrote:
On 5/11/10 8:02 AM, Michael Hearne wrote:
Jeff - Thanks. Is there an easy way you know of to detect when there are no
continent boundaries? I'm making these maps automatically, and so will not
have the luxury of examining them to see where they are.
--Mike
Mike: Unfortunately, there is no easy way to check since those computations
are only done when you call fillcontinents. Here's a function that follows
the logic in fillcontinents:
def all_land(map):
for poly,type in zip(map.coastpolygons, map.coastpolygontypes):
if type == 1:
x, y = poly
xa = np.array(x,np.float32)
ya = np.array(y,np.float32)
# check to see if all four corners of domain in polygon (if so,
# don't draw since it will just fill in the whole map).
delx = 10; dely = 10
if map.projection in ['cyl']:
delx = 0.1
dely = 0.1
test1 = np.fabs(xa-map.urcrnrx) delx
test2 = np.fabs(xa-map.llcrnrx) delx
test3 = np.fabs(ya-map.urcrnry) dely
test4 = np.fabs(ya-map.llcrnry) dely
hasp1 = np.sum(test1*test3)
hasp2 = np.sum(test2*test3)
hasp4 = np.sum(test2*test4)
hasp3 = np.sum(test1*test4)
if not hasp1 or not hasp2 or not hasp3 or not hasp4:
allin = False
else:
allin = True
return allin
If you pass this function the basemap instance, it should return True if no
coastline polygons will be drawn.
-Jeff
On May 10, 2010, at 2:57 PM, Jeff Whitaker wrote:
On 5/10/10 2:21 PM, Michael Hearne wrote:
I have found a (possible) bug in Basemap - when using
basemap.fillcontinents(), I see the chosen continent color only when the
map I create includes some ocean. If I am in the interior of a continent
(I've tested with North America and Asia), the continent color is white.
Michael: If there are no continent boundaries inside the map projection
region, basemap does not draw anything (hence you see the axis background
color). In that case, you should just set the axis background color to
whatever you wanted the continent color to be.
-Jeff
A code sample is below. My version information:
Basemap: 0.99.4
Matplotlib: 0.99.1.1
numpy: 1.4.0
Python: 2.6.4
To replicate my results, please try the following:
./maptest.py 37.894507 -121.816406 #map center is somewhere in the Bay
Area in California
./maptest.py 41.880332 -100.47821 #map center is somewhere in Nebraska
The script creates a file called output.png in the calling directory.
In the California case, I see the ocean as blue, and the land as a sort of
annoying salmon color. In the Nebraska case, I see white with blue
denoting the various rivers and lakes in the area.
Am I mis-using the basemap method calls in some way?
Thanks,
Mike
#!/usr/bin/env python
import matplotlib
#use the non-interactive matplotlib setting
matplotlib.use('agg')
from mpl_toolkits.basemap import Basemap
import numpy as np
from pylab import *
import sys
clat = float(sys.argv[1])
clon = float(sys.argv[2])
figwidth = 5.4
bounds = (clon-4, clon+4, clat-4, clat+4)
dx = (bounds[1] - bounds[0])*91 * np.cos(clat * np.pi/180)
dy = (bounds[3] - bounds[2])*91
aspect = dy/dx
figheight = aspect * figwidth
fig = figure(figsize=(figwidth,figheight),edgecolor='g',facecolor='g')
ax1 = fig.add_axes([0,0,1.0,1.0])
mapcontour = Basemap(llcrnrlon=bounds[0],llcrnrlat=bounds[2],
urcrnrlon=bounds[1],urcrnrlat=bounds[3],
resolution='h',projection='merc',lat_ts=clat)
water_color = [.47,.60,.81]
mapcontour.drawrivers(color=water_color)
mapcontour.drawcountries(color='k',linewidth=2.0)
mapcontour.drawcoastlines()
mapcontour.fillcontinents(color=[1.0,0.8,0.8],lake_color=water_color)
plt.savefig('output.png')
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Re: [Matplotlib-users] Basemap continent colors
Jeff - Thanks. Is there an easy way you know of to detect when there are no
continent boundaries? I'm making these maps automatically, and so will not
have the luxury of examining them to see where they are.
--Mike
On May 10, 2010, at 2:57 PM, Jeff Whitaker wrote:
On 5/10/10 2:21 PM, Michael Hearne wrote:
I have found a (possible) bug in Basemap - when using
basemap.fillcontinents(), I see the chosen continent color only when the map
I create includes some ocean. If I am in the interior of a continent (I've
tested with North America and Asia), the continent color is white.
Michael: If there are no continent boundaries inside the map projection
region, basemap does not draw anything (hence you see the axis background
color). In that case, you should just set the axis background color to
whatever you wanted the continent color to be.
-Jeff
A code sample is below. My version information:
Basemap: 0.99.4
Matplotlib: 0.99.1.1
numpy: 1.4.0
Python: 2.6.4
To replicate my results, please try the following:
./maptest.py 37.894507 -121.816406 #map center is somewhere in the Bay Area
in California
./maptest.py 41.880332 -100.47821 #map center is somewhere in Nebraska
The script creates a file called output.png in the calling directory. In
the California case, I see the ocean as blue, and the land as a sort of
annoying salmon color. In the Nebraska case, I see white with blue denoting
the various rivers and lakes in the area.
Am I mis-using the basemap method calls in some way?
Thanks,
Mike
#!/usr/bin/env python
import matplotlib
#use the non-interactive matplotlib setting
matplotlib.use('agg')
from mpl_toolkits.basemap import Basemap
import numpy as np
from pylab import *
import sys
clat = float(sys.argv[1])
clon = float(sys.argv[2])
figwidth = 5.4
bounds = (clon-4, clon+4, clat-4, clat+4)
dx = (bounds[1] - bounds[0])*91 * np.cos(clat * np.pi/180)
dy = (bounds[3] - bounds[2])*91
aspect = dy/dx
figheight = aspect * figwidth
fig = figure(figsize=(figwidth,figheight),edgecolor='g',facecolor='g')
ax1 = fig.add_axes([0,0,1.0,1.0])
mapcontour = Basemap(llcrnrlon=bounds[0],llcrnrlat=bounds[2],
urcrnrlon=bounds[1],urcrnrlat=bounds[3],
resolution='h',projection='merc',lat_ts=clat)
water_color = [.47,.60,.81]
mapcontour.drawrivers(color=water_color)
mapcontour.drawcountries(color='k',linewidth=2.0)
mapcontour.drawcoastlines()
mapcontour.fillcontinents(color=[1.0,0.8,0.8],lake_color=water_color)
plt.savefig('output.png')
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[Matplotlib-users] Basemap continent colors
I have found a (possible) bug in Basemap - when using
basemap.fillcontinents(), I see the chosen continent color only when the map I
create includes some ocean. If I am in the interior of a continent (I've
tested with North America and Asia), the continent color is white.
A code sample is below. My version information:
Basemap: 0.99.4
Matplotlib: 0.99.1.1
numpy: 1.4.0
Python: 2.6.4
To replicate my results, please try the following:
./maptest.py 37.894507 -121.816406 #map center is somewhere in the Bay Area in
California
./maptest.py 41.880332 -100.47821 #map center is somewhere in Nebraska
The script creates a file called output.png in the calling directory. In the
California case, I see the ocean as blue, and the land as a sort of annoying
salmon color. In the Nebraska case, I see white with blue denoting the various
rivers and lakes in the area.
Am I mis-using the basemap method calls in some way?
Thanks,
Mike
#!/usr/bin/env python
import matplotlib
#use the non-interactive matplotlib setting
matplotlib.use('agg')
from mpl_toolkits.basemap import Basemap
import numpy as np
from pylab import *
import sys
clat = float(sys.argv[1])
clon = float(sys.argv[2])
figwidth = 5.4
bounds = (clon-4, clon+4, clat-4, clat+4)
dx = (bounds[1] - bounds[0])*91 * np.cos(clat * np.pi/180)
dy = (bounds[3] - bounds[2])*91
aspect = dy/dx
figheight = aspect * figwidth
fig = figure(figsize=(figwidth,figheight),edgecolor='g',facecolor='g')
ax1 = fig.add_axes([0,0,1.0,1.0])
mapcontour = Basemap(llcrnrlon=bounds[0],llcrnrlat=bounds[2],
urcrnrlon=bounds[1],urcrnrlat=bounds[3],
resolution='h',projection='merc',lat_ts=clat)
water_color = [.47,.60,.81]
mapcontour.drawrivers(color=water_color)
mapcontour.drawcountries(color='k',linewidth=2.0)
mapcontour.drawcoastlines()
mapcontour.fillcontinents(color=[1.0,0.8,0.8],lake_color=water_color)
plt.savefig('output.png')
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Re: [Matplotlib-users] imshow smoothing
Great!
Thanks,
Mike
On Sep 22, 2009, at 2:38 PM, Gary Ruben wrote:
Yes. Use interpolation='nearest' instead.
Gary R.
Michael Hearne wrote:
Running the test script below gives me the image I have attached,
which looks like it has been smoothed.
Does imshow perform some sort of smoothing on the data it
displays? If so, is there a way to turn this off?
#!/usr/bin/env python
from pylab import *
data = array([[1,2,3,4],[5,6,7,8]])
imshow(data,interpolation=None)
savefig('output.png')
close('all')
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[Matplotlib-users] Building matplotlib on os x
Hello - I am attempting to build matplotlib from source on os X, and getting an error about a shared library being the wrong architecture. The confusing thing is that the call to g++ has two settings for arch: g++ -arch i386 -arch ppc... The error I get is: ld: in /Developer/SDKs/MacOSX10.4u.sdk/Library/Frameworks/ Python.framework/Versions/4.3.0/lib/libz.1.dylib, file is not of required architecture for architecture ppc Is there some way to turn off the -arch ppc option to g++ in setup.py? Or do I have some other problem? Build output is included below. Thanks, Mike = = = = BUILDING MATPLOTLIB matplotlib: 0.99.0 python: 2.5.4 |EPD_Py25 4.3.0| (r254:67916, May 17 2009, 20:07:12) [GCC 4.0.1 (Apple Computer, Inc. build 5370)] platform: darwin REQUIRED DEPENDENCIES numpy: 1.3.0 freetype2: 9.20.3 OPTIONAL BACKEND DEPENDENCIES libpng: 1.2.37 Tkinter: Tkinter: 67737, Tk: 8.4, Tcl: 8.4 wxPython: 2.8.7.1 * WxAgg extension not required for wxPython = 2.8 Gtk+: no * Building for Gtk+ requires pygtk; you must be able * to import gtk in your build/install environment Mac OS X native: yes Qt: no Qt4: no Cairo: no OPTIONAL DATE/TIMEZONE DEPENDENCIES datetime: present, version unknown dateutil: 1.4 pytz: 2008c OPTIONAL USETEX DEPENDENCIES dvipng: no ghostscript: 8.54 latex: no [Edit setup.cfg to suppress the above messages] = = = = pymods ['pylab'] packages ['matplotlib', 'matplotlib.backends', 'matplotlib.projections', 'mpl_toolkits', 'mpl_toolkits.mplot3d', 'mpl_toolkits.axes_grid', 'matplotlib.sphinxext', 'matplotlib.numerix', 'matplotlib.numerix.mlab', 'matplotlib.numerix.ma', 'matplotlib.numerix.linear_algebra', 'matplotlib.numerix.random_array', 'matplotlib.numerix.fft', 'matplotlib.delaunay'] running build running build_py copying lib/matplotlib/mpl-data/matplotlibrc - build/lib.macosx-10.3- fat-2.5/matplotlib/mpl-data copying lib/matplotlib/mpl-data/matplotlib.conf - build/ lib.macosx-10.3-fat-2.5/matplotlib/mpl-data running build_ext building 'matplotlib.backends._tkagg' extension creating build/temp.macosx-10.3-fat-2.5 creating build/temp.macosx-10.3-fat-2.5/src creating build/temp.macosx-10.3-fat-2.5/CXX gcc -arch ppc -arch i386 -isysroot /Developer/SDKs/MacOSX10.4u.sdk - fno-strict-aliasing -Wno-long-double -no-cpp-precomp -mno-fused-madd - fno-common -dynamic -DNDEBUG -g -O3 -I/tmp/_py/libraries/usr/local/ include -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -I/System/Library/ Frameworks/Tcl.framework/Headers -I/System/Library/Frameworks/ Tcl.framework/Versions/Current/PrivateHeaders -I/System/Library/ Frameworks/Tk.framework/Headers -I/System/Library/Frameworks/ Tk.framework/Versions/Current/PrivateHeaders -I/usr/local/include -I/ usr/include -I/sw/include -I. -I/Library/Frameworks/Python.framework/ Versions/4.3.0/lib/python2.5/site-packages/numpy-1.3.0n1-py2.5- macosx-10.3-fat.egg/numpy/core/include -Isrc -Iagg24/include -I. -I/ Library/Frameworks/Python.framework/Versions/4.3.0/lib/python2.5/site- packages/numpy-1.3.0n1-py2.5-macosx-10.3-fat.egg/numpy/core/include -I/ opt/local/include/freetype2 -I/opt/local/include -I/usr/local/include - I/usr/include -I/sw/include -I. -I/Library/Frameworks/Python.framework/ Versions/4.3.0/include/python2.5 -c src/agg_py_transforms.cpp -o build/ temp.macosx-10.3-fat-2.5/src/agg_py_transforms.o -framework Tcl - framework Tk powerpc-apple-darwin9-gcc-4.0.1: -framework: linker input file unused because linking not done powerpc-apple-darwin9-gcc-4.0.1: Tcl: linker input file unused because linking not done powerpc-apple-darwin9-gcc-4.0.1: -framework: linker input file unused because linking not done powerpc-apple-darwin9-gcc-4.0.1: Tk: linker input file unused because linking not done i686-apple-darwin9-gcc-4.0.1: -framework: linker input file unused because linking not done i686-apple-darwin9-gcc-4.0.1: Tcl: linker input file unused because linking not done i686-apple-darwin9-gcc-4.0.1: -framework: linker input file unused because linking not done i686-apple-darwin9-gcc-4.0.1: Tk: linker input file unused because linking not done gcc -arch ppc -arch i386 -isysroot /Developer/SDKs/MacOSX10.4u.sdk - fno-strict-aliasing -Wno-long-double -no-cpp-precomp -mno-fused-madd - fno-common -dynamic -DNDEBUG -g -O3 -I/tmp/_py/libraries/usr/local/ include -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -I/System/Library/
[Matplotlib-users] bug in PDFs
All: I am using PDF files generated from matplotlib, and a PDF parser from ReportLab, Inc. Their tool encountered a bug in the PDF specification. The company's email to me follows: ...matplotlib is violating the PDF specification. There is a structure near the end of the file shown below, and they have put an 'n' instead of an 'f' which tells a (suitably pedantic) parser that the first meaningful content is to be found at byte 0 in the file, not byte 16 where it really lives. xref 0 62 00 65535 n should be 'f' 16 0 n 65 0 n 000218 0 n That row with the ' 65535' is present in all PDF files. I change the 'n' to an 'f' in a good binary editor and it goes through fine. I have also added a special case to our code to correct for this. I suspect other PDF viewers just skip the first row so were not bitten. I was able to figure out which module contains the offending code, but not which lines actually print out that data. I submitted a bug report here: https://sourceforge.net/tracker/?func=detailaid=2805455group_id=80706atid=560720 Thanks, Mike -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] drawing un-filled text with matplotlib
I apologize if I am using the wrong terminology for this, but I am trying to reproduce the un-filled text effect in the attached image with matplotlib. Is this possible? Thanks, Mike inline: text.png -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] compound conditions with pylab.find
Is it possible to use multiple conditionals with the pylab.find() function? For example, in Matlab, I can do the following: x = rand(1,10); i = find(x 0.5 x 0.9); %returns the indices between 0.5 and 0.9 In Python: (ipython -pylab) x = rand(1,10) None of the following approaches work: #i = find(x 0.5 and x 0.9) #i = find(x 0.5 x 0.9) #i = find(x 0.5 x 0.9) I'm pretty certain there is some other way to do this using a numpy method, and if that's all there is, then I will happily use it. However, if the goal of the pylab module is to achieve (some level of) compatibility with Matlab, then may I suggest this sort of functionality be added to the pylab.find() function? Thanks, Mike -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Basemap data installation
Jeff - Copying the rest of the files solved the problem. Thanks! --Mike Jeff Whitaker wrote: Michael Hearne wrote: I am experimenting with the Enthought Python Distribution (EPD) on MacOS 10.5, which includes BaseMap version 0.99.1. I have existing modules that use the 'full' resolution data. These modules are currently failing with the error message below. I have tried copying what looked like the full resolution data sets (gshhs_f.dat and gshhsmeta_f.dat) from my 0.99.2 source installation into the EPD basemap data directory, and rerun my scripts, with no success. I looked at my most recent copy of the basemap README and cannot find any reference to the boundary datasets. So, a question for Jeff, and a request for Enthought: 1) How do I update the EPD with the full resolution data 2) Can the EPD be updated to include the full resolution boundary data? Thanks, Mike *** IOError: Unable to open boundary dataset file. Only the 'crude', 'low', 'intermediate' and 'high' resolution datasets are installed by default. If you are requesting a 'full' resolution dataset, you may need to download and install those files separately (see the basemap README for details). Exception caught: Unable to open boundary dataset file. Only the 'crude', 'low', 'intermediate' and 'high' resolution datasets are installed by default. If you are requesting a 'full' resolution dataset, you may need to download and install those files separately (see the basemap README for details). *** -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users Mike: To save space, the EPD folks took out the full resolution datasets. Manually copying the files should work - are you sure you got them in the right place (the mpl_toolkits/basemap/data directory)? You probably have to copy more than the gshhs file (the states, rivers and countries too). -Jeff -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] installing matplotlib
Two questions: 1) I'm trying to upgrade an installation of matplotlib I have on a RHEL5 system. When trying: /usr/local/bin/python setup.py build I get the error message: gcc: src/ft2font.cpp: C++ compiler not installed on this system error: command 'gcc' failed with exit status 1 I do in fact have a C++ compiler on the system, in the form of g++. Is there a place where I can configure the C++ compiler to use? 2) So that I don't have to bother the list with things like this, how can I _search_ the mailing list for keywords? If I go here: http://sourceforge.net/mailarchive/forum.php?forum_name=matplotlib-users I don't see any way to search the archives, other than manually paging through them. -- Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] installing matplotlib
I can't using gcc, but I can using g++, which is installed. I guess I'll just set the CXX variable to the path for g++. I don't know enough about gcc to understand why the two aren't linked together... Thanks for the help, Mike Michael Droettboom wrote: Michael Hearne wrote: Two questions: 1) I'm trying to upgrade an installation of matplotlib I have on a RHEL5 system. When trying: /usr/local/bin/python setup.py build I get the error message: gcc: src/ft2font.cpp: C++ compiler not installed on this system error: command 'gcc' failed with exit status 1 I do in fact have a C++ compiler on the system, in the form of g++. Is there a place where I can configure the C++ compiler to use? distutils will use the CXX environment variable if it is set. Though you should be able to compile C++ with gcc as well, if the C++ backend is installed -- that's why the error message is surprising to me if you're certain you have g++ installed. Can you compile a simple C++ file with gcc directly from the commandline? Cheers, Mike -- Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] installing matplotlib
I tried setting CXX=/usr/bin/g++ in my .bashrc, but I still get the same error. Is there some file in the matplotlib distribution that I need to edit with this information? --Mike Michael Hearne wrote: I can't using gcc, but I can using g++, which is installed. I guess I'll just set the CXX variable to the path for g++. I don't know enough about gcc to understand why the two aren't linked together... Thanks for the help, Mike Michael Droettboom wrote: Michael Hearne wrote: Two questions: 1) I'm trying to upgrade an installation of matplotlib I have on a RHEL5 system. When trying: /usr/local/bin/python setup.py build I get the error message: gcc: src/ft2font.cpp: C++ compiler not installed on this system error: command 'gcc' failed with exit status 1 I do in fact have a C++ compiler on the system, in the form of g++. Is there a place where I can configure the C++ compiler to use? distutils will use the CXX environment variable if it is set. Though you should be able to compile C++ with gcc as well, if the C++ backend is installed -- that's why the error message is surprising to me if you're certain you have g++ installed. Can you compile a simple C++ file with gcc directly from the commandline? Cheers, Mike -- Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] installing matplotlib
Trying your suggestion did not work. However, doing this: export CPP=/usr/bin/g++ python setup.py build did work. Go figure. --Mike Michael Droettboom wrote: Hmm... the selection of the compiler command is actually deep within distutils -- matplotlib doesn't address it. I'm surprised the CXX environment variable isn't getting picked up. I use that all the time to test different compilers. Did you try: export CXX=/usr/bin/g++ python setup.py build If that doesn't work, I'm at a loss -- you could start investigating on distutils and/or gcc lists. Cheers, Mike Michael Hearne wrote: I tried setting CXX=/usr/bin/g++ in my .bashrc, but I still get the same error. Is there some file in the matplotlib distribution that I need to edit with this information? --Mike Michael Hearne wrote: I can't using gcc, but I can using g++, which is installed. I guess I'll just set the CXX variable to the path for g++. I don't know enough about gcc to understand why the two aren't linked together... Thanks for the help, Mike Michael Droettboom wrote: Michael Hearne wrote: Two questions: 1) I'm trying to upgrade an installation of matplotlib I have on a RHEL5 system. When trying: /usr/local/bin/python setup.py build I get the error message: gcc: src/ft2font.cpp: C++ compiler not installed on this system error: command 'gcc' failed with exit status 1 I do in fact have a C++ compiler on the system, in the form of g++. Is there a place where I can configure the C++ compiler to use? distutils will use the CXX environment variable if it is set. Though you should be able to compile C++ with gcc as well, if the C++ backend is installed -- that's why the error message is surprising to me if you're certain you have g++ installed. Can you compile a simple C++ file with gcc directly from the commandline? Cheers, Mike -- Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] setting thickness of axis frame
Chris - Thanks for your reply. Unfortunately, it didn't seem to have any effect on the frame I created. I notice with matplotlib 0.98.5.1, I get a warning with get_frame(), telling me to use the patch object of the axes instead of get_frame(). So, when I use this with an axes created for a Basemap, I can't get the thickness of the frame around the axes to change. I'm using Basemap 0.99.2. The code demonstrating the issue is attached, and the relevant lines of code are near the bottom of the script. Thanks, Mike Christopher Brown wrote: Hi Michael, MH The Axes object has a method for turning on the frame: MH set_frame_on(). How do I set the thickness of the frame that MH appears? I use: plt.gca().get_frame().set_linewidth(2) -- Create and Deploy Rich Internet Apps outside the browser with Adobe(R)AIR(TM) software. With Adobe AIR, Ajax developers can use existing skills and code to build responsive, highly engaging applications that combine the power of local resources and data with the reach of the web. Download the Adobe AIR SDK and Ajax docs to start building applications today-http://p.sf.net/sfu/adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] setting thickness of axis frame
Forgot the attachment...
Michael Hearne wrote:
Chris - Thanks for your reply. Unfortunately, it didn't seem to have
any effect on the frame I created.
I notice with matplotlib 0.98.5.1, I get a warning with get_frame(),
telling me to use the patch object of the axes instead of get_frame().
So, when I use this with an axes created for a Basemap, I can't get
the thickness of the frame around the axes to change.
I'm using Basemap 0.99.2.
The code demonstrating the issue is attached, and the relevant lines
of code are near the bottom of the script.
Thanks,
Mike
Christopher Brown wrote:
Hi Michael,
MH The Axes object has a method for turning on the frame:
MH set_frame_on(). How do I set the thickness of the frame that
MH appears?
I use:
plt.gca().get_frame().set_linewidth(2)
#!/usr/bin/python
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
from pylab import *
fig = plt.figure()
ax1 = fig.add_axes([0,0,1.0,1.0])
bounds = (134,144,36,40)
clon = bounds[0] + (bounds[1]-bounds[0])/2.
clat = bounds[2] + (bounds[3]-bounds[2])/2.
# setup Lambert Conformal basemap.
m = Basemap(llcrnrlon=bounds[0],llcrnrlat=bounds[2],
urcrnrlon=bounds[1],urcrnrlat=bounds[3],
resolution='h',projection='merc',lat_ts=clat)
# draw coastlines.
m.drawcoastlines()
# draw a boundary around the map, fill the background.
# this background will end up being the ocean color, since
# the continents will be drawn on top.
m.drawmapboundary(fill_color='aqua')
# fill continents, set lake color same as ocean color.
m.fillcontinents(color='coral',lake_color='aqua')
left = 0.05
bottom = 0.05
width = 0.25
height = 0.25
llbounds = (left,bottom,width,height)
ax = fig.add_axes(llbounds)
map = Basemap(resolution='c',
projection='ortho',
lon_0=clon,lat_0=clat,ax=ax)
#print 'map created.'
map.drawcountries(linewidth=0.1,color=[0.2,0.2,0.2])
map.drawcoastlines(linewidth=0.05,color=[0.2,0.2,0.2])
map.drawlsmask((230,230,230,255),(119,155,207,255))
meridians = arange(-180,210,30)
parallels = arange(-90,120,30)
map.drawmeridians(meridians,linewidth=0.1,dashes=[1,0],color=[0.2,0.2,0.2])
map.drawparallels(parallels,linewidth=0.1,dashes=[1,0],color=[0.2,0.2,0.2])
pcx,pcy = map(clon,clat)
map.plot(array([pcx]),array([pcy]),'r*',linewidth=1,markersize=5,markeredgecolor='r')
map.drawmapboundary(color='k',linewidth=2.0)
ax.set_frame_on(True)
ax.patch.set_linewidth(4.0)
plt.savefig('output.png')
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[Matplotlib-users] setting thickness of axis frame
The Axes object has a method for turning on the frame: set_frame_on(). How do I set the thickness of the frame that appears? Thanks, Mike Hearne -- Create and Deploy Rich Internet Apps outside the browser with Adobe(R)AIR(TM) software. With Adobe AIR, Ajax developers can use existing skills and code to build responsive, highly engaging applications that combine the power of local resources and data with the reach of the web. Download the Adobe AIR SDK and Ajax docs to start building applications today-http://p.sf.net/sfu/adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] plotting a circle in log space
I have discovered, from the mailing list, the easy way to draw a circle
in linear space:
cx = 700
cy = 700
r = 1000
xmin = cx - r
xmax = cx + r
ymin = cy - r
ymax = cy + r
cir = Circle( (cx,cx), radius=r,facecolor='w',edgecolor='b')
a = gca()
a.add_patch(cir)
axis([xmin,xmax,ymin,ymax])
axis('equal')
However, when trying to overplot a circle on an existing log/log plot, I
get a circle section:
e =
[70,1,1,12,7,185,6,3,0,1015,6,222,500,0,661,105,0,8706,0,23,131,0,0,0,6,22,1,4,0]
o =
[180,2,0,15,13,3,0,0,0,20,6,2000,9748,0,38,100,0,20023,0,2,0,0,0,0,1,0,0,0,1]
f1 = figure()
loglog(o,e,'b.')
hold('on')
cx = 700
cy = 700
r = 1000
xmin = cx - r
xmax = cx + r
ymin = cy - r
ymax = cy + r
cir = Circle( (cx,cx), radius=r,facecolor='w',edgecolor='b')
a = gca()
a.add_patch(cir)
axis([xmin,xmax,ymin,ymax])
axis('equal')
How can I plot a circle in log space?
As an additional aside, I've discovered that even if I define the points
that make up a circle (in linear space), I cannot plot a smooth line
through them using the plot() function:
def pol2cart(th,r):
x = r*cos(th)
y = r*sin(th)
return (x,y)
def drawCircle(cx,cy,radius,np,style):
theta = linspace(0,2*pi,np)
rho = ones((1,np))*radius
x,y = pol2cart(theta,rho)
x = x + cx
y = y + cy
plot(x,y,style)
cx = 700
cy = 700
r = 1000
drawCircle(cx,cy,r,1000,'b')
When I look at the resulting plot, I see empty axes. If I change the
plot style to 'b.', then I see the circle. Is this a bug or an
undocumented feature?
Thanks,
Mike Hearne
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[Matplotlib-users] clabel return values
Is the list of return values from the clabel() function supposed to
represent the position and orientation of the contour labels? I have a
script below where I try to re-draw the contour labels using the Text
objects in the list returned from clabel(), and they do not line up in
my output. I'm using Matplotlib version 0.98.5.1, revision 6622.
If this is intentional, is there some way of retrieving the actual
position/orientation of the contour labels? I'm trying to make a
drop-shadow effect for those labels, and I need to know where they are
exactly for my code to work.
Sample script:
#!/usr/bin/env python
import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
import math
matplotlib.rcParams['xtick.direction'] = 'out'
matplotlib.rcParams['ytick.direction'] = 'out'
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
f=plt.figure(facecolor='g')
ax = plt.gca()
ax.set_axis_bgcolor('g')
CS = plt.contour(X, Y, Z)
xt = plt.xticks()
yt = plt.yticks()
fontsize = 10
fontdict2 = {'fontweight':'light',
'color': 'r',
'fontsize':fontsize}
labels = plt.clabel(CS, inline=1, fontsize=fontsize,colors='k')
for label in labels:
ltext = label.get_text()
lrot = label.get_rotation()
lx,ly = label.get_position()
plt.text(lx,ly,ltext,fontdict2,rotation=lrot)
plt.savefig('output.png')
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Re: [Matplotlib-users] clabel return values
Jae-Joon - Thank you for your suggestion. I wasn't aware I needed the
alignments.
However, when I try your sample code in my script, I get a sequence of
rendering errors if I use show() or savefig():
Traceback (most recent call last):
File
/Library/Python/2.5/site-packages/matplotlib-0.98.5.1-py2.5-macosx-10.5-i386.egg/matplotlib/figure.py,
line 772, in draw
for a in self.axes: a.draw(renderer)
File
/Library/Python/2.5/site-packages/matplotlib-0.98.5.1-py2.5-macosx-10.5-i386.egg/matplotlib/axes.py,
line 1601, in draw
a.draw(renderer)
File
/Library/Python/2.5/site-packages/matplotlib-0.98.5.1-py2.5-macosx-10.5-i386.egg/matplotlib/text.py,
line 450, in draw
bbox, info = self._get_layout(renderer)
File
/Library/Python/2.5/site-packages/matplotlib-0.98.5.1-py2.5-macosx-10.5-i386.egg/matplotlib/text.py,
line 246, in _get_layout
'lp', self._fontproperties, ismath=False)
File
/Library/Python/2.5/site-packages/matplotlib-0.98.5.1-py2.5-macosx-10.5-i386.egg/matplotlib/backends/backend_macosx.py,
line 123, in get_text_width_height_descent
return self.gc.get_text_width_height_descent(unicode(s), family,
size, weight, style)
RuntimeError: ATSUSetAttributes failed
My new script is below:
#!/usr/bin/env python
import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
import math
matplotlib.rcParams['xtick.direction'] = 'out'
matplotlib.rcParams['ytick.direction'] = 'out'
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
f=plt.figure(facecolor='g')
ax = plt.gca()
ax.set_axis_bgcolor('g')
CS = plt.contour(X, Y, Z)
xt = plt.xticks()
yt = plt.yticks()
fontsize = 10
fontdict2 = {'fontweight':'light',
'color': 'r',
'fontsize':fontsize}
fp = matplotlib.font_manager.FontProperties(fontdict2)
labels = plt.clabel(CS, inline=1, fontsize=fontsize,colors='k')
for label in labels:
ltext = label.get_text()
lx,ly = label.get_position()
lrot=label.get_rotation()
va, ha = label.get_va(), label.get_ha()
t = plt.text(lx,ly,ltext, fontproperties=fp,
rotation=lrot,va=va, ha=ha)
plt.savefig('output.png')
Jae-Joon Lee wrote:
I guess you're missing vertical and horizontal alignment.
Also, your font properties were not set correctly. The 4th argument of
the text function is a color.
fontdict2 = {'fontweight':'light',
'color': 'r',
'fontsize':fontsize}
fp = FontProperties(fontdict2)
labels = plt.clabel(CS, inline=1, fontsize=fontsize,colors='k')
for label in labels:
ltext = label.get_text()
lx,ly = label.get_position()
lrot=label.get_rotation()
va, ha = label.get_va(), label.get_ha()
t = plt.text(lx,ly,ltext, fontproperties=fp,
rotation=lrot,va=va, ha=ha)
You may simply use update_from() method.
Anyhow, I'm not sure if you can put dorpshadow effect this way.
Changing font weight usually changes the overall size of each glyph.
Regards,
-JJ
On Tue, Jan 6, 2009 at 10:20 AM, Michael Hearne mhea...@usgs.gov wrote:
Is the list of return values from the clabel() function supposed to
represent the position and orientation of the contour labels? I have a
script below where I try to re-draw the contour labels using the Text
objects in the list returned from clabel(), and they do not line up in
my output. I'm using Matplotlib version 0.98.5.1, revision 6622.
If this is intentional, is there some way of retrieving the actual
position/orientation of the contour labels? I'm trying to make a
drop-shadow effect for those labels, and I need to know where they are
exactly for my code to work.
Sample script:
#!/usr/bin/env python
import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
import math
matplotlib.rcParams['xtick.direction'] = 'out'
matplotlib.rcParams['ytick.direction'] = 'out'
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
f=plt.figure(facecolor='g')
ax = plt.gca()
ax.set_axis_bgcolor('g')
CS = plt.contour(X, Y, Z)
xt = plt.xticks()
yt = plt.yticks()
fontsize = 10
fontdict2 = {'fontweight':'light',
'color': 'r',
'fontsize':fontsize}
labels = plt.clabel(CS, inline=1, fontsize=fontsize,colors='k')
for label in labels:
ltext = label.get_text()
lrot = label.get_rotation()
lx,ly = label.get_position()
plt.text(lx,ly,ltext,fontdict2,rotation=lrot)
plt.savefig('output.png
[Matplotlib-users] getting text size _before_ plotting
All: I'm trying to make a map (using Basemap), and plot names of cities on that map. I'd like to avoid collisions of city names (where the bounding boxes of the text objects would overlap), but I'm having trouble figuring out how I can do this without actually drawing the text on the figure. I found this thread: http://osdir.com/ml/python.matplotlib.general/2005-02/msg00174.html which describes how to do it _after_ drawing the text on the plot. This would only be useful to me if there were some way to un-draw the text, which isn't something I know how to do either. Figure resizing is not a problem for my application. Java has a FontMetrics class, which tells you how big a string will be in a given font - is there an equivalent for Matplotlib? --Mike -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] making continuous color images with custom colormaps
I am posting yet another question about colormaps, as I am having
trouble grasping the fundamentals of the way the color model works in
Matplotlib.
There are many examples on-line of very nice looking continuous color
images, such as the one that would be produced by using this code:
/delta = 0.005
extent = (-3,4,-4,3)
x = arange(-3.0, 4.001, delta)
y = arange(-4.0, 3.001, delta)
X, Y = meshgrid(x, y)
Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z = (Z1 - Z2) * 10
#normalize the example Z data to be between 0 and 10
Z = ((Z - Z.min())/(Z.max() - Z.min()))*10
jet()
imshow(Z)
show()
/However, I can't find any similar examples for custom colormaps. Below
is some test code I wrote to try to understand this. In it I have
hard-coded a color dictionary (suitable for use with a
LinearSegmentedColormap), a color list (suitable for use with a
ListedColormap), and an array of Z values (appropriate for a Boundary
norm). I have tried various combinations of Listed and LinearSegmented
colormaps, and they either show patches of very discrete colors, or no
colors, or the resulting image blows up when I call savefig().
My goal here is to display the Z data in a continuous colormap where the
values are interpolated according to either the color dictionary or
color list I have defined.
A final side question: Does a tutorial on the matplotlib color model
exist anywhere? This would be a really useful resource for me, and
perhaps for others.
Code is appended below.
Thanks,
Mike
#!/usr/bin/env python
'''
Trying to figure out how to make a smooth continuous image with my
custom colormap
'''
from pylab import *
from matplotlib.colors import
ListedColormap,LinearSegmentedColormap,Normalize,BoundaryNorm
isListed = True
delta = 0.005
extent = (-3,4,-4,3)
x = arange(-3.0, 4.001, delta)
y = arange(-4.0, 3.001, delta)
X, Y = meshgrid(x, y)
Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z = (Z1 - Z2) * 10
#normalize the example Z data to be between 0 and 10 (to match my
colormap data)
Z = ((Z - Z.min())/(Z.max() - Z.min()))*10
cdict = {'blue': [1.0,
1.0,
1.0,
1.0,
1.0,
0.57647058823529407,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0],
'green': [1.0,
1.0,
0.80004,
0.90196078431372551,
1.0,
1.0,
1.0,
0.78431372549019607,
0.56862745098039214,
0.0,
0.0,
0.0],
'red': [1.0,
1.0,
0.74901960784313726,
0.62745098039215685,
0.50196078431372548,
0.47843137254901963,
1.0,
1.0,
1.0,
1.0,
0.78431372549019607,
0.50196078431372548]}
clist = array([[ 1., 1., 1.],
[ 1., 1., 1.],
[ 0.74901961, 0.8 , 1.],
[ 0.62745098, 0.90196078, 1.],
[ 0.50196078, 1., 1.],
[ 0.47843137, 1., 0.57647059],
[ 1., 1., 0.],
[ 1., 0.78431373, 0.],
[ 1., 0.56862745, 0.],
[ 1., 0., 0.],
[ 0.78431373, 0., 0.],
[ 0.50196078, 0., 0.]])
boundaries = array([ 0., 1., 2., 3., 4., 5., 6., 7.,
8., 9., 10., 13.])
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Re: [Matplotlib-users] making continuous color images with custom colormaps
Looking at Eric's documentation, I now understand that my cdict will not work. I retract my question for now until I can figure out how to make a cdict that looks like what I want. Thanks. Eric Firing wrote: Michael Hearne wrote: I am posting yet another question about colormaps, as I am having trouble grasping the fundamentals of the way the color model works in Matplotlib. Mike, I recently added examples/pylab_examples/custom_cmap.py with an extensive docstring, partly stolen from the cookbook, to try to explain and illustrate the use of LinearSegmentedColormap. examples/api/colorbar_only.py gives an example of a ListedColormap, although it sounds to me like what you want really is the LinearSegmentedColormap. Eric -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] error installing matplotlib from egg
option -Wstrict-prototypes is valid for C/ObjC but not for C++ cc1plus: warning: command line option -Wstrict-prototypes is valid for C/ObjC but not for C++ cc1plus: warning: command line option -Wstrict-prototypes is valid for C/ObjC but not for C++ ld: warning in /sw/lib/libpng12.dylib, file is not of required architecture cc1plus: warning: command line option -Wstrict-prototypes is valid for C/ObjC but not for C++ cc1plus: warning: command line option -Wstrict-prototypes is valid for C/ObjC but not for C++ powerpc-apple-darwin9-gcc-4.0.1: -framework: linker input file unused because linking not done powerpc-apple-darwin9-gcc-4.0.1: Tcl: linker input file unused because linking not done powerpc-apple-darwin9-gcc-4.0.1: -framework: linker input file unused because linking not done powerpc-apple-darwin9-gcc-4.0.1: Tk: linker input file unused because linking not done i686-apple-darwin9-gcc-4.0.1: -framework: linker input file unused because linking not done i686-apple-darwin9-gcc-4.0.1: Tcl: linker input file unused because linking not done i686-apple-darwin9-gcc-4.0.1: -framework: linker input file unused because linking not done i686-apple-darwin9-gcc-4.0.1: Tk: linker input file unused because linking not done ld: warning in /sw/lib/freetype219/lib/libfreetype.dylib, file is not of required architecture zip_safe flag not set; analyzing archive contents... matplotlib.__init__: module references __file__ matplotlib.pyparsing: module MAY be using inspect.stack matplotlib.backends.backend_cocoaagg: module references __file__ matplotlib.config.cutils: module references __file__ Removing matplotlib 0.98.5.1 from easy-install.pth file Adding matplotlib 0.98.5.1 to easy-install.pth file Installed /Library/Python/2.5/site-packages/matplotlib-0.98.5.1-py2.5-macosx-10.5-i386.egg Finished processing dependencies for matplotlib==0.98.5.1 Exception exceptions.OSError: (2, 'No such file or directory', 'src/image.cpp') in bound method CleanUpFile.__del__ of setupext.CleanUpFile instance at 0x14c5aa8 ignored Exception exceptions.OSError: (2, 'No such file or directory', 'src/path.cpp') in bound method CleanUpFile.__del__ of setupext.CleanUpFile instance at 0x14c5300 ignored Exception exceptions.OSError: (2, 'No such file or directory', 'src/backend_agg.cpp') in bound method CleanUpFile.__del__ of setupext.CleanUpFile instance at 0x14c55f8 ignored John Hunter wrote: On Mon, Dec 15, 2008 at 7:08 PM, Michael Hearne mhea...@usgs.gov wrote: I get the following output when trying to install the latest version of matplotlib from an egg. I'm running Mac OS X 10.5.5. We've had a lot of trouble with our eggs. I am not sure this is all our fault, because it looks like some combination of distutils and setuptools is breaking in the presence of symlinks, which we use. I'm modified our installs to work around this problem, and have posted new eggs at https://sourceforge.net/project/showfiles.php?group_id=80706package_id=278194release_id=646644 You have two choices for OS X : * matplotlib-0.98.5.1-py2.5-macosx10.5.zip - a binary mpkg installer * matplotlib-0.98.5.1-py2.5-macosx.egg - an egg with the known problems fixed. Please give it another whirl and let me know. JDH -- SF.Net email is Sponsored by MIX09, March 18-20, 2009 in Las Vegas, Nevada. The future of the web can't happen without you. Join us at MIX09 to help pave the way to the Next Web now. Learn more and register at http://ad.doubleclick.net/clk;208669438;13503038;i?http://2009.visitmix.com/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] GMT-like color maps
I'm trying to replicate the color-mapping behavior of the GMT package
with matplotlib/basemap and the imshow() function, and have run into a
problem.
Using GMT you can assign colors to ranges of Z values, so that (for
example), Z values between 0 and 50 are given a color interpolated
between (0,0,255) (blue) and (255,0,0) (red). There have been various
versions of a function called gmtColorMap() posted to this list. I did
some experiments today, and as far as I can tell, this function only
reads the _color_ part of a GMT .cpt file, ignoring the Z values to
which those color ranges are assigned. This isn't a problem as long as
you have a linear color scale. However, if you have (as in my case) a
color scale assigned to non-linear ranges of values, it becomes a problem.
Is there a way with imshow() to assign ranges of colors to specific
ranges of Z values?
As a test, I created the attached python script, which reads in the
attached .cpt file.
For those of you not aware of the GMT color palette file format, in each
row you define two end points for your Z values, and two corresponding
RGB triplets. In my simplified example, I have defined 8 ranges, and
assigned a single color to each range. For example, the first two lines
in my color palette file looks like this:
0 255 255 255 5 255 255 255
5 255 255 000 00050 255 255 000
which can be interpreted to mean that any values between 0 and 5 (filled
in with zeros to make the columns line up), should be colored white.
Similarly, any values between 5 and 50 should be colored yellow.
popcpt.cpt
Description: Binary data
#!/usr/bin/python
from matplotlib.colors import LinearSegmentedColormap,Normalize
from pylab import *
def gmtColormap(fileName):
import colorsys
import numpy as N
try:
f = open(fileName)
except:
print file ,fileName, not found
return None
lines = f.readlines()
f.close()
x = []
r = []
g = []
b = []
colorModel = RGB
for l in lines:
ls = l.split()
if l[0] == #:
if ls[-1] == HSV:
colorModel = HSV
continue
else:
continue
if ls[0] == B or ls[0] == F or ls[0] == N:
pass
else:
x.append(float(ls[0]))
r.append(float(ls[1]))
g.append(float(ls[2]))
b.append(float(ls[3]))
xtemp = float(ls[4])
rtemp = float(ls[5])
gtemp = float(ls[6])
btemp = float(ls[7])
x.append(xtemp)
r.append(rtemp)
g.append(gtemp)
b.append(btemp)
nTable = len(r)
x = N.array( x , N.float32)
r = N.array( r , N.float32)
g = N.array( g , N.float32)
b = N.array( b , N.float32)
if colorModel == HSV:
for i in range(r.shape[0]):
rr,gg,bb = colorsys.hsv_to_rgb(r[i]/360.,g[i],b[i])
r[i] = rr ; g[i] = gg ; b[i] = bb
if colorModel == HSV:
for i in range(r.shape[0]):
rr,gg,bb = colorsys.hsv_to_rgb(r[i]/360.,g[i],b[i])
r[i] = rr ; g[i] = gg ; b[i] = bb
if colorModel == RGB:
r = r/255.
g = g/255.
b = b/255.
xNorm = (x - x[0])/(x[-1] - x[0])
red = []
blue = []
green = []
for i in range(len(x)):
red.append([xNorm[i],r[i],r[i]])
green.append([xNorm[i],g[i],g[i]])
blue.append([xNorm[i],b[i],b[i]])
colorDict = {red:red, green:green, blue:blue}
return (colorDict)
colormap = 'popcpt.cpt'
cdict = gmtColormap(colormap)
palette = LinearSegmentedColormap('my_colormap',cdict)
f = figure()
data = array([[2,2,2,2,2],
[25,25,25,25,25],
[75,75,75,75,75],
[250,250,250,250,250],
[750,750,750,750,750],
[2500,2500,2500,2500,2500],
[7500,7500,7500,7500,7500],
[25000,25000,25000,25000,25000]])
imshow(data,cmap=palette)
#draw grid lines around all the cells
nrows,ncols = data.shape
for row in range(0,nrows):
plot([0,ncols],[row,row],'k')
for col in range(0,ncols):
plot([col,col],[0,nrows],'k')
axis([0,ncols-1,0,nrows])
colorbar()
savefig('output.png')
close('all')
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[Matplotlib-users] error installing matplotlib from egg
I get the following output when trying to install the latest version of matplotlib from an egg. I'm running Mac OS X 10.5.5. sudo easy_install matplotlib-0.98.5-py2.5-macosx-10.3.egg Processing matplotlib-0.98.5-py2.5-macosx-10.3.egg removing '/Library/Python/2.5/site-packages/matplotlib-0.98.5-py2.5-macosx-10.3.egg' (and everything under it) creating /Library/Python/2.5/site-packages/matplotlib-0.98.5-py2.5-macosx-10.3.egg Extracting matplotlib-0.98.5-py2.5-macosx-10.3.egg to /Library/Python/2.5/site-packages matplotlib 0.98.5 is already the active version in easy-install.pth Installed /Library/Python/2.5/site-packages/matplotlib-0.98.5-py2.5-macosx-10.3.egg Processing dependencies for matplotlib==0.98.5 Searching for matplotlib==0.98.5 Reading http://pypi.python.org/simple/matplotlib/ Reading http://matplotlib.sourceforge.net Reading https://sourceforge.net/project/showfiles.php?group_id=80706package_id=278194 Reading https://sourceforge.net/project/showfiles.php?group_id=80706package_id=82474 Reading http://sourceforge.net/project/showfiles.php?group_id=80706 Best match: matplotlib 0.98.5 Downloading http://downloads.sourceforge.net/matplotlib/matplotlib-0.98.5.tar.gz?modtime=1229034572big_mirror=0 Processing matplotlib-0.98.5.tar.gz Running matplotlib-0.98.5/setup.py -q bdist_egg --dist-dir /var/folders/GK/GKdPFArAGq0lmR1STz+kRTQ/-Tmp-/easy_install-3-LaUu/matplotlib-0.98.5/egg-dist-tmp-5updhB BUILDING MATPLOTLIB matplotlib: 0.98.5 python: 2.5.1 (r251:54863, Jan 17 2008, 19:35:17) [GCC 4.0.1 (Apple Inc. build 5465)] platform: darwin REQUIRED DEPENDENCIES numpy: 1.1.0.dev5077 freetype2: 9.17.3 OPTIONAL BACKEND DEPENDENCIES libpng: 1.2.18 Tkinter: Tkinter: 50704, Tk: 8.4, Tcl: 8.4 wxPython: 2.8.4.0 * WxAgg extension not required for wxPython = 2.8 Gtk+: no * Building for Gtk+ requires pygtk; you must be able * to import gtk in your build/install environment Mac OS X native: yes Qt: no Qt4: no Cairo: no OPTIONAL DATE/TIMEZONE DEPENDENCIES datetime: present, version unknown dateutil: 1.4.1 pytz: 2008i OPTIONAL USETEX DEPENDENCIES dvipng: no ghostscript: 8.61 latex: no EXPERIMENTAL CONFIG PACKAGE DEPENDENCIES configobj: matplotlib will provide enthought.traits: 2.6b1-mpl [Edit setup.cfg to suppress the above messages] error: lib/matplotlib/mpl-data/matplotlib.conf.template: No such file or directory Exception exceptions.OSError: (2, 'No such file or directory', 'src/image.cpp') in bound method CleanUpFile.__del__ of setupext.CleanUpFile instance at 0x1447b48 ignored Exception exceptions.OSError: (2, 'No such file or directory', 'src/path.cpp') in bound method CleanUpFile.__del__ of setupext.CleanUpFile instance at 0x14473a0 ignored Exception exceptions.OSError: (2, 'No such file or directory', 'src/backend_agg.cpp') in bound method CleanUpFile.__del__ of setupext.CleanUpFile instance at 0x1447698 ignored -- SF.Net email is Sponsored by MIX09, March 18-20, 2009 in Las Vegas, Nevada. The future of the web can't happen without you. Join us at MIX09 to help pave the way to the Next Web now. Learn more and register at http://ad.doubleclick.net/clk;208669438;13503038;i?http://2009.visitmix.com/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] building matplotib on linux
I installed the freetype-devel libraries and this problem went away. --Mike Michael Hearne wrote: All: I am trying to build matplotlib 0.98.3 on a Red Hat Enterprise 5 linux box. I have Tkinter support compiled into my /usr/local/bin/python installation (at least import Tkinter raises no exceptions). However, when I try to build matplotlib using /usr/local/bin/python setup.py build, I get the output below. Any hints? Is this my fault, or a bug in setup.py? Thanks, Mike BUILDING MATPLOTLIB matplotlib: 0.98.3 python: 2.5.2 (r252:60911, Sep 15 2008, 16:18:30) [GCC 4.1.2 20071124 (Red Hat 4.1.2-42)] platform: linux2 REQUIRED DEPENDENCIES numpy: 1.1.0 freetype2: found, but unknown version (no pkg-config) * WARNING: Could not find 'freetype2' headers in any * of '/usr/local/include', '/usr/include', '.', * '/usr/local/include/freetype2', * '/usr/include/freetype2', './freetype2'. OPTIONAL BACKEND DEPENDENCIES libpng: 1.2.10 Traceback (most recent call last): File setup.py, line 125, in module if check_for_tk() or (options['build_tkagg'] is True): File /home/mhearne/build/matplotlib-0.98.3/setupext.py, line 841, in check_for_tk explanation = add_tk_flags(module) File /home/mhearne/build/matplotlib-0.98.3/setupext.py, line 1101, in add_tk_flags module.libraries.extend(['tk' + tk_ver, 'tcl' + tk_ver]) UnboundLocalError: local variable 'tk_ver' referenced before assignment -- -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] building matplotib on linux
No. Interestingly, I didn't get the same errors this morning as I did last night - I got build errors regarding ftbuild (or something like that). I had just installed Tcl/Tk from source, so perhaps the first time my shell hadn't figured out where they were (??). After I installed freetype-devel, the build errors went away. The Tk errors vanished on their own. I don't know why I have so much trouble building and installing software... Thanks, Mike Hearne John Hunter wrote: On Tue, Sep 23, 2008 at 10:28 AM, Michael Hearne [EMAIL PROTECTED] wrote: I installed the freetype-devel libraries and this problem went away. Any chance you also installed tk-devel or tcl-devel? I can't see how the addition of the freetype headers would fix a tk problem. JDH -- -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] building matplotib on linux
All: I am trying to build matplotlib 0.98.3 on a Red Hat Enterprise 5 linux box. I have Tkinter support compiled into my /usr/local/bin/python installation (at least import Tkinter raises no exceptions). However, when I try to build matplotlib using /usr/local/bin/python setup.py build, I get the output below. Any hints? Is this my fault, or a bug in setup.py? Thanks, Mike BUILDING MATPLOTLIB matplotlib: 0.98.3 python: 2.5.2 (r252:60911, Sep 15 2008, 16:18:30) [GCC 4.1.2 20071124 (Red Hat 4.1.2-42)] platform: linux2 REQUIRED DEPENDENCIES numpy: 1.1.0 freetype2: found, but unknown version (no pkg-config) * WARNING: Could not find 'freetype2' headers in any * of '/usr/local/include', '/usr/include', '.', * '/usr/local/include/freetype2', * '/usr/include/freetype2', './freetype2'. OPTIONAL BACKEND DEPENDENCIES libpng: 1.2.10 Traceback (most recent call last): File setup.py, line 125, in module if check_for_tk() or (options['build_tkagg'] is True): File /home/mhearne/build/matplotlib-0.98.3/setupext.py, line 841, in check_for_tk explanation = add_tk_flags(module) File /home/mhearne/build/matplotlib-0.98.3/setupext.py, line 1101, in add_tk_flags module.libraries.extend(['tk' + tk_ver, 'tcl' + tk_ver]) UnboundLocalError: local variable 'tk_ver' referenced before assignment -- -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] bug in savefig?
Has anyone reported a bug in the post-script renderer regarding text
with backticks in it? I remember that there was a bug fix for single
quotes, but I just ran into this one.
I'm using 0.98.2 on OS 10.5.
A sample script is below. If I try to open the postscript file in Mac's
Preview, it attempts to convert it to a PDF before viewing and fails.
Similarly, if I try to convert it using ps2pdf, it also fails.
#!/usr/bin/python
from pylab import *
x = array([1,2,3,4])
y = array([5,6,7,8])
plot(x,y,'r+')
hold(True)
text(2,7,El `Jamar)
savefig('output.eps')
savefig('output.png')
--
--
Michael Hearne
[EMAIL PROTECTED]
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
--
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Re: [Matplotlib-users] which basemap with matpotlib 0.91.2
Jeff - Well, that's the problem - I _do_ need scipy! Not for basemap, but for the rest of my application. Does your sourceforge repository have older copies of the basemap code? My complaint about scipy has to do with the fact that I spent a good week trying to get scipy's dependencies to install on two Red Hat Enterprise Linux systems: I punted both of them over to an outside contractor, who was able to compile scipy on one system, but not the other. And he specializes in that kind of stuff. --Mike Jeff Whitaker wrote: Michael Hearne wrote: I'm trying to build an application on a newly installed Ubuntu. I've used apt-get to install scipy and matplotlib. numpy version: 1.0.4 scipy version: 0.6 matplotlib version: 0.91.2 What version of basemap is safe to download and build with this configuration? Doing apt-cache search basemap yields no results, so I assume there isn't an Ubuntu package for that. And if someone tells me I need to compile a newer scipy (and it's #$%^! dependencies) from source, I'll scream. Thanks, Mike Mike: Basemap's now only supported for matplotlib 0.98. For that you need numpy 1.1 (you don't need scipy at all). -Jeff -- -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] bug: fewer colors in encapsulated postscript versions than PNG
I noticed a problem with colors in rendered encapsulated postscript
files, and fortunately I was able to replicate with a modified version
of one of Jeff Whitaker's example scripts, which I have attached. The
EPS version of the plot has black contour lines where they are colored
in the PNG file, at least on a Mac OSX machine.
Is there a work-around for this? I haven't tested to see if it is
limited to contour plots, or to Mac installations...
Thanks,
Mike
--
--
Michael Hearne
[EMAIL PROTECTED]
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
--
from mpl_toolkits.basemap import Basemap
import pylab as p
# set up orthographic map projection with
# perspective of satellite looking down at 50N, 100W.
# use low resolution coastlines.
map = Basemap(projection='ortho',lat_0=50,lon_0=-100,resolution='l')
# draw coastlines, country boundaries, fill continents.
map.drawcoastlines(linewidth=0.25)
map.drawcountries(linewidth=0.25)
map.fillcontinents(color='coral')
# draw the edge of the map projection region (the projection limb)
map.drawmapboundary()
# draw lat/lon grid lines every 30 degrees.
map.drawmeridians(p.arange(0,360,30))
map.drawparallels(p.arange(-90,90,30))
# lat/lon coordinates of five cities.
lats=[40.02,32.73,38.55,48.25,17.29]
lons=[-105.16,-117.16,-77.00,-114.21,-88.10]
cities=['Boulder, CO','San Diego, CA',
'Washington, DC','Whitefish, MT','Belize City, Belize']
# compute the native map projection coordinates for cities.
x,y = map(lons,lats)
# plot filled circles at the locations of the cities.
map.plot(x,y,'bo')
# plot the names of those five cities.
for name,xpt,ypt in zip(cities,x,y):
p.text(xpt+5,ypt+5,name,fontsize=9)
# make up some data on a regular lat/lon grid.
nlats = 73; nlons = 145; delta = 2.*p.pi/(nlons-1)
lats = (0.5*p.pi-delta*p.indices((nlats,nlons))[0,:,:])
lons = (delta*p.indices((nlats,nlons))[1,:,:])
wave = 0.75*(p.sin(2.*lats)**8*p.cos(4.*lons))
mean = 0.5*p.cos(2.*lats)*((p.sin(2.*lats))**2 + 2.)
# compute native map projection coordinates of lat/lon grid.
x, y = map(lons*180./p.pi, lats*180./p.pi)
# contour data over the map.
cs = map.contour(x,y,wave+mean,15,linewidths=1.5)
# as above, but use blue marble image as map background.
fig = p.figure()
map = Basemap(projection='ortho',lat_0=50,lon_0=-100,resolution='l')
map.drawmapboundary()
map.drawmeridians(p.arange(0,360,30))
map.drawparallels(p.arange(-90,90,30))
# lat/lon coordinates of five cities.
lats=[40.02,32.73,38.55,48.25,17.29]
lons=[-105.16,-117.16,-77.00,-114.21,-88.10]
cities=['Boulder, CO','San Diego, CA',
'Washington, DC','Whitefish, MT','Belize City, Belize']
# compute the native map projection coordinates for cities.
x,y = map(lons,lats)
# plot filled circles at the locations of the cities.
map.plot(x,y,'yo')
# plot the names of those five cities.
for name,xpt,ypt in zip(cities,x,y):
p.text(xpt+5,ypt+5,name,fontsize=9,color='w')
# make up some data on a regular lat/lon grid.
nlats = 73; nlons = 145; delta = 2.*p.pi/(nlons-1)
lats = (0.5*p.pi-delta*p.indices((nlats,nlons))[0,:,:])
lons = (delta*p.indices((nlats,nlons))[1,:,:])
wave = 0.75*(p.sin(2.*lats)**8*p.cos(4.*lons))
mean = 0.5*p.cos(2.*lats)*((p.sin(2.*lats))**2 + 2.)
# compute native map projection coordinates of lat/lon grid.
x, y = map(lons*180./p.pi, lats*180./p.pi)
# contour data over the map.
cs = map.contour(x,y,wave+mean,15,linewidths=1.5)
# draw blue marble image in background.
#map.bluemarble()
#p.show()
p.savefig('wiki_example.eps')
p.savefig('wiki_example.png')
p.close('all')
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Re: [Matplotlib-users] bug: fewer colors in encapsulated postscript versions than PNG
I upgraded using svn, and it solved the problem. Thanks for the tip! --Mike Michael Droettboom wrote: There have subsequently been a number of fixes to how state is saved and restored in the Postscript backend. (Especially in revisions 5082, 5083 and 5133). Comparing your eps file with mine, that seems the most likely culprit of the bug. Can you update to 0.98.1 or later (or the current SVN head?). Does that resolve this issue? Cheers, Mike Michael Hearne wrote: Matplotlib versions: In [2]: matplotlib.__version__ Out[2]: '0.98pre' In [3]: matplotlib.__revision__ Out[3]: '$Revision: 5075 $' And I get similar results with the contour_demo example in the matplotlib distribution. The .eps (and .png, for comparison) file for that is attached. --Mike Michael Droettboom wrote: What version of matplotlib are you using? Can you provide a standalone example that doesn't rely on basemap? If not, can you provide the .eps file so we can have a look? Colored lines on contour plots in EPS works fine here (contour_demo.py) (with matplotlib 0.98.2 on a Linux box). Cheers, Mike Michael Hearne wrote: I noticed a problem with colors in rendered encapsulated postscript files, and fortunately I was able to replicate with a modified version of one of Jeff Whitaker's example scripts, which I have attached. The EPS version of the plot has black contour lines where they are colored in the PNG file, at least on a Mac OSX machine. Is there a work-around for this? I haven't tested to see if it is limited to contour plots, or to Mac installations... Thanks, Mike - Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://sourceforge.net/services/buy/index.php ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://sourceforge.net/services/buy/index.php ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Errors building matplotlib on RHEL5
I'm trying to install matplotlib on a RHEL5 system, and I'm getting
errors in src/ft2font.h and ft2font.cpp.
An error log from the build command is attached.
I would use an RPM for this platform if I were sure that it would be
installed in /usr/local/lib... Is there a way to control where RPM's
get installed?
--Mike
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cc1plus: warning: command line option -Wstrict-prototypes is valid for
Ada/C/ObjC but not for C++
In file included from src/ft2font.cpp:1:
src/ft2font.h:13:22: error: ft2build.h: No such file or directory
src/ft2font.h:14:10: error: #include expects FILENAME or FILENAME
src/ft2font.h:15:10: error: #include expects FILENAME or FILENAME
src/ft2font.h:16:10: error: #include expects FILENAME or FILENAME
src/ft2font.h:17:10: error: #include expects FILENAME or FILENAME
src/ft2font.h:18:10: error: #include expects FILENAME or FILENAME
src/ft2font.h:31: error: ‘FT_Bitmap’ has not been declared
src/ft2font.h:31: error: ‘FT_Int’ has not been declared
src/ft2font.h:31: error: ‘FT_Int’ has not been declared
src/ft2font.h:77: error: expected ‘,’ or ‘...’ before ‘’ token
src/ft2font.h:77: error: ISO C++ forbids declaration of ‘FT_Face’ with no
type
src/ft2font.h:83: error: expected ‘,’ or ‘...’ before ‘’ token
src/ft2font.h:83: error: ISO C++ forbids declaration of ‘FT_Face’ with no
type
src/ft2font.h:122: error: ‘FT_Face’ does not name a type
src/ft2font.h:123: error: ‘FT_Matrix’ does not name a type
src/ft2font.h:124: error: ‘FT_Vector’ does not name a type
src/ft2font.h:125: error: ‘FT_Error’ does not name a type
src/ft2font.h:126: error: ‘FT_Glyph’ was not declared in this scope
src/ft2font.h:126: error: template argument 1 is invalid
src/ft2font.h:126: error: template argument 2 is invalid
src/ft2font.h:127: error: ‘FT_Vector’ was not declared in this scope
src/ft2font.h:127: error: template argument 1 is invalid
src/ft2font.h:127: error: template argument 2 is invalid
src/ft2font.h:133: error: ‘FT_BBox’ does not name a type
src/ft2font.cpp:46: error: ‘FT_Library’ does not name a type
src/ft2font.cpp:97: error: variable or field ‘draw_bitmap’ declared void
src/ft2font.cpp:97: error: ‘int FT2Image::draw_bitmap’ is not a static
member of ‘class FT2Image’
src/ft2font.cpp:97: error: ‘FT_Bitmap’ was not declared in this scope
src/ft2font.cpp:97: error: ‘bitmap’ was not declared in this scope
src/ft2font.cpp:98: error: ‘FT_Int’ was not declared in this scope
src/ft2font.cpp:99: error: ‘FT_Int’ was not declared in this scope
src/ft2font.cpp:99: error: initializer expression list treated as compound
expression
src/ft2font.cpp:99: error: expected ‘,’ or ‘;’ before ‘{’ token
/usr/local/lib/python2.5/site-packages/numpy-1.1.0-py2.5-linux-x86_64.egg/numpy/core/include/numpy/__multiarray_api.h:958:
warning: ‘int _import_array()’ defined but not used
error: command 'gcc' failed with exit status 1
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[Matplotlib-users] [Fwd: bounding box functionality with text() function]
I'm reposting this, as it may have gotten lost in other discussions. I
think there is possibly a bug in the PNG renderer for TkAgg (which is
what I think I'm using when I say matplotlib.use('agg')), as I get
different visual results from savefig when saving to EPS and PNG. If
this isn't a bug, can someone please let me know what I'm doing wrong,
or point me to a workaround for saving to PNG files?
Thanks,
Mike
Original Message
Subject:[Matplotlib-users] bounding box functionality with text()
function
Date: Mon, 09 Jun 2008 14:35:24 -0600
From: Michael Hearne [EMAIL PROTECTED]
Reply-To: [EMAIL PROTECTED]
To: MatPlotLib Users matplotlib-users@lists.sourceforge.net
I'm having a problem with the bbox keyword to the text() function. The
code below, for me, results in one postscript file that looks fine, but
the PNG file has letters outside of the bounding box for most of the
words I plot.
I'm using matplotlib '0.98pre' on Mac OS X.
import matplotlib
matplotlib.use('agg')
from pylab import *
x = array([6,7,8,9,10])
y = array([6,7,8,9,10])
fig = figure()
plot(x,y,'rx')
hold('on')
fontdict2 = {'fontweight':'light',
'color': 'k',
'fontsize':9}
words = ['Hi','Goodbye','What''s this','Aloha','So long, farewell']
for i in range(0,len(x)):
tx = x[i]
ty = y[i]
word = words[i]
text(tx,ty,word,fontdict2,bbox={'facecolor':'w'})
savefig('textplot.eps')
savefig('textplot.png')
close(fig)
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Synergetics, Inc.
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Re: [Matplotlib-users] bounding box functionality with text() function
John - Thanks for the quick fix. I'm having a separate issue now with an EPS file being generated (using savefig() again) that appears to be invalid (can't display it in OS X Preview, or convert to PDF with ps2pdf). Unfortunately, the code that creates this particular file is rather involved, and hard to replicate with one simple script. If I send the offending EPS file (it's 1.4 MB zipped), is it possible to tell from that what the problem is? The errors from ps2pdf are: Error: /undefined in --get-- Operand stack: true --dict:43/43(ro)(L)-- .notdef Execution stack: %interp_exit .runexec2 --nostringval-- --nostringval-- --nostringval-- 2 %stopped_push --nostringval-- --nostringval-- --nostringval-- false 1 %stopped_push 1905 1 3 %oparray_pop 1904 1 3 %oparray_pop --nostringval-- 1888 1 3 %oparray_pop 1771 1 3 %oparray_pop --nostringval-- %errorexec_pop .runexec2 --nostringval-- --nostringval-- --nostringval-- 2 %stopped_push --nostringval-- %finish_show --nostringval-- --nostringval-- 5 4 0 --nostringval-- (pdf_text_enum_t) %op_show_continue --nostringval-- Dictionary stack: --dict:1144/1684(ro)(G)-- --dict:0/20(G)-- --dict:75/200(L)-- --dict:61/112(L)-- --dict:20/25(ro)(L)-- Current allocation mode is local Last OS error: 2 Current file position is 996122 GPL Ghostscript 8.61: Unrecoverable error, exit code 1 --Mike John Hunter wrote: On Wed, Jun 11, 2008 at 10:14 AM, John Hunter [EMAIL PROTECTED] wrote: Interesting. When I plot it on my screen it looks correct with a *Agg GUI backend. But when I save it (either from the GUI or using savefig) it has the problem you describe. This suggests to me that either some cached information or something is not getting notified of the different default dpi in savefig. I'll look into it. Since PS is dpi independent, it would not affect it. Well, my diagnosis wasn't correct, but I fixed the problem. In the caching of the text layout, we were not taking into account the different renderers in the cache key. Since PS has a nominal dpi setting that is ignored by postscript, the differences in dpi were not getting picked up in the layout cache. The solution I implemented was to simply add the renderer id to the property tuple used for caching. Fixed in svn r5470. JDH -- -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://sourceforge.net/services/buy/index.php ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] bounding box functionality with text() function
I'm having a problem with the bbox keyword to the text() function. The
code below, for me, results in one postscript file that looks fine, but
the PNG file has letters outside of the bounding box for most of the
words I plot.
I'm using matplotlib '0.98pre' on Mac OS X.
import matplotlib
matplotlib.use('agg')
from pylab import *
x = array([6,7,8,9,10])
y = array([6,7,8,9,10])
fig = figure()
plot(x,y,'rx')
hold('on')
fontdict2 = {'fontweight':'light',
'color': 'k',
'fontsize':9}
words = ['Hi','Goodbye','What''s this','Aloha','So long, farewell']
for i in range(0,len(x)):
tx = x[i]
ty = y[i]
word = words[i]
text(tx,ty,word,fontdict2,bbox={'facecolor':'w'})
savefig('textplot.eps')
savefig('textplot.png')
close(fig)
--
--
Michael Hearne
[EMAIL PROTECTED]
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
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[Matplotlib-users] plot_date and legend
I'm noticing strange behavior with the legend function when used in
combination with matplotlib. If I do the following:
import datetime
from pylab import *
date1 = datetime.date( 1952, 1, 1 )
date2 = datetime.date( 2004, 4, 12 )
delta = datetime.timedelta(days=100)
dates = drange(date1, date2, delta)
s1 = rand(len(dates))
plot_date(dates, s1,'r.')
hold(True)
s2 = rand(len(dates))
plot_date(dates, s2,'bo')
legend(('s1','s2'))
The resulting legend shows the symbols twice (two little red dots and
two blue ones). Does anyone else get this, and if so, do you know
what the problem is?
--Mike
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[EMAIL PROTECTED]
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Re: [Matplotlib-users] plot_date and legend
Contents of matplotlib.__version__
'0.98pre'
My Matplotlib is from the SciPy SuperPack for Mac OS X from
http://macinscience.org/?page_id=6
On May 1, 2008, at 3:32 PM, Michael Hearne wrote:
I'm noticing strange behavior with the legend function when used in
combination with matplotlib. If I do the following:
import datetime
from pylab import *
date1 = datetime.date( 1952, 1, 1 )
date2 = datetime.date( 2004, 4, 12 )
delta = datetime.timedelta(days=100)
dates = drange(date1, date2, delta)
s1 = rand(len(dates))
plot_date(dates, s1,'r.')
hold(True)
s2 = rand(len(dates))
plot_date(dates, s2,'bo')
legend(('s1','s2'))
The resulting legend shows the symbols twice (two little red dots
and two blue ones). Does anyone else get this, and if so, do you
know what the problem is?
--Mike
--
Michael Hearne
[EMAIL PROTECTED]
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
--
--
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[EMAIL PROTECTED]
(303) 273-8620
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1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
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[Matplotlib-users] Installing matplotlib
Jeff (or anyone) - I recently reinstalled all of my numpy/scipy related packages, including matplotlib, from a Mac OS X installer called the SciPy SuperPack. (http://macinscience.org/?page_id=6) All of the packages he includes work really well. However, after I used easy_install to grab Basemap, I found I can't import it. I was wondering if you could give me a pointer on how to tell Python where to look for Basemap? Thanks, Mike Hearne My site-packages directory looks like this: -rw-rw-r-- 1 root admin 119 Oct 5 2007 README drwxr-xr-x 20 root admin 680 Apr 30 16:43 basemap-0.9.9.1-py2.5- macosx-10.5-i386.egg -rw-r--r-- 1 root admin 555 Apr 30 16:43 easy-install.pth drwxr-xr-x 4 root admin 136 Apr 30 16:49 ipython-0.8.3.svn.r3001-py2.5.egg drwxr-xr-x 12 root admin 408 Apr 30 16:48 matplotlib-0.98pre- py2.5-macosx-10.3-i386.egg drwxr-xr-x 11 root admin 374 Apr 17 15:03 matplotlib-0.98pre- py2.5-macosx-10.5-i386.egg drwxr-xr-x 5 root admin 170 Apr 30 16:38 nose-0.10.1-py2.5.egg drwxr-xr-x 4 root admin 136 Apr 17 15:03 numpy-1.0.5.dev4954- py2.5-macosx-10.5-i386.egg drwxr-xr-x 4 root admin 136 Apr 30 16:48 numpy-1.1.0.dev5077- py2.5-macosx-10.3-i386.egg drwxr-xr-x 4 root admin 136 Apr 17 15:04 pymc-2.0DEV_r686-py2.5- macosx-10.3-i386.egg drwxr-xr-x 4 root admin 136 Apr 30 16:49 pymc-2.0DEV_r709-py2.5- macosx-10.3-i386.egg drwxr-xr-x 6 root admin 204 Apr 17 15:04 readline-2.5.1-py2.5- macosx-10.5-i386.egg drwxr-xr-x 4 root admin 136 Apr 17 15:04 scipy-0.7.0.dev4075- py2.5-macosx-10.5-i386.egg drwxr-xr-x 4 root admin 136 Apr 30 16:48 scipy-0.7.0.dev4174- py2.5-macosx-10.3-i386.egg -rw-r--r-- 1 root admin 324858 Apr 17 15:03 setuptools-0.6c8- py2.5.egg -rw-r--r-- 1 root admin 29 Apr 30 16:41 setuptools.pth The easy-install.pth file looks like this: import sys; sys.__plen = len(sys.path) ./setuptools-0.6c8-py2.5.egg ./readline-2.5.1-py2.5-macosx-10.5-i386.egg ./ipython-0.8.3.svn.r3001-py2.5.egg ./numpy-1.1.0.dev5077-py2.5-macosx-10.3-i386.egg ./matplotlib-0.98pre-py2.5-macosx-10.3-i386.egg ./scipy-0.7.0.dev4174-py2.5-macosx-10.3-i386.egg ./pymc-2.0DEV_r709-py2.5-macosx-10.3-i386.egg ./nose-0.10.1-py2.5.egg ./basemap-0.9.9.1-py2.5-macosx-10.5-i386.egg import sys; new=sys.path[sys.__plen:]; del sys.path[sys.__plen:]; p=getattr(sys,'__egginsert',0); sys.path[p:p]=new; sys.__egginsert = p +len(new) - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] problems installing matplotlib on RHEL5 with easy_install
I'm experimenting with installing a full python/numpy/scipy/matplotlib etc. suite on a RedHat Enterprise 5 system, and trying to document what would be the simplest procedure to accomplish each step. I managed to install numpy using easy_install, but when I tried to install matplotlib using the same tool, I get the following errors: error: Setup script exited with error: Command gcc -pthread -fno- strict-aliasing -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes - fPIC -I/usr/local/include -I/usr/include -I. -I/usr/local/include/ freetype2 -I/usr/include/freetype2 -I./freetype2 -I/usr/local/include/ python2.5 -c src/ft2font.cpp -o build/temp.linux-x86_64-2.5/src/ ft2font.o failed with exit status 1 Exception exceptions.OSError: (2, 'No such file or directory', 'src/ image.cpp') in bound method CleanUpFile.__del__ of setupext.CleanUpFile instance at 0x1150f710 ignored Exception exceptions.OSError: (2, 'No such file or directory', 'src/ transforms.cpp') in bound method CleanUpFile.__del__ of setupext.CleanUpFile instance at 0x11510950 ignored Exception exceptions.OSError: (2, 'No such file or directory', 'src/ backend_agg.cpp') in bound method CleanUpFile.__del__ of setupext.CleanUpFile instance at 0x1150f3f8 ignored Any tips? Do I need to install some sort of back-end infrastructure first? I'll be happy to provide more detailed error messages, or do some basic tests. Thanks, Mike -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How to close the figure after show it?
I think f = figure();
...
pylab.close(f);
should work.
--Mike
On Mar 20, 2008, at 2:14 PM, Fans Gnu wrote:
Hi All,
I am using matplotlab to plot some figure. I would like to close
the figure after show it 5 sec. My code is pasted below. However, I
can not close the figure automatically. Can anyone help me to fix it?
Thanks,
Brook
==
import time
from pylab import *
from matplotlib import *
x=**
y=**
x2=**
y2=***
figure()
hold(True)
plot(x,y)
plot(x2,y2,'g^')
axis([0, 100, 0, 100])
title('Pylab plot')
xlabel('X')
ylabel('Y')
grid()
pylab.show()
time.sleep(5)
pylab.close()
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[Matplotlib-users] fill() function
I realize I was probably too wordy the first time I posted this: Does anyone know how to specify arbitrary colors to the fill() function? None of the following methods I tried seemed to work: ax.fill(array([0.25,0.75,0.75,0.25,0.25]),array ([0.75,0.75,0.25,0.25,0.75]),'#FF') ax.fill(array([0.25,0.75,0.75,0.25,0.25]),array ([0.75,0.75,0.25,0.25,0.75]),color='#FF') ax.fill(array([0.25,0.75,0.75,0.25,0.25]),array ([0.75,0.75,0.25,0.25,0.75]),color=(1,0,0)) Thanks, Mike Hearne -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse012070mrt/direct/01/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] LinearSegmentedColormap
I'm trying to understand the usage of Colormaps, and
LinearSegmentedColormaps in particular.
I can create segmentdata that looks like the example at the bottom of
this message. Each color has a 3x9 list of values.
I can then construct a LinearSegmentedColormap as follows:
palette = LinearSegmentedColormap('my_colormap',cdict)
the 'N' attribute of my palette object reports that the length of the
colormap is 256. However, when I try to retrieve the color tuple for
any value above 50, I get black:
palette(51) = (0.0, 0.0, 0.0, 1.0)
Why aren't there 256 different colors in my colormap?
--Mike
cdict = {'blue': [[0.0, 1.0, 1.0],
[9.9974738e-05, 0.749019622803, 0.749019622803],
[0.001000475, 0.623529434204, 0.623529434204],
[0.0020009499, 0.498039215803, 0.498039215803],
[0.0099977648, 0.372549027205, 0.372549027205],
[0.01999553, 0.247058823705, 0.247058823705],
[0.1000149, 0.121568627656, 0.121568627656],
[0.2000298, 0.0, 0.0],
[1.0, 0.0, 0.0]],
'green': [[0.0, 1.0, 1.0],
[9.9974738e-05, 0.749019622803, 0.749019622803],
[0.001000475, 0.623529434204, 0.623529434204],
[0.0020009499, 0.498039215803, 0.498039215803],
[0.0099977648, 0.372549027205, 0.372549027205],
[0.01999553, 0.247058823705, 0.247058823705],
[0.1000149, 0.121568627656, 0.121568627656],
[0.2000298, 0.0, 0.0],
[1.0, 0.0, 0.0]],
'red': [[0.0, 1.0, 1.0],
[9.9974738e-05, 0.749019622803, 0.749019622803],
[0.001000475, 0.623529434204, 0.623529434204],
[0.0020009499, 0.498039215803, 0.498039215803],
[0.0099977648, 0.372549027205, 0.372549027205],
[0.01999553, 0.247058823705, 0.247058823705],
[0.1000149, 0.121568627656, 0.121568627656],
[0.2000298, 0.0, 0.0],
[1.0, 0.0, 0.0]]}
--
Michael Hearne
[EMAIL PROTECTED]
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
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Re: [Matplotlib-users] basemap scalebar
Jeff - I think the way GMT does it would be okay - they have a
latitude of true scale, which I usually choose as the center latitude
of the map.
I was thinking we should allow people to choose the simple or
fancy options. Do you think it will be okay to have the height of
the bar and the text offset be relative to the length of it? I
suppose if the height becomes a problem, people could use the yoffset
keyword...
--Mike
On Mar 4, 2008, at 6:05 AM, Jeff Whitaker wrote:
Michael Hearne wrote:
Jeff - That would replicate the simple scale-bar from GMT.
Below is my not-complete attempt at replicating the fancy scale
bar. It would need some options for specifying different units
(miles, nautical miles, etc.) and perhaps some more attention to
spacing of the text from the scale bar and tick marks...
--Mike
Mike: Very nice! Do you want the scale to show the true distance
on the earth (in which case the labels will vary depending on where
the label is placed), or the distance in map projection coordinates
(in which case the labels are constant)? Or perhaps a lat/lon
value could be given to specify where the scale is true?
-Jeff
from numpy import *
from matplotlib.toolkits.basemap import Basemap, pyproj
from pylab import *
# add drawscale method to Basemap class.
class Basemap2(Basemap):
def drawscale(self,lon,lat,length,yoffset=None):
draw a fancy map scale from lon-length/2,lat-yoffset to
lon-length/2,lat-yoffset, label it with actual distance in
km
length = length*1000 #input length is km
#we need 5 sets of x coordinates (in map units)
#center of scale
xc,yc = self(lon,lat)
#left edge of scale
lon1,lat1 = self(xc-length/2,yc,inverse=True)
x1,y1 = self(lon1,lat1)
#quarter scale
lon2,lat2 = self(xc-length/4,yc,inverse=True)
x2,y2 = self(lon2,lat2)
#three quarter scale
lon3,lat3 = self(xc+length/4,yc,inverse=True)
x3,y3 = self(lon3,lat3)
#right edge of scale
lon4,lat4 = self(xc+length/2,yc,inverse=True)
x4,y4 = self(lon4,lat4)
if yoffset is None: yoffset = 0.1*length
#plot top line
ytop = yc+yoffset/2
ybottom = yc-yoffset/2
ytick = ybottom - yoffset/2
ytext = ytick - yoffset/2
m.plot([x1,x4],[ytop,ytop],color='k')
#plot bottom line
m.plot([x1,x4],[ybottom,ybottom],color='k')
#plot left edge
m.plot([x1,x1],[ybottom,ytop],color='k')
#plot right edge
m.plot([x4,x4],[ybottom,ytop],color='k')
#make a filled black box from left edge to 1/4 way across
fill([x1,x2,x2,x1,x1],[ytop,ytop,ybottom,ybottom,ytop],'k')
#make a filled white box from 1/4 way across to 1/2 way across
fill([x2,xc,xc,x2,x2],[ytop,ytop,ybottom,ybottom,ytop],'w')
#make a filled white box from 1/2 way across to 3/4 way across
fill([xc,x3,x3,xc,xc],[ytop,ytop,ybottom,ybottom,ytop],'k')
#make a filled white box from 3/4 way across to end
fill([x3,x4,x4,x3,x3],[ytop,ytop,ybottom,ybottom,ytop],'w')
#plot 3 tick marks at left edge, center, and right edge
m.plot([x1,x1],[ytick,ybottom],color='k')
m.plot([xc,xc],[ytick,ybottom],color='k')
m.plot([x4,x4],[ytick,ybottom],color='k')
#label 3 tick marks
text(x1,ytext,'%d' % (0),\
horizontalalignment='center',\
verticalalignment='top',\
fontsize=9)
text(xc,ytext,'%d' % (round((length/2)/1000)),\
horizontalalignment='center',\
verticalalignment='top',\
fontsize=9)
text(x4,ytext,'%d' % (round((length)/1000)),\
horizontalalignment='center',\
verticalalignment='top',\
fontsize=9)
#put units on top
text(xc,ytop+yoffset/2,'km',\
horizontalalignment='center',\
verticalalignment='bottom',\
fontsize=9)
# setup of basemap ('lcc' = lambert conformal conic).
# use major and minor sphere radii from WGS84 ellipsoid.
m = Basemap2
(llcrnrlon=-145.5,llcrnrlat=1.,urcrnrlon=-2.566,urcrnrlat=46.352,\
rsphere=(6378137.00,6356752.3142),\
resolution='l',area_thresh=1000.,projection='lcc',\
lat_1=50.,lon_0=-107.)
# draw coastlines and political boundaries.
m.drawcoastlines()
m.fillcontinents()
# draw parallels and meridians.
# label on left, right and bottom of map.
m.drawparallels(arange(0.,80,20.),labels=[1,1,0,1])
m.drawmeridians(arange(10.,360.,30.),labels=[1,1,0,1])
# draw a line from x1,y to x2,y and label it with distance in km.
length = 3000 #kilometers
x1,y1 = 0.25*m.xmax, 0.25*m.ymax
lon1,lat1 = m(x1,y1,inverse=True)
m.drawscale(lon1,lat1,length)
title('a fancy map scale')
show()
--
Michael Hearne
[EMAIL PROTECTED] mailto:[EMAIL PROTECTED]
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc
[Matplotlib-users] basemap scalebar
Does the capability exist in basemap to create a scale bar on the map? If not, is this planned for the future? For reference, see the -L option in GMT's psbasemap, pscoast, etc. Thanks, -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse012070mrt/direct/01/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] basemap scalebar
Jeff - That would replicate the simple scale-bar from GMT. Below
is my not-complete attempt at replicating the fancy scale bar. It
would need some options for specifying different units (miles,
nautical miles, etc.) and perhaps some more attention to spacing of
the text from the scale bar and tick marks...
--Mike
from numpy import *
from matplotlib.toolkits.basemap import Basemap, pyproj
from pylab import *
# add drawscale method to Basemap class.
class Basemap2(Basemap):
def drawscale(self,lon,lat,length,yoffset=None):
draw a fancy map scale from lon-length/2,lat-yoffset to
lon-length/2,lat-yoffset, label it with actual distance in km
length = length*1000 #input length is km
#we need 5 sets of x coordinates (in map units)
#center of scale
xc,yc = self(lon,lat)
#left edge of scale
lon1,lat1 = self(xc-length/2,yc,inverse=True)
x1,y1 = self(lon1,lat1)
#quarter scale
lon2,lat2 = self(xc-length/4,yc,inverse=True)
x2,y2 = self(lon2,lat2)
#three quarter scale
lon3,lat3 = self(xc+length/4,yc,inverse=True)
x3,y3 = self(lon3,lat3)
#right edge of scale
lon4,lat4 = self(xc+length/2,yc,inverse=True)
x4,y4 = self(lon4,lat4)
if yoffset is None: yoffset = 0.1*length
#plot top line
ytop = yc+yoffset/2
ybottom = yc-yoffset/2
ytick = ybottom - yoffset/2
ytext = ytick - yoffset/2
m.plot([x1,x4],[ytop,ytop],color='k')
#plot bottom line
m.plot([x1,x4],[ybottom,ybottom],color='k')
#plot left edge
m.plot([x1,x1],[ybottom,ytop],color='k')
#plot right edge
m.plot([x4,x4],[ybottom,ytop],color='k')
#make a filled black box from left edge to 1/4 way across
fill([x1,x2,x2,x1,x1],[ytop,ytop,ybottom,ybottom,ytop],'k')
#make a filled white box from 1/4 way across to 1/2 way across
fill([x2,xc,xc,x2,x2],[ytop,ytop,ybottom,ybottom,ytop],'w')
#make a filled white box from 1/2 way across to 3/4 way across
fill([xc,x3,x3,xc,xc],[ytop,ytop,ybottom,ybottom,ytop],'k')
#make a filled white box from 3/4 way across to end
fill([x3,x4,x4,x3,x3],[ytop,ytop,ybottom,ybottom,ytop],'w')
#plot 3 tick marks at left edge, center, and right edge
m.plot([x1,x1],[ytick,ybottom],color='k')
m.plot([xc,xc],[ytick,ybottom],color='k')
m.plot([x4,x4],[ytick,ybottom],color='k')
#label 3 tick marks
text(x1,ytext,'%d' % (0),\
horizontalalignment='center',\
verticalalignment='top',\
fontsize=9)
text(xc,ytext,'%d' % (round((length/2)/1000)),\
horizontalalignment='center',\
verticalalignment='top',\
fontsize=9)
text(x4,ytext,'%d' % (round((length)/1000)),\
horizontalalignment='center',\
verticalalignment='top',\
fontsize=9)
#put units on top
text(xc,ytop+yoffset/2,'km',\
horizontalalignment='center',\
verticalalignment='bottom',\
fontsize=9)
# setup of basemap ('lcc' = lambert conformal conic).
# use major and minor sphere radii from WGS84 ellipsoid.
m = Basemap2
(llcrnrlon=-145.5,llcrnrlat=1.,urcrnrlon=-2.566,urcrnrlat=46.352,\
rsphere=(6378137.00,6356752.3142),\
resolution='l',area_thresh=1000.,projection='lcc',\
lat_1=50.,lon_0=-107.)
# draw coastlines and political boundaries.
m.drawcoastlines()
m.fillcontinents()
# draw parallels and meridians.
# label on left, right and bottom of map.
m.drawparallels(arange(0.,80,20.),labels=[1,1,0,1])
m.drawmeridians(arange(10.,360.,30.),labels=[1,1,0,1])
# draw a line from x1,y to x2,y and label it with distance in km.
length = 3000 #kilometers
x1,y1 = 0.25*m.xmax, 0.25*m.ymax
lon1,lat1 = m(x1,y1,inverse=True)
m.drawscale(lon1,lat1,length)
title('a fancy map scale')
show()
--
Michael Hearne
[EMAIL PROTECTED]
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
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Re: [Matplotlib-users] preventing extra whitespace around figure
I gave this a shot, and eps2eps seems not to have any effect on the bounding box. I've done some experiments where I reduce the bounding box by hand, which works really well - the only problem is I need a way to determine where the edge of my plot really is. In Basemap, there is a box drawn around my map. I'm pretty sure this is just the axis border, and I need to find a way to determine which of the many drawing commands in the postscript file represents this border. Is there a way to set the color of this plot box in matplotlib, so that I can use that as a clue in the postscript? Thanks, Mike On Feb 29, 2008, at 4:38 AM, Alan G Isaac wrote: I think I recall that eps2eps can reset your bounding box, if that's the problem. http://www.linuxcommand.org/man_pages/eps2eps1.html Cheers, Alan Isaac -- --- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse012070mrt/direct/01/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse012070mrt/direct/01/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] preventing extra whitespace around figure
Does anyone know of a way of preventing the generation of extra
whitespace around the edge of a figure? The code sample below
demonstrates the problem I'm having - I've tried postprocessing the
postscript output with ImageMagick's mogrify -trim, but
unfortunately it makes it into a raster image in the process, and I
really need the output to stay in vector postscript.
---
#!/usr/bin/python
from matplotlib.toolkits.basemap import Basemap
from pylab import *
clat = 21.813100
clon = 120.529800
xmin=117.629800
ymin=19.079100
xmax=123.546467
ymax=24.579100
bounds = [xmin,xmax,ymin,ymax]
figwidth = 5.4
dx = bounds[1] - bounds[0]
dy = bounds[3] - bounds[2]
clat = bounds[2] + (bounds[3] - bounds[2])/2
clon = bounds[0] + (bounds[1] - bounds[0])/2
aspect = dy/dx
figheight = aspect * figwidth
fig = figure(figsize=(figwidth,figheight))
ax1 = fig.add_axes([0,0,0.98,0.98])
m = Basemap(llcrnrlon=xmin,llcrnrlat=ymin,urcrnrlon=xmax,urcrnrlat=ymax,
rsphere=(6378137.00,6356752.3142),
resolution='h',projection='merc',
lat_ts=clat)
water_color = [.47,.60,.81]
m.drawrivers(color=water_color)
m.drawcoastlines(linewidth=0.1)
#draw inset map
ax2 = fig.add_axes((0.1,0.1,0.25,0.25))
map = Basemap(resolution='l',
projection='ortho',
lon_0=clon,lat_0=clat,ax=ax2)
print 'map created.'
map.drawcountries(linewidth=0.1,color=[0.2,0.2,0.2])
map.drawcoastlines(linewidth=0.05,color=[0.2,0.2,0.2])
map.drawlsmask((230,230,230,255),(119,155,207,255))
meridians = arange(-180,210,30)
parallels = arange(-90,120,30)
map.drawmeridians(meridians,linewidth=0.1,dashes=[1,0],color=
[0.2,0.2,0.2])
map.drawparallels(parallels,linewidth=0.1,dashes=[1,0],color=
[0.2,0.2,0.2])
pcx,pcy = map(clon,clat)
print 'Lat: %f, Lon: %f' % (clat,clon)
map.plot(array([pcx]),array([pcy]),'rD',linewidth=2,markersize=5)
map.drawmapboundary(color='k',linewidth=2.0)
savefig('maptest.eps')
close('all')
---
--
Michael Hearne
[EMAIL PROTECTED]
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
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[Matplotlib-users] Preventing overlapping text on axes
All: I'm using the text() function to place city labels on a map with Basemap. However, many of these cities are so close together that the labels overlap when they're placed on the map. Is there some way to determine the bounding box for a given text object _before_ placing it on the map, so that I can write an algorithm to detect overlaps? Alternately, if someone else has some clever way of placing non- conflicting labels on maps, I'd love to hear about it! Thanks, Mike - This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse012070mrt/direct/01/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] transparent background for encapsulated postscript output
I am using Basemap, and trying to create two maps: One large-scale map, and a small-scale inset map of the world centered on the location of the large-scale map. My ultimate goal is to create a figure where the inset map is inserted into a corner of the large-scale map. I can see two ways of doing this: 1) Create both as encapsulated postscript images separately, and put them together in a later compositing process. (I'm doing this already). 2) Create both as basemap instances, and then draw the smaller one on top of the large-scale one. I have no idea how to do this. A problem I have encountered with the first method is that my image background is set to white by default. I've tried to make it transparent by doing the following: fig = figure(figsize=(5,5),frameon=False) #turn the frame off completely fig.figurePatch.set_alpha(0.0) #tried setting this to 1.0 and 0.0, neither works Method #2 would be cleaner, if I could do what I wanted to do in terms of transparencies, but if not, I'll take method #1. Does anyone know if it is possible to set the image background transparent for encapsulated postscript output? Thanks, Mike -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] transparent background for encapsulated postscript output
Jeff - Yes, that's what I want, thanks. I think more explanation is in order - my large-scale map is the default basemap projection. The inset map of the globe is a orthogonal projection, which means it comes out as a little circle. I want to insert this smaller map into the larger one, without having to see the area around the circle. I'm having trouble explaining this... here's an example: http://earthquake.usgs.gov/eqcenter/pager/us/2007kwau/us/1/onePAGER.pdf I want to replicate the little inset globe on the map with the contours. --Mike On Dec 14, 2007, at 12:49 PM, Jeff Whitaker wrote: Michael Hearne wrote: Jeff - Darn it. So is there a way to embed an axis _inside_ another, possibly with a transparent background? --Mike Mike: Not quite sure why you need to have it transparent - you definitely can't have that with postscript, but it should be possible with the other backends (png, pdf or svg). There's an example of embedded axes at http://matplotlib.sourceforge.net/ screenshots.html (axes_demo.py). The inset axes is just drawn on top of the primary axes in the same figure. Is that what you want? -Jeff On Dec 14, 2007, at 12:28 PM, Jeff Whitaker wrote: Michael Hearne wrote: I am using Basemap, and trying to create two maps: One large-scale map, and a small-scale inset map of the world centered on the location of the large-scale map. My ultimate goal is to create a figure where the inset map is inserted into a corner of the large-scale map. I can see two ways of doing this: 1) Create both as encapsulated postscript images separately, and put them together in a later compositing process. (I'm doing this already). 2) Create both as basemap instances, and then draw the smaller one on top of the large-scale one. I have no idea how to do this. A problem I have encountered with the first method is that my image background is set to white by default. I've tried to make it transparent by doing the following: fig = figure(figsize=(5,5),frameon=False) #turn the frame off completely fig.figurePatch.set_alpha(0.0) #tried setting this to 1.0 and 0.0, neither works Method #2 would be cleaner, if I could do what I wanted to do in terms of transparencies, but if not, I'll take method #1. Does anyone know if it is possible to set the image background transparent for encapsulated postscript output? Thanks, Mike Mike: Postscript doesn't support alpha transparency. It might work with PDF though. -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : [EMAIL PROTECTED] mailto:[EMAIL PROTECTED] 325 BroadwayOffice : Skaggs Research Cntr 1D-124 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg -- Michael Hearne [EMAIL PROTECTED] mailto:[EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : [EMAIL PROTECTED] 325 BroadwayOffice : Skaggs Research Cntr 1D-124 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] transparent background for encapsulated postscript output
Jeff - Yes! I'm working on implementing this now for my app... FYI, I got the following error: TypeError: drawmapboundary() got an unexpected keyword argument 'fill_color' and again for 'lake_color' on the fillcontinents() method. I'm using 0.9.7, which I think is the latest released version... --Mike On Dec 14, 2007, at 1:31 PM, Jeff Whitaker wrote: from matplotlib.toolkits.basemap import Basemap import pylab fig = pylab.figure() ax1 = fig.add_axes([0.1,0.1,0.8,0.8]) m = Basemap(ax=ax1) m.drawcoastlines(linewidth=0.5) m.fillcontinents() ax2 = fig.add_axes([0.1,0.425,0.15,0.15]) m2 = Basemap(projection='ortho',lon_0=-105,lat_0=40,ax=ax2) m2.drawmapboundary(fill_color='aqua') m2.drawcoastlines(linewidth=0.1) m2.fillcontinents(color='coral',lake_color='aqua') pylab.show() -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] labeling contours with roman numerals
I've seen this, but I'm not clever enough to see how to extend that
to multiple levels - after all, I don't want to label every line with
the same string...
--Mike
On Dec 14, 2007, at 3:20 PM, Mark Bakker wrote:
Michael -
This trick for replacing contour labels with a string was posted a
little while back (by someone else):
class FormatFaker(object):
def __init__(self, str): self.str = str
def __mod__(self, stuff): return self.str
A=arange(100).reshape(10,10)
CS=contour(A,[50,])
CS.clabel(fmt=FormatFaker('Some String'))
From: Michael Hearne [EMAIL PROTECTED]
Subject: [Matplotlib-users] labeling contours with roman numerals
To: Matplotlib Users matplotlib-users@lists.sourceforge.net
Message-ID: [EMAIL PROTECTED]
Content-Type: text/plain; charset=us-ascii
Does a LineCollection generated by contour() have a property that
holds the labels? I would like to label my contour lines with roman
numerals, and cannot figure out how to get clabel to do that.
Thanks,
Mike
--
Michael Hearne
[EMAIL PROTECTED]
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
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[Matplotlib-users] labeling contours with roman numerals
Does a LineCollection generated by contour() have a property that holds the labels? I would like to label my contour lines with roman numerals, and cannot figure out how to get clabel to do that. Thanks, Mike -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] setting figure extent to only include extent of Axes
All: I have an issue I'm hoping someone here can help with. I've created a encapsulated postscript figure from pylab (basemap, actually, but it shouldn't make a difference), and I'd like to have the entire saved image be the extent of the axes, with no border whatsoever. Is there a way to set the extent of either the axes or the figure so that this is so? And before someone points this out to me - yes, I realize that there are other tools (ImageMagick, for example) I could use to trim the whitespace around the edge of the image, but this is part of an automated system and I'd prefer not to have to bomb out to a shell for something like that. Thanks, Mike -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] converting GMT color palettes to pylab colormaps
Does anyone here have any experience converting GMT color palettes
into pylab colormaps? I took a stab at it, and the results are not
really what I expected.
GMT, for the unfamiliar, is a scientific plotting/mapping package
that I'm doing my best to rid myself of. If you've never heard of
it, then you can probably ignore this message.
Here's my attempt at bringing in a GMT color palette:
#!/usr/bin/python
from pylab import *
#GMT color palette - Colors are specified by a RGB triplet with each
value in the range
#0-255. The palette below specifies that a data value between 1 and
2 will be assigned a color
#linearly interpreted between the colors (255,255,255) and
(191,204,255).
# 0 255 255 255 1 255 255 255
# 1 255 255 255 2 191 204 255
# 2 191 204 255 3 160 230 255
# 3 160 230 255 4 128 255 255
# 4 128 255 255 5 122 255 147
# 5 122 255 147 6 255 255 0
# 6 255 255 0 7 255 200 0
# 7 255 200 0 8 255 145 0
# 8 255 145 0 9 255 0 0
# 9 255 0 0 10 200 0 0
# 10 200 0 0 13 128 0 0
cdict = {'red': ((0.0,1.00,1.0),
(0.1,1.00,0.75),
(0.2,0.75,0.63),
(0.3,0.63,0.50),
(0.4,0.50,0.48),
(0.5,0.48,1.00),
(0.6,1.00,1.00),
(0.7,1.00,1.00),
(0.8,1.00,1.00),
(0.9,1.00,0.78),
(1.0,0.78,0.50)),
'green': ((0.0,1.00,1.00),
(0.1,1.00,0.80),
(0.2,0.80,0.90),
(0.3,0.90,1.00),
(0.4,1.00,1.00),
(0.5,1.00,1.00),
(0.6,1.00,0.78),
(0.7,0.78,0.57),
(0.8,0.57,0.00),
(0.9,0.00,0.00),
(1.0,0.00,0.00)),
'blue': ((0.0,1.00,1.00),
(0.1,1.00,1.00),
(0.2,1.00,1.00),
(0.3,1.00,1.00),
(0.4,1.00,0.58),
(0.5,0.58,0.00),
(0.6,0.00,0.00),
(0.7,0.00,0.00),
(0.8,0.00,0.00),
(0.9,0.00,0.00),
(1.0,0.00,0.00))}
my_cmap = matplotlib.colors.LinearSegmentedColormap('my_colormap',cdict)
pcolor(rand(10,10),cmap=my_cmap)
colorbar()
savefig('colormap.png')
--
Michael Hearne
[EMAIL PROTECTED]
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
--
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Re: [Matplotlib-users] Basemap questions
Pierre - That's great. As soon as I get the zorder problem figured out (can't have land AND ocean masks on!) , I'll give your solution a try. One question regarding - I found this page: http://trac.osgeo.org/gdal/wiki/GdalOgrInPython but it wasn't immediately apparent how to _get_ it. Do I have to download/build ogr first, then install the python bindings? --Mike On Nov 2, 2007, at 10:06 AM, Pierre GM wrote: On Friday 02 November 2007 11:51:55 Michael Hearne wrote: 2) Has anyone figured out a way to make an _ocean_ mask? I need my map to look like this Assuming that you have gdal installed, you can use this set of functions. Basically, you use OGR to compute the differences between the background and the land polygons... Works fine for my applications (I interpolate some rainfall fields over AL/GA/FL, and need to hide the interpolated values in the Gulf of Mexico), but might still be a tad buggy. Please don't hesittate to contact me if you need help with that. #- - # --- OGR conversion --- #- - import ogr def polygon_to_geometry(polygon): Creates a new ogr.Geometry object from a matplolib.Polygon. if not isinstance(polygon, Polygon): raise TypeError, The input data should be a valid Polygon object! listvert = [%s %s % (x,y) for (x,y) in polygon.get_verts()] listvert.append(listvert[0]) return ogr.CreateGeometryFromWkt(POLYGON ((%s)) % ','.join (listvert)) #- # OGR to matplotlib --- #- def _geometry_to_vertices(geometry): Creates a list of vertices (x,y) from the current geometry. verts = [] for nl in range(geometry.GetGeometryCount()): line = geometry.GetGeometryRef(nl) points = [(line.GetX(i), line.GetY(i)) for i in range(line.GetPointCount())] verts.append(points) return verts def geometry_to_vertices(geometry): Creates lists of vertices (x,y) from the current geometry. if not isinstance(geometry, ogr.Geometry): raise TypeError, The input data should be a valid ogr.Geometry object! vertices = [] # if geometry.GetGeometryType() == ogr.wkbPolygon: vertices.extend(_geometry_to_vertices(geometry)) elif geometry.GetGeometryType() == ogr.wkbMultiPolygon: for np in range(geometry.GetGeometryCount()): poly = geometry.GetGeometryRef(np) vertices.extend(_geometry_to_vertices(poly)) return vertices #- - # --- Add-ons #- - def fillwaterbodies(basemap, color='blue', inlands=True, ax=None, zorder=None): Fills the water bodies with color. If inlands is True, inland water bodies are also filled. :Inputs: basemap : Basemap The basemap on which to fill. color : string/RGBA tuple *['blue']* Filling color inlands : boolean *[True]* Whether inland water bodies should be filled. ax : Axes instance *[None]* Axe on which to plot. If None, the current axe is selected. zorder : integer *[None]* zorder of the water bodies polygons. if not isinstance(basemap, Basemap): raise TypeError, The input basemap should be a valid Basemap object! # if ax is None and basemap.ax is None: try: ax = pylab.gca() except: import pylab ax = pylab.gca() # coastpolygons = basemap.coastpolygons coastpolygontypes = basemap.coastpolygontypes (llx, lly) = (basemap.llcrnrx, basemap.llcrnry) (urx, ury) = (basemap.urcrnrx,basemap.urcrnry) background = Polygon([(llx, lly), (urx, lly), (urx, ury), (llx, ury)]) # ogr_background = polygon_to_geometry(background) inland_polygons = [] # for (poly, polytype) in zip(coastpolygons, coastpolygontypes): if polytype != 2: verts = [%s %s % (x,y) for (x,y) in zip(*poly)] ogr_poly = ogr.CreateGeometryFromWkt(POLYGON ((%s)) % ','.join(verts)) ogr_background = ogr_background.Difference(ogr_poly) else: inland_polygons.append(Polygon(zip(*poly), facecolor=color, edgecolor=color, linewidth=0)) # background = geometry_to_vertices(ogr_background) for xy in background: patch = Polygon(xy, facecolor=color, edgecolor=color, linewidth=0) if zorder is not None: patch.set_zorder(zorder) ax.add_patch(patch) # if inlands
Re: [Matplotlib-users] Basemap questions
Jeff - I looked at that example file, and I think there's a big difference - your etopo base data set is global, and you can plot over the data in the oceans by setting the mask on all pixels less than zero. My dataset (a map of earthquake shaking) is not global, and actually has NO missing data. I think I need a way to clip the data by the land mask - that is, find all of the pixels that are NOT on land, and then mask them off. Is there an easy way to do this with matplotlib/basemap tools? Regarding my other issue - I used my script to test x/y offset values: [0.05,0.1,0.5,1.0,10] and couldn't see any difference. I'd be more than happy to provide test output, or debugging information... Just to be clear - these offsets are supposed to move the meridian and/or parallel labels around with respect to the map edge? My actual goal is to get the labels inside the edge of the map (I tried negative numbers to accomplish this, to no effect.) On a positive note, I _can_ make solid lines! Thanks for all of your help, Mike On Nov 2, 2007, at 11:47 AM, Jeff Whitaker wrote: Michael Hearne wrote: I have two questions: 1) The fillcontinents() method has a zorder keyword parameter. Is this supposed to work with imshow()? I have the latest tarball from the website, and I can't get my image to paint on top of the continents. 2) Has anyone figured out a way to make an _ocean_ mask? I need my map to look like this ( http://earthquake.usgs.gov/eqcenter/pager/us/2007itah/us/5/ shakemap.600.jpg) , where the image data (the yellow and orange bits) that extends out beyond the land boundary is masked by a blue ocean. Thanks, Mike Mike: You can set the background color for the axes instance to blue, and then draw the filled continents over it. You'll also have to make your image a masked array, and set the missing values to be transparent. The basemap examples plotmap_masked.py shows how to do both of these things. -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : [EMAIL PROTECTED] 325 BroadwayOffice : Skaggs Research Cntr 1D-124 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - This SF.net email is sponsored by: Splunk Inc. Still grepping through log files to find problems? Stop. Now Search log events and configuration files using AJAX and a browser. Download your FREE copy of Splunk now http://get.splunk.com/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Basemap questions
Jeff - My data set is actually dynamically generated by a program called ShakeMap. It's a 2D grid, with an extent usually about 600 kilometers on a side, centered wherever the earthquake happened to be. The ShakeMap program does not know or care that some of the data may be under water, but for display purposed, I do! The grid is also in a geographic projection (latitude/longitude coordinates assumed to be cartesian). So in this test instance (on a data set near Taiwan), my map width is about 5.91 degrees longitude, and my height is about 5.5 degrees latitude. If I set xoffset=-0.01*5.91, I get -0.05. This is not noticeably different than the default. Is the problem that my dataset is not projected? --Mike On Nov 2, 2007, at 1:33 PM, Jeff Whitaker wrote: Michael Hearne wrote: Jeff - I looked at that example file, and I think there's a big difference - your etopo base data set is global, and you can plot over the data in the oceans by setting the mask on all pixels less than zero. My dataset (a map of earthquake shaking) is not global, and actually has NO missing data. I think I need a way to clip the data by the land mask - that is, find all of the pixels that are NOT on land, and then mask them off. Mike: If it's not global, is it just defined for land points? If so, it can't be a 2-D grid, so you won't be able to plot it with imshow anyway. Can you explain the structure of the data? Is there an easy way to do this with matplotlib/basemap tools? Not really. You'll have to define a sea mask for your grid and use that the create a masked array. There is a land-sea mask dataset included in basemap, but it may not match the resolution of your grid. Regarding my other issue - I used my script to test x/y offset values: [0.05,0.1,0.5,1.0,10] and couldn't see any difference. I'd be more than happy to provide test output, or debugging information... Just to be clear - these offsets are supposed to move the meridian and/or parallel labels around with respect to the map edge? My actual goal is to get the labels inside the edge of the map (I tried negative numbers to accomplish this, to no effect.) You need to define an offset as a fraction of the map width - the numbers you are giving are too small to notice any difference. As I said before, try something like -0.01*(m.max-m.min). On a positive note, I _can_ make solid lines! Good! -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : [EMAIL PROTECTED] 325 BroadwayOffice : Skaggs Research Cntr 1D-124 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - This SF.net email is sponsored by: Splunk Inc. Still grepping through log files to find problems? Stop. Now Search log events and configuration files using AJAX and a browser. Download your FREE copy of Splunk now http://get.splunk.com/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
