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From: antonv <vasilescu_anton@ya...>  20090413 04:24:07

 View this message in context: http://www.nabble.com/basemaperrororusererrortp23017751p23017751.html Sent from the matplotlib  users mailing list archive at Nabble.com. 
From: antonv <vasilescu_anton@ya...>  20090413 04:41:50

Hi all, I have a weird thing happening with basemap and I am not sure if it's basemap or me, but more than likely it's me :( Here is the grib file that I am using: http://downloads.75ive.com/multi_1.20090321.t18z_multi_1.wc_10m.all.grb2 http://downloads.75ive.com/multi_1.20090321.t18z_multi_1.wc_10m.all.grb2 And here is my code: ############################################# import matplotlib import matplotlib.mpl as mpl import matplotlib.pyplot as plt import matplotlib.mlab as mlab import numpy as np import matplotlib.pylab as pylab from mpl_toolkits.basemap import Basemap from grib2 import Grib2Decode grbs = Grib2Decode('multi_1.20090321.t18z_multi_1.wc_10m.all.grb2') lats, lons = grbs[0].grid() mapCoords = [32.35,121.0,34.75,116.75] #mapCoords = [lats.min(),lons.min(),lats.max(),lons.max()] colorList = [[0.,0.,205./255.],[0,102./255.,255./255.],[0,183./255.,255./255.],[0,224./255.,255./255.], [0,255./255.,255./255.],[0,255./255.,204./255.],[0,255./255.,153./255.],[0,255./255.,0], [153./255.,255./255.,0],[204./255.,255./255.,0],[255./255.,255./255.,0],[255./255.,204./255.,0], [255./255.,153./255.,0],[255./255.,102./255.,0],[255./255.,0,0],[176./255.,48./255.,96./255.], [208./255.,32./255.,144./255.],[255./255.,0,255./255.]] cmap = matplotlib.colors.ListedColormap(colorList, name = 'theColorMap', N = len(colorList)) m = Basemap(projection='merc',lat_ts = 30,\ llcrnrlat=mapCoords[0],llcrnrlon=mapCoords[1],urcrnrlat=mapCoords[2],urcrnrlon=mapCoords[3],\ resolution='h',area_thresh=0.5, suppress_ticks = True) fig = plt.figure(figsize=(14.58,10.58)) fig.set_dpi(100) nlats, nlons = grbs[0].data().shape x = np.linspace(lons.min(),lons.max(),nlons) y = np.linspace(lats.min(),lats.max(),nlats) X, Y = m(*np.meshgrid(x, y)) z = grbs[0].data().filled(1) m.contourf(X,Y,z,cmap=cmap,levels=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19],extend='both') m.fillcontinents(color='green',lake_color='b') m.drawcoastlines(color='k', linewidth=0.75) m.drawcountries(color='k', linewidth=0.25) m.drawstates(color='k', linewidth=0.25) m.drawmapboundary(linewidth=1.0, color='k') plt.show() ############################################# If you look at lines 14 and 15 you can see that i have a variable called mapCoords that feeds the lat/lon coordinates to the basemap object. If i set them up using the commented line (line 15) it will plot the map for all the data in the file and it will display it correctly. If i use line 14 which is the zoomed area that i am interested in it will display the basemap map correctly zoomed in but it will not show the plotted data. Any ideas on what is happening here? Also, if you have any comments on optimizing the code I would really appreciate it! Thanks, Anton  View this message in context: http://www.nabble.com/basemaperrororusererrortp23017806p23017806.html Sent from the matplotlib  users mailing list archive at Nabble.com. 
From: Jeff Whitaker <jswhit@fa...>  20090413 14:46:21

antonv wrote: > Hi all, > > I have a weird thing happening with basemap and I am not sure if it's > basemap or me, but more than likely it's me :( > > Here is the grib file that I am using: > http://downloads.75ive.com/multi_1.20090321.t18z_multi_1.wc_10m.all.grb2 > http://downloads.75ive.com/multi_1.20090321.t18z_multi_1.wc_10m.all.grb2 > > And here is my code: > ############################################# > import matplotlib > import matplotlib.mpl as mpl > import matplotlib.pyplot as plt > import matplotlib.mlab as mlab > import numpy as np > import matplotlib.pylab as pylab > from mpl_toolkits.basemap import Basemap > from grib2 import Grib2Decode > > grbs = Grib2Decode('multi_1.20090321.t18z_multi_1.wc_10m.all.grb2') > > lats, lons = grbs[0].grid() > mapCoords = [32.35,121.0,34.75,116.75] > #mapCoords = [lats.min(),lons.min(),lats.max(),lons.max()] > > colorList = > [[0.,0.,205./255.],[0,102./255.,255./255.],[0,183./255.,255./255.],[0,224./255.,255./255.], > > [0,255./255.,255./255.],[0,255./255.,204./255.],[0,255./255.,153./255.],[0,255./255.,0], > > [153./255.,255./255.,0],[204./255.,255./255.,0],[255./255.,255./255.,0],[255./255.,204./255.,0], > > [255./255.,153./255.,0],[255./255.,102./255.,0],[255./255.,0,0],[176./255.,48./255.,96./255.], > [208./255.,32./255.,144./255.],[255./255.,0,255./255.]] > cmap = matplotlib.colors.ListedColormap(colorList, name = 'theColorMap', N = > len(colorList)) > > m = Basemap(projection='merc',lat_ts = 30,\ > > llcrnrlat=mapCoords[0],llcrnrlon=mapCoords[1],urcrnrlat=mapCoords[2],urcrnrlon=mapCoords[3],\ > resolution='h',area_thresh=0.5, suppress_ticks = True) > > fig = plt.figure(figsize=(14.58,10.58)) > fig.set_dpi(100) > > nlats, nlons = grbs[0].data().shape > > x = np.linspace(lons.min(),lons.max(),nlons) > y = np.linspace(lats.min(),lats.max(),nlats) > > X, Y = m(*np.meshgrid(x, y)) > > z = grbs[0].data().filled(1) > > m.contourf(X,Y,z,cmap=cmap,levels=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19],extend='both') > > m.fillcontinents(color='green',lake_color='b') > m.drawcoastlines(color='k', linewidth=0.75) > m.drawcountries(color='k', linewidth=0.25) > m.drawstates(color='k', linewidth=0.25) > m.drawmapboundary(linewidth=1.0, color='k') > > plt.show() > ############################################# > > If you look at lines 14 and 15 you can see that i have a variable called > mapCoords that feeds the lat/lon coordinates to the basemap object. If i set > them up using the commented line (line 15) it will plot the map for all the > data in the file and it will display it correctly. If i use line 14 which is > the zoomed area that i am interested in it will display the basemap map > correctly zoomed in but it will not show the plotted data. Any ideas on what > is happening here? > > Also, if you have any comments on optimizing the code I would really > appreciate it! > > Thanks, > Anton > > Anton: Probably your data doesn't cover the zoomed region, but without actually having your data I can't be sure. One question: why are you rebuilding the lons and lats from scratch when you already have them? It seems like you can get rid of nlats, nlons = grbs[0].data().shape x = np.linspace(lons.min(),lons.max(),nlons) y = np.linspace(lats.min(),lats.max(),nlats) X, Y = m(*np.meshgrid(x, y)) and replace it with X,Y = m(lons, lats) Jeff  Jeffrey S. Whitaker Phone : (303)4976313 Meteorologist FAX : (303)4976449 NOAA/OAR/PSD R/PSD1 Email : Jeffrey.S.Whitaker@... 325 Broadway Office : Skaggs Research Cntr 1D113 Boulder, CO, USA 803033328 Web : http://tinyurl.com/5telg 
From: antonv <vasilescu_anton@ya...>  20090414 00:11:09

Jeff, thanks for the comment on rebuilding the lons and lats! I have attached 2 images, one that is from the whole data in the file and the other the zoomed version. http://www.nabble.com/file/p23031035/basemap_all.png basemap_all.png http://www.nabble.com/file/p23031035/basemap_zoom.png basemap_zoom.png What seems to be happening is that the coordinates seem to be in different projections as the values of lats.min(),lons.min(),lats.max(),lons.max() are 25.0,210.0,50.0,250.0 while the list I'm providing is 32.35,121.0,34.75,116.75. Any ideas on why basemap seems to be reading both coordinate lists and provides the proper land contours while contourf seems to be off? Thanks, Anton Jeff Whitaker wrote: > > antonv wrote: >> Hi all, >> >> I have a weird thing happening with basemap and I am not sure if it's >> basemap or me, but more than likely it's me :( >> >> Here is the grib file that I am using: >> http://downloads.75ive.com/multi_1.20090321.t18z_multi_1.wc_10m.all.grb2 >> http://downloads.75ive.com/multi_1.20090321.t18z_multi_1.wc_10m.all.grb2 >> >> And here is my code: >> ############################################# >> import matplotlib >> import matplotlib.mpl as mpl >> import matplotlib.pyplot as plt >> import matplotlib.mlab as mlab >> import numpy as np >> import matplotlib.pylab as pylab >> from mpl_toolkits.basemap import Basemap >> from grib2 import Grib2Decode >> >> grbs = Grib2Decode('multi_1.20090321.t18z_multi_1.wc_10m.all.grb2') >> >> lats, lons = grbs[0].grid() >> mapCoords = [32.35,121.0,34.75,116.75] >> #mapCoords = [lats.min(),lons.min(),lats.max(),lons.max()] >> >> colorList = >> [[0.,0.,205./255.],[0,102./255.,255./255.],[0,183./255.,255./255.],[0,224./255.,255./255.], >> >> [0,255./255.,255./255.],[0,255./255.,204./255.],[0,255./255.,153./255.],[0,255./255.,0], >> >> [153./255.,255./255.,0],[204./255.,255./255.,0],[255./255.,255./255.,0],[255./255.,204./255.,0], >> >> [255./255.,153./255.,0],[255./255.,102./255.,0],[255./255.,0,0],[176./255.,48./255.,96./255.], >> [208./255.,32./255.,144./255.],[255./255.,0,255./255.]] >> cmap = matplotlib.colors.ListedColormap(colorList, name = 'theColorMap', >> N = >> len(colorList)) >> >> m = Basemap(projection='merc',lat_ts = 30,\ >> >> llcrnrlat=mapCoords[0],llcrnrlon=mapCoords[1],urcrnrlat=mapCoords[2],urcrnrlon=mapCoords[3],\ >> resolution='h',area_thresh=0.5, suppress_ticks = True) >> >> fig = plt.figure(figsize=(14.58,10.58)) >> fig.set_dpi(100) >> >> nlats, nlons = grbs[0].data().shape >> >> x = np.linspace(lons.min(),lons.max(),nlons) >> y = np.linspace(lats.min(),lats.max(),nlats) >> >> X, Y = m(*np.meshgrid(x, y)) >> >> z = grbs[0].data().filled(1) >> >> m.contourf(X,Y,z,cmap=cmap,levels=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19],extend='both') >> >> m.fillcontinents(color='green',lake_color='b') >> m.drawcoastlines(color='k', linewidth=0.75) >> m.drawcountries(color='k', linewidth=0.25) >> m.drawstates(color='k', linewidth=0.25) >> m.drawmapboundary(linewidth=1.0, color='k') >> >> plt.show() >> ############################################# >> >> If you look at lines 14 and 15 you can see that i have a variable called >> mapCoords that feeds the lat/lon coordinates to the basemap object. If i >> set >> them up using the commented line (line 15) it will plot the map for all >> the >> data in the file and it will display it correctly. If i use line 14 which >> is >> the zoomed area that i am interested in it will display the basemap map >> correctly zoomed in but it will not show the plotted data. Any ideas on >> what >> is happening here? >> >> Also, if you have any comments on optimizing the code I would really >> appreciate it! >> >> Thanks, >> Anton >> >> > Anton: Probably your data doesn't cover the zoomed region, but without > actually having your data I can't be sure. > > One question: why are you rebuilding the lons and lats from scratch > when you already have them? It seems like you can get rid of > > nlats, nlons = grbs[0].data().shape > x = np.linspace(lons.min(),lons.max(),nlons) > y = np.linspace(lats.min(),lats.max(),nlats) > X, Y = m(*np.meshgrid(x, y)) > > and replace it with > > X,Y = m(lons, lats) > > > Jeff > >  > Jeffrey S. Whitaker Phone : (303)4976313 > Meteorologist FAX : (303)4976449 > NOAA/OAR/PSD R/PSD1 Email : Jeffrey.S.Whitaker@... > 325 Broadway Office : Skaggs Research Cntr 1D113 > Boulder, CO, USA 803033328 Web : http://tinyurl.com/5telg > > >  > This SF.net email is sponsored by: > High Quality Requirements in a Collaborative Environment. > Download a free trial of Rational Requirements Composer Now! > http://p.sf.net/sfu/wwwibmcom > _______________________________________________ > Matplotlibusers mailing list > Matplotlibusers@... > https://lists.sourceforge.net/lists/listinfo/matplotlibusers > >  View this message in context: http://www.nabble.com/basemaperrororusererrortp23017806p23031035.html Sent from the matplotlib  users mailing list archive at Nabble.com. 
From: Jeff Whitaker <jswhit@fa...>  20090414 11:39:26

antonv wrote: > Jeff, thanks for the comment on rebuilding the lons and lats! > > I have attached 2 images, one that is from the whole data in the file and > the other the zoomed version. > http://www.nabble.com/file/p23031035/basemap_all.png basemap_all.png > http://www.nabble.com/file/p23031035/basemap_zoom.png basemap_zoom.png > > What seems to be happening is that the coordinates seem to be in different > projections as the values of lats.min(),lons.min(),lats.max(),lons.max() are > 25.0,210.0,50.0,250.0 while the list I'm providing is > 32.35,121.0,34.75,116.75. Anton: Try using (32.35, 239,34.75,243.25). The longitudes in your data probably go from 0 to 360, so negative longitudes are outside the region spanned by your data. Jeff > Any ideas on why basemap seems to be reading > both coordinate lists and provides the proper land contours while contourf > seems to be off? > > Thanks, > Anton > > > > > > > Jeff Whitaker wrote: > >> antonv wrote: >> >>> Hi all, >>> >>> I have a weird thing happening with basemap and I am not sure if it's >>> basemap or me, but more than likely it's me :( >>> >>> Here is the grib file that I am using: >>> http://downloads.75ive.com/multi_1.20090321.t18z_multi_1.wc_10m.all.grb2 >>> http://downloads.75ive.com/multi_1.20090321.t18z_multi_1.wc_10m.all.grb2 >>> >>> And here is my code: >>> ############################################# >>> import matplotlib >>> import matplotlib.mpl as mpl >>> import matplotlib.pyplot as plt >>> import matplotlib.mlab as mlab >>> import numpy as np >>> import matplotlib.pylab as pylab >>> from mpl_toolkits.basemap import Basemap >>> from grib2 import Grib2Decode >>> >>> grbs = Grib2Decode('multi_1.20090321.t18z_multi_1.wc_10m.all.grb2') >>> >>> lats, lons = grbs[0].grid() >>> mapCoords = [32.35,121.0,34.75,116.75] >>> #mapCoords = [lats.min(),lons.min(),lats.max(),lons.max()] >>> >>> colorList = >>> [[0.,0.,205./255.],[0,102./255.,255./255.],[0,183./255.,255./255.],[0,224./255.,255./255.], >>> >>> [0,255./255.,255./255.],[0,255./255.,204./255.],[0,255./255.,153./255.],[0,255./255.,0], >>> >>> [153./255.,255./255.,0],[204./255.,255./255.,0],[255./255.,255./255.,0],[255./255.,204./255.,0], >>> >>> [255./255.,153./255.,0],[255./255.,102./255.,0],[255./255.,0,0],[176./255.,48./255.,96./255.], >>> [208./255.,32./255.,144./255.],[255./255.,0,255./255.]] >>> cmap = matplotlib.colors.ListedColormap(colorList, name = 'theColorMap', >>> N = >>> len(colorList)) >>> >>> m = Basemap(projection='merc',lat_ts = 30,\ >>> >>> llcrnrlat=mapCoords[0],llcrnrlon=mapCoords[1],urcrnrlat=mapCoords[2],urcrnrlon=mapCoords[3],\ >>> resolution='h',area_thresh=0.5, suppress_ticks = True) >>> >>> fig = plt.figure(figsize=(14.58,10.58)) >>> fig.set_dpi(100) >>> >>> nlats, nlons = grbs[0].data().shape >>> >>> x = np.linspace(lons.min(),lons.max(),nlons) >>> y = np.linspace(lats.min(),lats.max(),nlats) >>> >>> X, Y = m(*np.meshgrid(x, y)) >>> >>> z = grbs[0].data().filled(1) >>> >>> m.contourf(X,Y,z,cmap=cmap,levels=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19],extend='both') >>> >>> m.fillcontinents(color='green',lake_color='b') >>> m.drawcoastlines(color='k', linewidth=0.75) >>> m.drawcountries(color='k', linewidth=0.25) >>> m.drawstates(color='k', linewidth=0.25) >>> m.drawmapboundary(linewidth=1.0, color='k') >>> >>> plt.show() >>> ############################################# >>> >>> If you look at lines 14 and 15 you can see that i have a variable called >>> mapCoords that feeds the lat/lon coordinates to the basemap object. If i >>> set >>> them up using the commented line (line 15) it will plot the map for all >>> the >>> data in the file and it will display it correctly. If i use line 14 which >>> is >>> the zoomed area that i am interested in it will display the basemap map >>> correctly zoomed in but it will not show the plotted data. Any ideas on >>> what >>> is happening here? >>> >>> Also, if you have any comments on optimizing the code I would really >>> appreciate it! >>> >>> Thanks, >>> Anton >>> >>> >>> >> Anton: Probably your data doesn't cover the zoomed region, but without >> actually having your data I can't be sure. >> >> One question: why are you rebuilding the lons and lats from scratch >> when you already have them? It seems like you can get rid of >> >> nlats, nlons = grbs[0].data().shape >> x = np.linspace(lons.min(),lons.max(),nlons) >> y = np.linspace(lats.min(),lats.max(),nlats) >> X, Y = m(*np.meshgrid(x, y)) >> >> and replace it with >> >> X,Y = m(lons, lats) >> >> >> Jeff >> >>  >> Jeffrey S. Whitaker Phone : (303)4976313 >> Meteorologist FAX : (303)4976449 >> NOAA/OAR/PSD R/PSD1 Email : Jeffrey.S.Whitaker@... >> 325 Broadway Office : Skaggs Research Cntr 1D113 >> Boulder, CO, USA 803033328 Web : http://tinyurl.com/5telg >> >> >>  >> This SF.net email is sponsored by: >> High Quality Requirements in a Collaborative Environment. >> Download a free trial of Rational Requirements Composer Now! >> http://p.sf.net/sfu/wwwibmcom >> _______________________________________________ >> Matplotlibusers mailing list >> Matplotlibusers@... >> https://lists.sourceforge.net/lists/listinfo/matplotlibusers >> >> >> > > 
From: Anton Vasilescu <vasilescu_anton@ya...>  20090414 15:42:21
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That's what was happening! Thanks again Jeff! ________________________________ From: Jeff Whitaker <jswhit@...> To: antonv <vasilescu_anton@...> Cc: matplotlibusers@... Sent: Tuesday, April 14, 2009 4:39:13 AM Subject: Re: [Matplotlibusers] basemap error or user error? antonv wrote: > Jeff, thanks for the comment on rebuilding the lons and lats! > > I have attached 2 images, one that is from the whole data in the file and > the other the zoomed version. http://www.nabble.com/file/p23031035/basemap_all.png basemap_all.png http://www.nabble.com/file/p23031035/basemap_zoom.png basemap_zoom.png > What seems to be happening is that the coordinates seem to be in different > projections as the values of lats.min(),lons.min(),lats.max(),lons.max() are 25.0,210.0,50.0,250.0 while the list I'm providing is > 32.35,121.0,34.75,116.75. Anton: Try using (32.35, 239,34.75,243.25). The longitudes in your data probably go from 0 to 360, so negative longitudes are outside the region spanned by your data. Jeff > Any ideas on why basemap seems to be reading > both coordinate lists and provides the proper land contours while contourf > seems to be off? > > Thanks, > Anton > > > > > > > Jeff Whitaker wrote: > >> antonv wrote: >> >>> Hi all, >>> >>> I have a weird thing happening with basemap and I am not sure if it's >>> basemap or me, but more than likely it's me :( >>> >>> Here is the grib file that I am using: >>> http://downloads.75ive.com/multi_1.20090321.t18z_multi_1.wc_10m.all.grb2 >>> http://downloads.75ive.com/multi_1.20090321.t18z_multi_1.wc_10m.all.grb2 >>> And here is my code: >>> ############################################# >>> import matplotlib >>> import matplotlib.mpl as mpl >>> import matplotlib.pyplot as plt >>> import matplotlib.mlab as mlab >>> import numpy as np >>> import matplotlib.pylab as pylab >>> from mpl_toolkits.basemap import Basemap >>> from grib2 import Grib2Decode >>> >>> grbs = Grib2Decode('multi_1.20090321.t18z_multi_1.wc_10m.all.grb2') >>> >>> lats, lons = grbs[0].grid() >>> mapCoords = [32.35,121.0,34.75,116.75] >>> #mapCoords = [lats.min(),lons.min(),lats.max(),lons.max()] >>> >>> colorList = >>> [[0.,0.,205./255.],[0,102./255.,255./255.],[0,183./255.,255./255.],[0,224./255.,255./255.], >>> [0,255./255.,255./255.],[0,255./255.,204./255.],[0,255./255.,153./255.],[0,255./255.,0], >>> [153./255.,255./255.,0],[204./255.,255./255.,0],[255./255.,255./255.,0],[255./255.,204./255.,0], >>> [255./255.,153./255.,0],[255./255.,102./255.,0],[255./255.,0,0],[176./255.,48./255.,96./255.], >>> [208./255.,32./255.,144./255.],[255./255.,0,255./255.]] >>> cmap = matplotlib.colors.ListedColormap(colorList, name = 'theColorMap', >>> N = >>> len(colorList)) >>> >>> m = Basemap(projection='merc',lat_ts = 30,\ >>> llcrnrlat=mapCoords[0],llcrnrlon=mapCoords[1],urcrnrlat=mapCoords[2],urcrnrlon=mapCoords[3],\ >>> resolution='h',area_thresh=0.5, suppress_ticks = True) >>> >>> fig = plt.figure(figsize=(14.58,10.58)) >>> fig.set_dpi(100) >>> >>> nlats, nlons = grbs[0].data().shape >>> >>> x = np.linspace(lons.min(),lons.max(),nlons) >>> y = np.linspace(lats.min(),lats.max(),nlats) >>> >>> X, Y = m(*np.meshgrid(x, y)) >>> >>> z = grbs[0].data().filled(1) >>> >>> m.contourf(X,Y,z,cmap=cmap,levels=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19],extend='both') >>> >>> m.fillcontinents(color='green',lake_color='b') >>> m.drawcoastlines(color='k', linewidth=0.75) >>> m.drawcountries(color='k', linewidth=0.25) >>> m.drawstates(color='k', linewidth=0.25) >>> m.drawmapboundary(linewidth=1.0, color='k') >>> >>> plt.show() >>> ############################################# >>> >>> If you look at lines 14 and 15 you can see that i have a variable called >>> mapCoords that feeds the lat/lon coordinates to the basemap object. If i >>> set >>> them up using the commented line (line 15) it will plot the map for all >>> the >>> data in the file and it will display it correctly. If i use line 14 which >>> is >>> the zoomed area that i am interested in it will display the basemap map >>> correctly zoomed in but it will not show the plotted data. Any ideas on >>> what >>> is happening here? >>> >>> Also, if you have any comments on optimizing the code I would really >>> appreciate it! >>> >>> Thanks, >>> Anton >>> >>> >> Anton: Probably your data doesn't cover the zoomed region, but without actually having your data I can't be sure. >> One question: why are you rebuilding the lons and lats from scratch when you already have them? It seems like you can get rid of >> >> nlats, nlons = grbs[0].data().shape >> x = np.linspace(lons.min(),lons.max(),nlons) >> y = np.linspace(lats.min(),lats.max(),nlats) >> X, Y = m(*np.meshgrid(x, y)) >> >> and replace it with >> >> X,Y = m(lons, lats) >> >> >> Jeff >> >>  Jeffrey S. Whitaker Phone : (303)4976313 >> Meteorologist FAX : (303)4976449 >> NOAA/OAR/PSD R/PSD1 Email : Jeffrey.S.Whitaker@... >> 325 Broadway Office : Skaggs Research Cntr 1D113 >> Boulder, CO, USA 803033328 Web : http://tinyurl.com/5telg >> >> >>  >> This SF.net email is sponsored by: >> High Quality Requirements in a Collaborative Environment. >> Download a free trial of Rational Requirements Composer Now! >> http://p.sf.net/sfu/wwwibmcom >> _______________________________________________ >> Matplotlibusers mailing list >> Matplotlibusers@... >> https://lists.sourceforge.net/lists/listinfo/matplotlibusers >> >> >> > > 
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