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Hi all,
Indeed it's a bit strange, I can reproduce the problem. But when using
'cyl' projection I don't have this issue.
attahced two figures showed the difference.
the tested data is also attached.
complete code is below:
from mpl_toolkits.basemap import Basemap, cm, maskoceans
import matplotlib.pyplot as plt
# set up the Mercator projection
m = Basemap(projection='merc',llcrnrlat=9,urcrnrlat=54.5,\
 llcrnrlon=74,urcrnrlon=142,lat_ts=20,resolution='l')
m.drawcountries()
m.drawcoastlines()
m.drawmapboundary(fill_color='aqua')
m.drawrivers()
pdata = np.genfromtxt('pdata.txt')
pdata = np.ma.masked_greater(pdata,1E20)
lonm,latm=m.makegrid(pdata.shape[1],pdata.shape[0])
latm=np.flipud(latm)
lonpro,latpro=m(lonm,latm)
cs = m.contourf(lonpro,latpro,pdata)
m.colorbar(cs)
cheers,
Chao
On Mon, Apr 29, 2013 at 12:53 PM, Ann [via matplotlib] <
ml-...@n5...> wrote:
> Dear All,
>
>
> I am encountering the following problem:
> I have some data which I want to plot on a map. Unfortunately, I do not
> manage to plot the data according to the shape of the projection! What it
> appears to do is to simply plot the data on top of the projection without
> taking the actual position (latitude and longitude) into account. However,
> this is crucial for my analysis.
> Could anybody spot the mistake in my code?
> Any suggestion would be of great help!!
> THANKS
>
>
>
> from mpl_toolkits.basemap import Basemap, cm, maskoceans
> import matplotlib.pyplot as plt
>
>
> # set up the Mercator projection
> m = Basemap(projection='merc',llcrnrlat=9,urcrnrlat=54.5,\
> llcrnrlon=74,urcrnrlon=142,lat_ts=20,resolution='l')
>
> m.drawcountries()
> m.drawcoastlines()
> m.drawmapboundary(fill_color='aqua')
> m.drawrivers()
>
>
> parallels = N.arange(0.,81,10.)
> labels = [left,right,top,bottom]
> m.drawparallels(parallels,labels=[1,0,0,0])
> meridians = N.arange(10.,351.,20.)
> m.drawmeridians(meridians,labels=[0,0,0,1])
>
>
> ny=resmat.shape[0] # resmat is the matrix containing the data which I want
> o plot.
> nx=resmat.shape[1]
>
> #get lat/lons of ny by nx evenly space grid
> lons, lats =m.makegrid(nx, ny)
>
>
> # compute map projection coordinates
> x, y= m(lons, lats)
>
> maskdata = maskoceans(lons, lats, resmat, inlands= True, resolution = 'l')
>
>
> cs = m.contourf(x,y,maskdata,150,cmap=cm.GMT_no_green_r)
>
> plt.show()
>
>
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-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************
pdata.txt (413K) <http://matplotlib.1069221.n5.nabble.com/attachment/40975/0/pdata.txt>
cyl.jpg (540K) <http://matplotlib.1069221.n5.nabble.com/attachment/40975/1/cyl.jpg>
merc.jpg (435K) <http://matplotlib.1069221.n5.nabble.com/attachment/40975/2/merc.jpg>
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