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-node+s1069221n40973...@n5.nabble.com 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)
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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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