Hello, I would like to ask for some hints and help. I am currently trying to plot a "pseudo contour" over a Basemap. This contour is confined by borders obtained from a shapefile. I can generate the contour, I can retrieve the shapefile and put them on a basemap. What I have not been able to do is to limit the contour plot such that it only fills the area defined by a shapefile (in my case it is bordered by Province Lampung). You can use different shapefile for example, as the point of my question is how to limit contour fill by a shapefile.
Shapefile can be downloaded from http://www.gadm.org/data/shp/IDN_adm.zip The generated figure can be found here: https://lh3.googleusercontent.com/-hMlwe6MAjdc/Tf6HlxYxn1I/AAAAAAAAAEY/exdzSv30ZL4/s640/to_matplotlib_userlists.png Thanks for the help! -- Lukmanul Hakim Here's the code: ---------------- from pylab import cm import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.basemap import Basemap #Define area about Province Lampung ulat, llat, ulon, llon = -2.5, -6.5, 107, 103 m = Basemap(projection='merc', lon_0=0.0, llcrnrlon=llon, llcrnrlat=llat, urcrnrlon=ulon, urcrnrlat=ulat, resolution='i') #Read shapefile of Province Lampung s = m.readshapefile('E:/Works/UNILA/Research/IDN_adm/LampungMap/LampungMap', 'lampung') #Define area for contour plot llon1,ulon1 = 103,106 llat1,ulat1 = -6,-3.5 #Generate random data nx,ny=5,5 data2 = np.random.sample((ny,nx)) x = np.linspace(llon1, ulon1, nx) y = np.linspace(llat1, ulat1, ny) X,Y = np.meshgrid(x,y) px,py = m(X,Y) m.contourf(px, py, data2, cmap=cm.jet) m.drawcoastlines()#(linewidth=0.5) m.drawparallels(np.arange(-6.5,-2.5,1.),labels=[1,0,0,0],color='black',dashes=[1,0],labelstyle='+/-',linewidth=0.2) # draw parallels m.drawmeridians(np.arange(102.,108.,1.),labels=[0,0,0,1],color='black',dashes=[1,0],labelstyle='+/-',linewidth=0.2) # draw meridians plt.show() ------------------------------------------------------------------------------ EditLive Enterprise is the world's most technically advanced content authoring tool. Experience the power of Track Changes, Inline Image Editing and ensure content is compliant with Accessibility Checking. http://p.sf.net/sfu/ephox-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
