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| Started by | Mark Lawrence <breamoreboy@yahoo.co.uk> |
|---|---|
| First post | 2014-08-10 11:13 +0100 |
| Last post | 2014-08-10 11:13 +0100 |
| Articles | 1 — 1 participant |
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Re: Fwd: How to draw a map using python Mark Lawrence <breamoreboy@yahoo.co.uk> - 2014-08-10 11:13 +0100
| From | Mark Lawrence <breamoreboy@yahoo.co.uk> |
|---|---|
| Date | 2014-08-10 11:13 +0100 |
| Subject | Re: Fwd: How to draw a map using python |
| Message-ID | <mailman.12812.1407665628.18130.python-list@python.org> |
On 10/08/2014 02:44, Yuanchao Xu wrote: > To kind whom it may concern: > > I want to draw a map using python, not really a map with full > information, just a get together of a series of small shapes to reflect > land use. > > The data is like below > > > |1 2 2 3 3 2 > 2 3 3 1 1 2 > 1 1 1 1 3 3 > 3 3 3 3 4 1| > > Each number represents one land use type. and their positions in the > matrix are their coordinates. > > I used VBA to do that before, the whole map consists many small square > shapes representing land use, but since the data was so large, it took a > long time to generate the map, also delete the map. > > My question are : > > 1. I wonder in python, is there any more fast way to generate this kind > of map, as a whole, not a series of shapes, i think that would be faster?? > > 2. I have tried using contourf, as below, but it says "out of bounds for > axis 1", but actually, I printed X,Y and cordi, they have the same > shape, why still out of bounds? > > 1. > > > |y= np.arange(0, 4 , 1) > x= np.arange(0, 6 , 1) > X,Y= np.meshgrid(x,y) > > # cordi is the matrix containing all the data > # pyplot is imported before > > plt.contourf(X,Y, Cordi[X,Y], 8, alpha=.75, cmap='jet')| > > 3. Some kind person has suggested me to use imshow to plot. I checked > the explanation of imshow, it deals more about images not plots, and it > needs a 3D array to plot, in which for each pixel it needs 3 values to > show the color. I also tried, not so acceptable. The interfaces of each > color are so vague, and besides, when the data is large, it just failed > to present. So, if I use imshow, could I have some way to avoid those > two problems? > > > Thank you very much for answering! > See http://matplotlib.org/ specifically http://matplotlib.org/basemap/users/examples.html -- My fellow Pythonistas, ask not what our language can do for you, ask what you can do for our language. Mark Lawrence
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