Peter I. Hansen wrote:

Hello

I have gridded data of the shape:

x_1 y_1 z_1

x_1 y_2 z_2

. . .

x_1 y_N z_N

x_2 y_1 z_(N+1)

x_2 y_2 z_(N+2)

. . .

x_2 y_N z_(2N)

x_M y_1 z_(MN)

x_M y_2 z_(MN)

. . .

x_M y_N z_(MN)

I've tried to follow the contour_demo script by making

You don't need to make your own X, Y, so delete the following 3 lines.

x = arange(M numbers)

y = arange(N numbers)

X,Y = meshgrid(x,y)

M = load('zdata.dat')

Now you have X, Y, and Z, each as a column in your file, so you need to split them apart and reshape them. Let's assume M, N are the number of X and Y values in your grid; to avoid name confusion, change the load to

XYZ = load('zdata.dat')

X = XYZ[:,0]

X.shape = (M,N)

Y = XYZ[:,1]

Y.shape = (M,N)

Z = XYZ[:,2]

Z.shape = (M,N)

CS = contour(X.transpose(), Y.transpose(), Z.transpose())

The reason for all the transposing is that pcolor and contour display images with column number increasing with X, and row number increasing with Y. Since you have M X-values and N Y-values, everything has to end up N by M, not the reverse.

Eric

## ···

Z = reshape(M, (M,N))

figure()

CS = contour(X,Y,Z)

But I get errors that x and y are not 1D or 2D... Can someone help me

to do this right?

thanks, Peter

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