# hist3d

3D representation of a histogram

## Calling Sequence

    hist3d(mtx,[theta,alpha,leg,flag,ebox])
                hist3d(mtx,<opt_args>)
                hist3d(list(mtx,x,y),[theta,alpha,leg,flag,ebox])
                hist3d(list(mtx,x,y),<opt_args>)

## Arguments

mtx

  matrix of size (m,n) defining the histogram `mtx(i,j)=F(x(i),y(j))`, where `x` and `y` are taken as `0:m` and `0:n`.

list(mtx,x,y)

  where mtx is a matrix of size (m,n)defining the histogram `mtx(i,j)=F(x(i),y(j))`, with `x` and `y` vectors of size (1,m+1) and (1,n+1).

<opt_args>

  This represents a sequence of statements `key1=value1, key2=value2` ,... where `key1`, `key2,...` can be one of the following: theta, alpha,leg,flag,ebox. See plot3d.

theta,alpha,leg,flag,ebox

  see plot3d.

## Description

`hist3d` represents a 2d histogram as a 3D plot. The values are associated to the intervals `[x(i) x(i+1)[ X [y(i) y(i+1)[` .

Enter the command `hist3d()` to see a demo.

## Examples

            hist3d();

hist3d();

    hist3d(10*rand(10,10));

hist3d(10*rand(10,10));

    Z = zeros(100,5);
    A = abs(rand(40,5));
    Z(1:40,:) = A;
    scf();
    hist3d(Z);

Z = zeros(100,5); A = abs(rand(40,5)); Z(1:40,:) = A; scf(); hist3d(Z);

    Z = zeros(100,5);
    A = abs(rand(40,5));
    Z(1:40,:) = A;
    Index = find(Z==0);
    Z(Index) = %nan;
    scf();
    hist3d(Z);

Z = zeros(100,5); A = abs(rand(40,5)); Z(1:40,:) = A; Index = find(Z==0); Z(Index) = %nan; scf(); hist3d(Z);

    Z = zeros(100,5);
    A = abs(rand(40,5));
    Z(1:40,:) = A;
    A = abs(rand(10,5));
    Z(91:100,:) = A;
    scf();
    hist3d(Z);

Z = zeros(100,5); A = abs(rand(40,5)); Z(1:40,:) = A; A = abs(rand(10,5)); Z(91:100,:) = A; scf(); hist3d(Z);

## See Also

- histplot
- plot3d