3D representation of a histogram (obsolete)
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>)
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
.
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)
.
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.
see plot3d.
![]() | Up to Scilab 6.0, hist3d() features are actually some
bar3d() ones. In Scilab 6.1.0, bar3d() is
introduced as a clone of hist3d() . From now on, please use
bar3d() in replacement of the former hist3d() .
hist3d() will be redefined in Scilab 6.2.0 to actually support 3D
histogram features. |
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.
hist3d(10*rand(10,10)); | ![]() | ![]() |
Z = zeros(100,5); A = abs(rand(40,5)); Z(1:40,:) = A; Index = find(Z==0); Z(Index) = %nan; scf(); hist3d(Z); isoview off | ![]() | ![]() |
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); isoview off | ![]() | ![]() |
Version | Description |
6.1.0 | The current implementation of hist3d() is declared obsolete. Use bar3d() instead. |