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Bivariate histogram plot

`hist3(X)`

`hist3(X,'Nbins',nbins)`

`hist3(X,'Ctrs',ctrs)`

`hist3(X,'Edges',edges)`

`hist3(___,Name,Value)`

`hist3(ax,___)`

`N = hist3(___)`

`[N,c] = hist3(___)`

`hist3(`

creates a bivariate
histogram plot of `X`

)`X(:,1)`

and `X(:,2)`

using
10-by-10 equally spaced bins. The `hist3`

function displays
the bins as 3-D rectangular bars, and the height of each bar indicates the
number of elements in the bin.

`hist3(___,`

specifies graphical properties using one or more name-value pair arguments in
addition to the input arguments in the previous syntaxes. For example,
`Name,Value`

)`'FaceAlpha',0.5`

creates a semitransparent histogram. For
a list of properties, see Surface Properties.

`hist3(`

plots into
the axes specified by `ax`

,___)`ax`

instead of the current axes
(`gca`

). The option `ax`

can precede any
of the input argument combinations in the previous syntaxes.

The `hist3`

function creates a bivariate histogram, which is a type
of surface plot. You can specify surface properties using one or more name-value pair
arguments. Also, you can change the appearance of the histogram by changing the surface
property values after you create a histogram. Get the handle of the surface object by
using `s = findobj(gca,'Type','Surface')`

, and then use
`s`

to modify the surface properties. For an example, see Adjust Graphical Properties. For a list of properties, see Surface Properties.

The `histogram2`

function enables you to create a
bivariate histogram using a `Histogram2`

object. You can use the
name-value pair arguments of `histogram2`

to use normalization (`'Normalization'`

), adjust
the width of the bins in each dimension (`'BinWidth'`

), and display the
histogram as a rectangular array of tiles instead of 3-D bars (`'DisplayStyle'`

).

`accumarray`

| `bar3`

| `binScatterPlot`

| `histcounts2`

| `histogram2`