Contour plot under surface plot
surfc(
creates a threedimensional surface plot with a contour plot underneath. A
surface plot is a threedimensional surface that has solid edge colors and solid
face colors. The function plots the values in matrix X
,Y
,Z
)Z
as
heights above a grid in the xy plane
defined by X
and Y
. The color of the
surface varies according to the heights specified by
Z
.
surfc(
creates a surface and
contour plot and uses the column and row indices of the elements in
Z
)Z
as the x and y
coordinates.
surfc(
plots into
the axes specified by ax
,___)ax
instead of the current axes. Specify
the axes as the first input argument.
surfc(___,
specifies surface properties using one or more namevalue pair arguments. For
example, Name,Value
)'FaceAlpha',0.5
creates a semitransparent
surface.
sc = surfc(___)
returns a graphics array that
includes the chart surface object and the contour object. Use
sc
to modify the surface and contour plots after they are
created. For a list of properties, see Surface Properties and Contour Properties.
Create three matrices of the same size. Then plot them as a surface and display a contour plot under the surface plot. The surface uses Z
for both height and color.
[X,Y] = meshgrid(1:0.5:10,1:20); Z = sin(X) + cos(Y); surfc(X,Y,Z)
Specify the colors for a surface and a contour plot by including a fourth matrix input, C
. The surface plot uses Z
for height and C
for color. Specify the colors using a colormap, which uses single numbers to stand for colors on a spectrum. When you use a colormap, C
is the same size as Z
. Add a color bar to the graph to show how the data values in C
correspond to the colors in the colormap.
[X,Y] = meshgrid(3:.125:3); Z = peaks(X,Y); C = X.*Y; surfc(X,Y,Z,C) colorbar
Create a blue surface plot with a contour plot underneath it by specifying the FaceColor
namevalue pair with 'b'
as the value. To allow further modifications, assign the graphics array containing the surface and contour objects to the variable sc
.
[X,Y] = meshgrid(5:.5:5); Z = Y.*sin(X)  X.*cos(Y); sc = surfc(X,Y,Z,'FaceColor','b');
Index into sc
to access and modify properties of the surface and contour plots after they are created. The surface plot is accessible as sc(1)
and the contour plot as sc(2)
. For example, change the edge colors of the two plots by setting the EdgeColor
properties.
sc(1).EdgeColor = 'r'; sc(2).EdgeColor = 'b';
X
— xcoordinatesxcoordinates, specified as a matrix the same size as
Z
, or as a vector with length n
,
where [m,n] = size(Z)
. If you do not specify values for
X
and Y
,
surfc
uses the vectors (1:n)
and
(1:m)
.
When X
is a matrix, the values must be strictly
increasing or decreasing along one dimension and remain constant along the
other dimension. The dimension that varies must be the opposite of the
dimension that varies in Y
. You can use the meshgrid
function to create
X
and Y
matrices.
When X
is a vector, the values must be strictly
increasing or decreasing.
The XData
properties of the surface and contour
objects store the xcoordinates.
Example: X = 1:10
Example: X = [1 2 3; 1 2 3; 1 2 3]
Example: [X,Y] = meshgrid(5:0.5:5)
Data Types: single
 double
 int8
 int16
 int32
 int64
 uint8
 uint16
 uint32
 uint64
 categorical
Y
— ycoordinatesycoordinates, specified as a matrix the same size as
Z
or as a vector with length m
,
where [m,n] = size(Z)
. If you do not specify values for
X
and Y
,
surfc
uses the vectors (1:n)
and
(1:m)
.
When Y
is a matrix, the values must be strictly
increasing or decreasing along one dimension and remain constant along the
other dimension. The dimension that varies must be the opposite of the
dimension that varies in X
. You can use the meshgrid
function to create
X
and Y
matrices.
When Y
is a vector, the values must be strictly
increasing or decreasing.
The YData
properties of the surface and contour
objects store the ycoordinates.
Example: Y = 1:10
Example: Y = [1 1 1; 2 2 2; 3 3 3]
Example: [X,Y] = meshgrid(5:0.5:5)
Data Types: single
 double
 int8
 int16
 int32
 int64
 uint8
 uint16
 uint32
 uint64
 categorical
Z
— zcoordinateszcoordinates, specified as a matrix.
Z
must have at least two rows and two columns.
Z
specifies the height of the surface plot at each
xy coordinate. If you do not
specify the colors, then Z
also specifies the surface
colors.
The ZData
properties of the surface and contour
objects store the zcoordinates.
Example: Z = [1 2 3; 4 5 6]
Example: Z = sin(x) + cos(y)
Data Types: single
 double
 int8
 int16
 int32
 int64
 uint8
 uint16
 uint32
 uint64
 categorical
C
— Color arraym
byn
by3
array of RGB tripletsColor array, specified as an m
byn
matrix of colormap indices or as an
m
byn
by3
array of RGB triplets, where Z
is
m
byn
.
To use colormap colors, specify C
as a
matrix. For each grid point on the surface, C
indicates a color in the colormap. The
CDataMapping
property of the surface
object controls how the values in C
correspond to colors in the colormap.
To use truecolor colors, specify C
as an
array of RGB triplets.
For more information, see Differences Between Colormaps and Truecolor.
The CData
property of the surface object stores the
color array. For additional control over the surface coloring, use the
FaceColor
and EdgeColor
properties.
ax
— Axes to plot inAxes to plot in, specified as an axes
object. If you do
not specify the axes, then surfc
plots into the current
axes.
Specify optional
commaseparated pairs of Name,Value
arguments. Name
is
the argument name and Value
is the corresponding value.
Name
must appear inside quotes. You can specify several name and value
pair arguments in any order as
Name1,Value1,...,NameN,ValueN
.
surfc(X,Y,Z,'FaceAlpha',0.5,'EdgeColor','none')
creates
a semitransparent surface with no edges drawn.The properties listed here are only a subset. For a full list, see Surface Properties.
'EdgeColor'
— Edge line color[0 0 0]
(default)  'none'
 'flat'
 'interp'
 RGB triplet  hexadecimal color code  'r'
 'g'
 'b'
 ...Edge line color, specified as one of the values listed here.
The default color of [0 0 0]
corresponds to black
edges.
Value  Description 

'none'  Do not draw the edges. 
'flat'  Use a different color for each edge based on the values
in the 
'interp' 
Use interpolated coloring for each edge based on the values in the

RGB triplet, hexadecimal color code, or color name 
Use the specified color for all the edges. This option does not use the color
values in the

RGB triplets and hexadecimal color codes are useful for specifying custom colors.
An RGB triplet is a threeelement row vector whose elements specify the
intensities of the red, green, and blue components of the color. The intensities
must be in the range [0,1]
; for example, [0.4 0.6
0.7]
.
A hexadecimal color code is a character vector or a string scalar that starts
with a hash symbol (#
) followed by three or six hexadecimal
digits, which can range from 0
to F
. The
values are not case sensitive. Thus, the color codes
'#FF8800'
, '#ff8800'
,
'#F80'
, and '#f80'
are
equivalent.
Alternatively, you can specify some common colors by name. This table lists the named color options, the equivalent RGB triplets, and hexadecimal color codes.
Color Name  Short Name  RGB Triplet  Hexadecimal Color Code  Appearance 

'red'  'r'  [1 0 0]  '#FF0000'  
'green'  'g'  [0 1 0]  '#00FF00'  
'blue'  'b'  [0 0 1]  '#0000FF'  
'cyan'  'c'  [0 1 1]  '#00FFFF'  
'magenta'  'm'  [1 0 1]  '#FF00FF'  
'yellow'  'y'  [1 1 0]  '#FFFF00'  
'black'  'k'  [0 0 0]  '#000000'  
'white'  'w'  [1 1 1]  '#FFFFFF' 
Here are the RGB triplets and hexadecimal color codes for the default colors MATLAB^{®} uses in many types of plots.
RGB Triplet  Hexadecimal Color Code  Appearance 

[0 0.4470 0.7410]  '#0072BD'  
[0.8500 0.3250 0.0980]  '#D95319'  
[0.9290 0.6940 0.1250]  '#EDB120'  
[0.4940 0.1840 0.5560]  '#7E2F8E'  
[0.4660 0.6740 0.1880]  '#77AC30'  
[0.3010 0.7450 0.9330]  '#4DBEEE'  
[0.6350 0.0780 0.1840]  '#A2142F' 
'LineStyle'
— Line style''
(default)  ''
 ':'
 '.'
 'none'
Line style, specified as one of the options listed in this table.
Line Style  Description  Resulting Line 

''  Solid line 

''  Dashed line 

':'  Dotted line 

'.'  Dashdotted line 

'none'  No line  No line 
'FaceColor'
— Face color'flat'
(default)  'interp'
 'none'
 'texturemap'
 RGB triplet  hexadecimal color code  'r'
 'g'
 'b'
 ...Face color, specified as one of the values in this table.
Value  Description 

'flat'  Use a different color for each face based on the values
in the 
'interp' 
Use interpolated coloring for each face based on the values in the

RGB triplet, hexadecimal color code, or color name 
Use the specified color for all the faces. This option does not use the color
values in the

'texturemap'  Transform the color data in CData so that
it conforms to the surface. 
'none'  Do not draw the faces. 
RGB triplets and hexadecimal color codes are useful for specifying custom colors.
An RGB triplet is a threeelement row vector whose elements specify the
intensities of the red, green, and blue components of the color. The intensities
must be in the range [0,1]
; for example, [0.4 0.6
0.7]
.
A hexadecimal color code is a character vector or a string scalar that starts
with a hash symbol (#
) followed by three or six hexadecimal
digits, which can range from 0
to F
. The
values are not case sensitive. Thus, the color codes
'#FF8800'
, '#ff8800'
,
'#F80'
, and '#f80'
are
equivalent.
Alternatively, you can specify some common colors by name. This table lists the named color options, the equivalent RGB triplets, and hexadecimal color codes.
Color Name  Short Name  RGB Triplet  Hexadecimal Color Code  Appearance 

'red'  'r'  [1 0 0]  '#FF0000'  
'green'  'g'  [0 1 0]  '#00FF00'  
'blue'  'b'  [0 0 1]  '#0000FF'  
'cyan'  'c'  [0 1 1]  '#00FFFF'  
'magenta'  'm'  [1 0 1]  '#FF00FF'  
'yellow'  'y'  [1 1 0]  '#FFFF00'  
'black'  'k'  [0 0 0]  '#000000'  
'white'  'w'  [1 1 1]  '#FFFFFF' 
Here are the RGB triplets and hexadecimal color codes for the default colors MATLAB uses in many types of plots.
RGB Triplet  Hexadecimal Color Code  Appearance 

[0 0.4470 0.7410]  '#0072BD'  
[0.8500 0.3250 0.0980]  '#D95319'  
[0.9290 0.6940 0.1250]  '#EDB120'  
[0.4940 0.1840 0.5560]  '#7E2F8E'  
[0.4660 0.6740 0.1880]  '#77AC30'  
[0.3010 0.7450 0.9330]  '#4DBEEE'  
[0.6350 0.0780 0.1840]  '#A2142F' 
'FaceAlpha'
— Face transparency[0,1]
 'flat'
 'interp'
 'texturemap'
Face transparency, specified as one of these values:
Scalar in range [0,1]
—
Use uniform transparency across all the faces. A value of 1
is
fully opaque and 0
is completely transparent. Values
between 0
and 1
are semitransparent.
This option does not use the transparency values in the AlphaData
property.
'flat'
— Use a different
transparency for each face based on the values in the AlphaData
property.
The transparency value at the first vertex determines the transparency
for the entire face. First you must specify the AlphaData
property
as a matrix the same size as the ZData
property.
The FaceColor
property also must be set to 'flat'
.
'interp'
— Use interpolated
transparency for each face based on the values in AlphaData
property.
The transparency varies across each face by interpolating the values
at the vertices. First you must specify the AlphaData
property
as a matrix the same size as the ZData
property.
The FaceColor
property also must be set to 'interp'
.
'texturemap'
— Transform
the data in AlphaData
so that it conforms to
the surface.
'FaceLighting'
— Effect of light objects on faces'flat'
(default)  'gouraud'
 'none'
Effect of light objects on faces, specified as one of these values:
'flat'
— Apply light uniformly
across each face. Use this value to view faceted objects.
'gouraud'
— Vary the light
across the faces. Calculate the light at the vertices and then linearly
interpolate the light across the faces. Use this value to view curved
surfaces.
'none'
— Do not apply light
from light objects to the faces.
To add a light object to the axes, use the light
function.
The 'phong'
value has been removed. Use 'gouraud'
instead.
Usage notes and limitations:
This function accepts GPU arrays, but does not run on a GPU.
For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
Usage notes and limitations:
This function operates on distributed arrays, but executes in the client MATLAB.
For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).
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