Accelerating the pace of engineering and science

Documentation

Contents

라이선스가 부여된 사용자만 번역 문서를 볼 수 있습니다. 번역 문서를 보려면 로그인하십시오.

contour

Contour plot of matrix

Syntax

contour(Z)
contour(Z,n)
contour(Z,v)
contour(X,Y,Z)
contour(X,Y,Z,n)
contour(X,Y,Z,v)
contour(...,LineSpec)
contour(...,Name,Value)
contour(ax,...)
[C,h] = contour(...)

Description

A contour plot displays isolines of matrix Z. Label the contour lines using clabel.

contour(Z) draws a contour plot of matrix Z, where Z is interpreted as heights with respect to the x-y plane. Z must be at least a 2-by-2 matrix that contains at least two different values. The x values correspond to the column indices of Z and the y values correspond to the row indices of Z. The contour levels are chosen automatically.

contour(Z,n) draws a contour plot of matrix Z with n contour levels where n is a scalar. The contour levels are chosen automatically.

contour(Z,v) draws a contour plot of matrix Z with contour lines at the data values specified in the monotonically increasing vector v. To display a single contour line at a particular value, define v as a two-element vector with both elements equal to the desired contour level. For example, to draw contour lines at level k, use contour(Z,[k k]). Specifying the vector v sets the LevelListMode property to manual.

contour(X,Y,Z), contour(X,Y,Z,n), and contour(X,Y,Z,v) draw contour plots of Z using X and Y to determine the x and y values.

• If X and Y are vectors, then length(X) must equal size(Z,2) and length(Y) must equal size(Z,1). The vectors must be strictly increasing or strictly decreasing and cannot contain any repeated values.

• If X and Y are matrices, then their sizes must equal the size of Z. Typically, you should set X and Y so that the columns are strictly increasing or strictly decreasing and the rows are uniform (or the rows are strictly increasing or strictly decreasing and the columns are uniform).

If X or Y is irregularly spaced, then contour calculates contours using a regularly spaced contour grid, and then transforms the data to X or Y.

contour(...,LineSpec) draws the contours using the line type and color specified by LineSpec. contour ignores marker symbols.

contour(...,Name,Value) specifies contour properties using one or more property name, property value pairs. Name is the property name and must appear inside single quotes (''). Value is the corresponding value. For example, 'LineWidth',2 sets the contour line width to 2. For a list of contour property names and values, see Contour Properties.

contour(ax,...) plots into the axes specified by ax instead of the current axes (gca).

[C,h] = contour(...) returns the contour matrix C containing the data that defines the contour lines, and the contour object h. The ContourMatrix property for the contour object also contains the contour matrix. The clabel function uses the contour matrix to label the contour lines.

Use contour object properties to control the contour plot appearance. For a list, see Contour Properties.

Examples

expand all

Create Contour Plot

Use the meshgrid function to generate matrices X and Y. Create a third matrix, Z, and plot its contours.

```x = linspace(-2*pi,2*pi);
y = linspace(0,4*pi);
[X,Y] = meshgrid(x,y);
Z = sin(X)+cos(Y);

figure
contour(X,Y,Z)
```

Specify Number of Contour Lines

Store the data from the peaks function in matrices X, Y, and Z. Plot 20 contours of the data in Z.

```[X,Y,Z] = peaks;
figure
contour(X,Y,Z,20)
```

Display Contour Labels

Set up matrices X, Y, and Z. Create a contour plot and display the contour labels by setting the ShowText property to on.

```x = -2:0.2:2;
y = -2:0.2:3;
[X,Y] = meshgrid(x,y);
Z = X.*exp(-X.^2-Y.^2);

figure
contour(X,Y,Z,'ShowText','on')
```

Display Single Contour Line

Create a contour plot of the peaks function and display only one contour level at Z = 1.

```x = -3:0.125:3;
y = -3:0.125:3;
[X,Y] = meshgrid(x,y);
Z = peaks(X,Y);
v = [1,1];

figure
contour(X,Y,Z,v)
```

expand all

Tips

• The contour function cannot determine if there are discontinuities in the input data. Add NaN values to the data to prevent drawing the contour lines in those regions.