contour()

Generates contour levels on surface data

Syntax
y = contour(data, contour_levels, interpolation_type)

Arguments
Name Description Range Type Default Required
data data to be contoured, which must be at least two-dimensional real, integer or implicit (-∞, ∞) integer, real yes
contour_levels one-dimensional quantity specifying the levels of the contours † (-∞, ∞) integer, real six levels equally spaced between the maximum and the minimum of the data no
interpolation_type specifies the type of interpolation to perform [0, 1, 2]† † integer 0 no
† Normally specified by the sweep generator "[ ]", but can also be specified as a vector † † Interpolation types are: 0 - No Interpolation,1 - Cubic Spline,2 - B-Spline

Examples

a = contour(dB(S11), [1::3::10])
or
a = contour(dB(S11), {1, 4, 7, 10})
produces a set of four equally spaced contours on a surface generated as a function of, say, frequency and strip width.
a = contour(dB(S11), {1, 4, 7, 10}, 1)
produces the same set of contours as the above example, but with cubic spline interpolation.

Defined in

Built in

See Also

contour_polar()

Notes/Equations

This function introduces three extra inner independents into the data. The first two are "level", the contour level, and "number", the contour number. For each contour level there may be n contours. The contour is an integer running from 1 to n. The contour is represented as an (x, y) pair with x as the inner independent.

 

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