ImagePlot - MathStudio Manual

ImagePlot(data)

data

A matrix or list of three matrices.

Description

ImagePlot plots a matrix or a list of matrices as an image.

If data is a matrix each element represents a gray color value. The color value must be a value between 0 (black) and 1 (white).

If data is a list of three matrices the first matrix represents the red values, the second matrix the green values and the thrid matrix the blue values. The value for each component must be a value between 0 and 1.

Examples

ImagePlot([[0.8, 0.4, 0], [0.4, 0.8, 0.4], [0, 0.4, 0.8]])

ImagePlot(Random(0, 1, 20, 20))

ImagePlot(Random(0, 1, 10, 10, 3))

ImagePlot(Identity(10))

data = @[29, 29] for [row, column] in data data(row, column) = gcd(row, column) > 1 end ImagePlot(data)

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Using MathStudio

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2. Trigonometric Functions

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8. Fourier Analysis

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Graphing

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Scripting Language

Variables

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Scripts

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6. For-In Loops

10. Working with JSON

Functions

A

AlternatingSeries(n, [terms])

Angle(A, B)

Animate(variable, start, end, [step], [value], [fps])

Apart(f(x), x)

Append(expression1, expression2)

B

BarPlot(list1, frequency1, ...)

Bernoulli(n, [z])

BesselI(v, z)

BesselJ(v, z)

BesselK(v, z)

BesselY(v, z)

Beta(m, n)

Binomial(n, r)

BinomialCDF(n, p, x)

BinomialPDF(n, p, x)

BodePlot(function, variable, minimum, maximum, mode)

BoxPlot(x, [frequency1], [x2], [frequency2], ...)

Button(name, [list], [value])

G

GCD(n1, n2)

GegenbauerC(n, a, z)

GeoCDF(p, x)

GeoPDF(p, x)

Gradient(function, [varlist], [mode])

Gudermannian(z)

H

HalfRectSineWave(x, [T])

HankelH1(v, z)

HankelH2(v, z)

Harmonic(z)

Heaviside(x)

HermiteH(n, z)

Hessian(function, [varlist], [mode])

HRStoHMS(hours, [digits])

http(url, [filter])

Hypergeom_2F1(a, b, c, z, [mode])

J

Jacobian(function, [varlist], [point])

json(data, [filter])

JuliaPlot(expression, ...)

K

KelvinBei(v, z)

KelvinBer(v, z)

KelvinKei(v, z)

KelvinKer(v, z)

M

Matrix(rows, [columns])

MatrixLU(matrix, [mode])

MatrixMap(matrix, name, [value])

MatrixQR(A)

MatrixSVD(A)

Max(number, ...)

Mean(list)

MedianFit([x], y)

MedianFitModel([x], y)

MedianFitPlot([x], y)

Message(string)

Min(list)

Mod(m, n)

Multinomial(nList)

MultiPlot(plot1, plot2, ...)

MultiPlot3D(expression, ...)

N

nCr(n, r)

NIntegrate(f(x), x, a, b)

NormalCDF(lower, upper, [mu], [sigma])

NormalPDF(x, mu, sigma)

nPr(n, r)

nRoot(z, n, [mode])

Q

QuadraticFit([x], y)

QuadraticFitModel([x], y)

QuadraticFitPlot([x], y)

QuarticFit([x], y)

QuarticFitModel([x], y)

QuarticFitPlot([x], y)

Quotient(f(x), g(x))

R

Random(min, max, [size1], [size2])

RealPart(expression)

Remainder(f(x), g(x))

Replace(expression, old, new)

Reshape(matrix)

Return(expression)

Reverse(list)

Right(expression)

RK4(function, t, y, a, b, y0, N=10)

RK45(function, t, y, a, b, y0, Tol=10E-5, hmax=0.25, hmin=10E-6, N=20)

Round(number, digits)

RowReduce(A)

T

Together(expression)

Trace(variable)

Transpose(A)

TriangleWave(x, [T])

TrigConvert(expression)

TrigExpand(expression)

TrigReduce(expression)

V

Variables(expression)

Variance(list)

VectorPlot(list, ...)

VectorPlot3D(list, ...)

W

While(condition)

Z

Zeta(z, [a])