Contour plot1/1/2023 ![]() On the other hand, creating a contour plot directly from XYZ worksheet data uses a triangulation method to generate the contour lines, and there is no need to generate a matrix. Creating a contour plot from a matrix is faster than creating a contour plot directly from a worksheet, so the matrix method is suitable for large data. Note that a contour plot in Origin can be created from matrix data, worksheet data, or virtual matrix data. The (Plot Details) Color Map/Contours and Label tabs provide controls for editing your contour graphs. Origin provides seven contour graph types: 5 Algorithm for Creating a Contour from a Matrix.4 Algorithm for Creating a Contour from a Worksheet.3.2 Dialog Controls of the Generate Grid Dialog.3.1 Generate Grid from XYZ Contour Plot.3 The Highlight Features for Contour Graphs. Contour plot how to#2 How to Create and Customize Contour Graphs.Layout = Layout( title="Styling Color Bar Ticks for Contour Plots")Ĭontour14() 0 1 2 3 4 0 0.5 1 1.5 2 2.5 3 3. Layout = Layout( title="Colorbar Size for Contour Plots")Ĭontour13() 0 1 2 3 4 0 0.5 1 1.5 2 2.5 3 3.5 4 4 8 12 16 Colorbar Size for Contour Plots function contour14() Layout = Layout( title="Colorbar with Title")Ĭontour12() 0 1 2 3 4 0 0.5 1 1.5 2 2.5 3 3.5 4 4 8 12 16 Color Bar Title Colorbar with Title function contour13()Ĭolorbar=attr( thickness=75, thicknessmode="pixels", Layout = Layout( title="Custom Contour Plot Colorscale")Ĭontour11() 0 0.5 1 1.5 2 2.5 3 3.5 4 0 0.5 1 1.5 2 2.5 3 3.5 4 4 8 12 16 Custom Contour Plot Colorscale function contour12()Ĭolorbar=attr( title="Color Bar Title",titleside="right", Relayout!(p, title="Smoothing Contour Lines")Ĭontour8() 0 2 4 6 0 1 2 3 4 5 6 7 0 2 4 6 0 1 2 3 4 5 6 7 4 8 12 16 20 24 4 8 12 16 20 24 Smoothing Contour Lines function contour9()ĭata = contour( z=z, contours_coloring="heatmap") P2 = plot(contour( z=z, line_smoothing=0.85)) P1 = plot(contour( z=z, line_smoothing=0)) Relayout!(p, title="Connect the Gaps Between Null Values in the Z Matrix")Ĭontour7() 0 2 4 6 0 2 4 6 0 2 4 6 0 2 4 6 0 2 4 6 0 2 4 6 0 2 4 6 0 2 4 6 Connect the Gaps Between Null Values in the Z Matrix function contour8() P4 = plot(heatmap( z=z, zsmooth="best", connectgaps=true, showscale=false)) P3 = plot(heatmap( z=z, zsmooth="best",showscale=false)) P2 = plot(contour( z=z, connectgaps=true, showscale=false)) P1 = plot(contour( z=z, showscale=false)) Layout = Layout( title="Customizing Spacing Between X and Y Axis Ticks")Ĭontour6() 5 10 15 20 25 30 35 40 45 10 15 20 25 30 35 40 45 50 4 8 12 16 Customizing Spacing Between X and Y Axis Ticks function contour7() Layout = Layout( title="Customizing Size and Range of Contours")Ĭontour5() 0 0.5 1 1.5 2 2.5 3 3.5 4 0 0.5 1 1.5 2 2.5 3 3.5 4 0 2 4 6 8 Customizing Size and Range of Contours function contour6()ĭata = contour( z=z, colorscale="Jet", dx=10, x0=5, dy=10, y0=10) Layout = Layout(title="Setting the X and Y Coordinates in a Contour Plot")Ĭontour3() −9 −8 −7 −6 −5 −4 −3 −2 −1 0 1 2 3 4 5 6 7 4 8 12 16 Setting the X and Y Coordinates in a Contour Plot function contour4() Edit on GitHub Contour using PlotlyJS function contour1() ![]()
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