Visualization Enhancements in Maple 16 - Maple Programming Help

Visualization Enhancements in Maple 16

Improvements to the Appearance of 2-D and 3-D Plots

In Maple 16, the default values of many plot options were updated to give the most visually appealing plots. For 2-D plots, this includes changes to line thickness and the transparency of filled regions. Updates to 3-D plots include changes to the sampling rate, the lighting and the surface glossiness.

 > $\mathrm{restart}:$
 > $\mathrm{with}\left(\mathrm{plots}\right):$
 > $A≔\mathrm{Array}\left(1..2\right):$
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 > $\mathrm{display}\left(\mathrm{A}\right)$

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 > $\mathrm{display}\left(P\right)$

Smarter Views

The smart view feature for the 2-D plot command is new for Maple 16. When this feature is enabled through the smartview option (set to true by default), Maple attempts to find an appropriate view of the computed data that displays the important regions of the plot.

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 > $\mathrm{display}\left(V\right);$

New Commands in the plottools Package

In Maple 16, the prism, sector, and annulus commands have been added to the plottools package. For more information, see the prism, sector, and annulus help pages.

 > $\mathrm{with}\left(\mathrm{plottools}\right):$
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 > $\mathrm{display}\left(T\right);$

New Color Schemes

Maple 16 features new default colors for 2-D plots taken from the "Niagara" palette defined in the new ColorTools package. The plots:-setcolors command allows you to use any predefined or customized palette available through ColorTools. For more information, see The New ColorTools Package in Maple 16.

 > $\mathrm{ColorTools}:-\mathrm{GetPalette}\left("Niagara"\right);$
 $\left({Palette Niagara:}{}\colorbox[rgb]{0.470588235294118,0,0.0549019607843137}{{Burgundy}}{}\colorbox[rgb]{0,0.0549019607843137,0.470588235294118}{{Navy}}{}\colorbox[rgb]{0.290196078431373,0.470588235294118,0}{{LeafGreen}}{}\colorbox[rgb]{0.243137254901961,0.341176470588235,0.541176470588235}{{Azure}}{}\colorbox[rgb]{0.470588235294118,0,0.447058823529412}{{Purple}}{}\colorbox[rgb]{0,0.470588235294118,0.415686274509804}{{BlueGreen}}{}\colorbox[rgb]{0.376470588235294,0.254901960784314,0.568627450980392}{{Violet}}{}\colorbox[rgb]{0,0.290196078431373,0.470588235294118}{{DeepBlue}}{}\colorbox[rgb]{0.470588235294118,0.298039215686275,0}{{Cinnamon}}{}\colorbox[rgb]{0.568627450980392,0.254901960784314,0.290196078431373}{{PaleRed}}{}\colorbox[rgb]{0.243137254901961,0.450980392156863,0.541176470588235}{{GreenishBlue}}{}\colorbox[rgb]{0.470588235294118,0,0.231372549019608}{{DarkRose}}{}\colorbox[rgb]{0,0.470588235294118,0.247058823529412}{{BluishGreen}}{}\colorbox[rgb]{0.568627450980392,0.254901960784314,0.525490196078431}{{DarkOrchid}}{}\colorbox[rgb]{0.317647058823529,0,0.470588235294118}{{BluishPurple}}{}\colorbox[rgb]{0.466666666666667,0.470588235294118,0}{Olive}{}\right)$ (4.1)
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 > $\mathrm{plots}:-\mathrm{display}\left(\mathrm{Array}\left(\left[p,q\right]\right)\right)$

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Dataset Plots

Maple 16 has a number of new features related to dataset plots. These include: