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A.4.1 Differences From Old-Style Plot Windows

A brief summary of improvements these windows offer over the old-style plot windows is:

New Sky Coordinate Plot
New data plot options
Improved interactive response
Better support for large datasets
Several features have been introduced to provide more meaningful visualisation of large datasets. Improved density-like plots and contours give you better ways to understand plots containing many more points than there are pixels to plot them on. There is separately some improvement in scalability: you can typically get reasonable interactive performance up to about 10 million points depending on available memory etc and what you're doing (though there are reports of it working with several 108 points). The intention is to improve this limit further in future.
New plot shading modes
Density colour coding for all plot types, with colour map either absolute or modifying dataset base colour. The result is something that looks like a scatter plot at low densities and a density plot for high densities, and generally means that you can easily make quantitative sense of overcrowded regions of a scatter plot. Flat, transparent and aux colour coding still available as before.
Improved axis labelling
Analytic function plotting in 2D
Plot functions of X or Y coordinate using algebraic expression language.
Many more configuration options including legend placement, grid display and colour, antialiasing, text label crowding limits etc etc.

The new windows allow you to assemble a stack of layers representing different plot types of different data sets on the same axes. The user interface for controlling this is quite a bit different than for the old-style plot windows, and is described in the subsequent sections. However, making a simple plot is still simple: select a table, select the columns, and you're off.

Some features from the old-style plots that are not currently available in the new-style plots are:

These may be introduced in a future release, possibly informed by user demand.

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