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Update README.md

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Evan Pezent 2020-09-06 16:23:40 -05:00 committed by GitHub
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@ -23,21 +23,21 @@ ImPlot is an immediate mode plotting library for [Dear ImGui](https://github.com
- and more likely to come - and more likely to come
- mix/match multiple plot items on a single plot - mix/match multiple plot items on a single plot
- configurable axes ranges and scaling (linear/log) - configurable axes ranges and scaling (linear/log)
- support for time formatted x-axes
- reversible and lockable axes - reversible and lockable axes
- support for up to three independent y-axes - support for up to three independent y-axes
- controls for zooming, panning, box selection, and auto-fitting data - controls for zooming, panning, box selection, and auto-fitting data
- controls for creating persistent query ranges (see demo) - controls for creating persistent query ranges (see demo)
- remappable input controls - remappable input controls
- several plot styling options: 10 marker types, adjustable marker sizes, line weights, outline colors, fill colors, etc. - several plot styling options: 10 marker types, adjustable marker sizes, line weights, outline colors, fill colors, etc.
- built-in and user definable colormaps - 10 built-in and user definable colormaps
- optional plot titles, axis labels, and grid labels - optional plot titles, axis labels, and grid labels
- optional legend with toggle buttons to quickly show/hide items - optional legend with toggle buttons to quickly show/hide items
- size-aware grid with smart labels that are always power-of-ten multiples of 1, 2, and 5
- default styling based on current ImGui theme, but most elements can be customized independently - default styling based on current ImGui theme, but most elements can be customized independently
- mouse cursor location display and optional crosshairs cursor
- customizable data getters and data striding (just like ImGui:PlotLine) - customizable data getters and data striding (just like ImGui:PlotLine)
- relatively good performance for high density plots - relatively good performance for high density plots
- support for single and double precision data - support for single and double precision data
- and more! (see [Announcements](https://github.com/epezent/implot/issues/48))
## Usage ## Usage