implot/README.md

# ImPlot
ImPlot is an immediate mode plotting widget for [Dear ImGui](https://github.com/ocornut/imgui). It aims to provide a first-class API that will make ImGui users feel right at home. ImPlot is well suited for visualizing program data in real-time and requires minimal code to integrate. Just like ImGui, it does not burden the end user with GUI state managment, avoids STL containers and C++ headers, and has no external dependencies except for ImGui itself. 

<img src="https://raw.githubusercontent.com/wiki/epezent/implot/screenshots/controls.gif" width="285"> <img src="https://raw.githubusercontent.com/wiki/epezent/implot/screenshots/dnd.gif" width="285"> <img src="https://raw.githubusercontent.com/wiki/epezent/implot/screenshots/log.gif" width="285">

<img src="https://raw.githubusercontent.com/wiki/epezent/implot/screenshots/bar.gif" width="285"> <img src="https://raw.githubusercontent.com/wiki/epezent/implot/screenshots/query.gif" width="285"> 
<img src="https://raw.githubusercontent.com/wiki/epezent/implot/screenshots/views.gif" width="285"> 

## Features

- multiple plot types: line, scatter, vertical/horizontal bars, error bars, with more likely to come
- mix/match multiple plot items on a single plot
- configurable axes ranges and scaling (linear/log)
- reversible and lockable axes
- controls for zooming, panning, box selection, and auto-fitting data
- controls for creating persistent query ranges (see demo)
- several plot styling options: 10 marker types, adjustable marker sizes, line weights, outline colors, fill colors, etc.
- optional plot titles, axis labels, and grid labels
- 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 
- mouse cursor location display and optional crosshairs cursor
- customizable data getters and data striding (just like ImGui:PlotLines)
- relatively good performance for high density plots

## Usage

The API is used just like any other ImGui `Begin`/`End` function. First, start a plotting context with `BeginPlot()`. Next, plot as many items as you want with the provided API functions (e.g. `Plot()`, `PlotBar()`, `PlotErrorBars()`, etc). Finally, wrap things up with a call to `EndPlot()`. That's it! 

```cpp
if (ImGui::BeginPlot("My Plot")) {
    ImGui::Plot("My Line Plot", x_data, y_data, 1000);
    ImGui::PlotBar("My Bar Plot", values, 10);
    ...
    ImGui::EndPlot();
}
```

Consult `implot_demo.cpp` for a comprehensive example of ImPlot's features. 

## Integration

Just add `implot.h`, `implot.cpp`, and optionally `implot_demo.cpp` to your sources. This assumes you already have an ImGui-ready environment. If not, consider trying [mahi-gui](https://github.com/mahilab/mahi-gui), which bundles ImGui, ImPlot, and several other packages for you.

## Special Notes
- By default, no anti-aliasing is done on line plots for performance reasons. If you use 4x MSAA, then you likely won't even notice. However, you can re-enable AA with the `ImPlotFlags_AntiAliased` flag.
- If you plan to render several thousands lines or points, then you should consider enabling 32-bit indices by uncommenting `#define ImDrawIdx unsigned int` in your `imconfig.h` file, OR handling the `ImGuiBackendFlags_RendererHasVtxOffset` flag in your renderer (the official OpenGL3 renderer supports this). If you fail to do this, then you may at some point hit the maximum number of indices that can be rendered.

## FAQ

**Q: Why?**

A: ImGui is an incredibly powerful tool for rapid prototyping and development, but provides only limited mechanisms for data visualation. Two dimensional plots are ubiquitous and useful to almost any application. Being able to visualize your data in real-time will give you insight and better understanding of your application.

**Q: Is ImPlot suitable for real-time plotting?**

A: Yes, within reason. You can plot tens to hundreds of thousands of points without issue, but don't expect plotting over a million to be a buttery smooth experience. We do our best to keep it fast and avoid memory allocations. 

**Q: Can plot styles be modified?**

A: Yes. Plot colors, palletes, and various styling variables can be pushed/popped or modified permantly on startup.

**Q: Does ImPlot support logarithmic scaling?**

A: Yep!

**Q: Does ImPlot support X plot types?**

A: Maybe. Check the gallery and demo to see if your desired plot type is shown. If not, consider submitting an issue or better yet, a PR!

**Q: Does ImPlot support 3D plots?**

A: No, and likely never will since ImGui only deals in 2D rendering.

**Q: Does ImPlot provide analytic tools?**

A: Not exactly, but it does give you the ability to query plot sub-ranges, with which you can process your data however you like. 

**Q: Can plots be exported/saved to image?**

A: Not currently. Use your OS's screen capturing mechanisms if you need to capture a plot. ImPlot is not suitable for rendering publication quality plots; it is only intended to be used as a visualization tool. Post-process your data with MATLAB and matplotlib for these purposes.

**Q: Can ImPlot be used with other languages/bindings?**

A: Yes, you can use the C binding, [cimplot](https://github.com/cimgui/cimplot) with most high level languages.