CMDimData.jl: Parametric Analysis +Continuous f(x) +Plotting

Galleries: 🎨 sample output / 🎨 CMDimCircuits.jl/SignalProcessing / 🎨 InspectDR.jl package

— "Focus on the analysis itself, not on data manipulation"
— "The hardest part of data analysis should be annotating the plots!"

Supports separate .jl files to build plots from user-provided data.

• Specify titles, labels, linestyles, etc. for entire PlotCollection (multi-plot object) in a separate file.
• Makes for more readable code.

See EasyPlot.load_plotbuilders() function (TODO: add to docs, currently only in parametric_sin.md sample).

1. Description
   1. Features/Highlights
2. Installation
3. Julia tips
4. Programming interface
   1. Plotting interface
      1. Plotting backends
   2. Saving/Loading {data/plot} ⇔ HDF5 file
5. Sample usage
   1. Sample directory
   2. Live-slice examples
   3. Parametric sin() "simulation"
6. Known limitations

CMDimData.jl provides a high-level abstraction to manipulate multi-dimensional data, and automatically interpolate intermediate values as if it was a continuous function.

The goal is to provide analysis tools that lead to minimal code, written in a natural, and readable fashion.

1. Seamlessly handle multi-dimensional datasets with MDDatasets.jl
   • Perform the same operation on all elements (usually) without having to write explicit loops.
   • Results of data reductions (ex: minimum(), integrations, ...) are handled the same as any other data.
2. Easily plot multi-dimensional results with EasyPlot module.
   • Quickly organize and plot the results in a way that sheds light on the studied phenomenon.
   • Support for multiple backends
   • Generate eye diagrams (even for backends without native support).
3. Read/write plots to HDF5 files with EasyData module.

CMDimData.jl is registered with Julia's General registry. It can be installed using Julia's built-in package manager:

julia> ]
pkg> add CMDimData
pkg> add MDDatasets

Note that MDDatasets.jl will automatically be installed alongside CMDimData.jl. However, add-ing it explicitly gives code from the active project/environment direct access to its features.

Moreover, it is highly suggested to install InspectDR.jl. It is the most tested integration for plotting at the moment:

julia> ]
pkg> add InspectDR

Examples of how to use CMDimData are provided in the sample/ subdirectory.

A few examples are organized by function:

• Sample plots: sample/plots/
• "Live-Slice" examples: sample/LiveSlice/

Detailed walthroughs:

• Parametric sin() "simulation": sample/analysis_fmtfiles/parametric_sin.md

More elaborate examples of constructing EasyPlot.Plot/PlotCollection objects can be found in the sample/plots/ folder.

Extensive compatibility testing of CMDimData.jl has not been performed. The module has been tested using the following environment(s):

• Linux / Julia-1.3.1

The CMDimData.jl module is not yet mature. Expect significant changes.