Oliver Schulz 1188230641 Change histogram implementation, use StatsPlots, add new histogram styles
New series recipes for binned data:

* barbins
* scatterbins
* stepbins

New series recipes for histogram:

* barhist (histogram is now an alias for this)
* scatterhist
* stephist

Supports plotting 1D and 2D StatsBase histograms, seriestype can be set to
bar(bins), scatter(bins) or step(bins).

Also adds support for some common auto-binning modes:

* :sturges, :auto - Sturges' formula
* :sqrt - Square-root choice
* :rice - Rice Rule
* :scott - Scott's normal reference rule
* :fd - Freedman–Diaconis rule

Maybe these could be contributed to StatsBase at some point.

Error bars currently don't work correctly for scatterbins and scatterhist,
due to problem with manipulating error bars in a series recipe, but do work
for "plot(h::StatsBase.Histogram, seriestype = :scatter)" (works around
the problem by calling scatter directly, it seems that error bars can be
manipulated correctly in a type recipe).
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Plots

Build Status Join the chat at https://gitter.im/tbreloff/Plots.jl

Author: Thomas Breloff (@tbreloff)

Plots is a plotting API and toolset. My goals with the package are:

  • Powerful. Do more with less. Complex visualizations become easy.
  • Intuitive. Stop reading so much documentation. Commands should "just work".
  • Concise. Less code means fewer mistakes and more efficient development/analysis.
  • Flexible. Produce your favorite plots from your favorite package, but quicker and simpler.
  • Consistent. Don't commit to one graphics package, use the same code everywhere.
  • Lightweight. Very few dependencies.
  • Smart. Attempts to figure out what you want it to do... not just what you tell it.

View the full documentation.

Description
Powerful convenience for Julia visualizations and data analysis
Readme 114 MiB
Languages
Julia 99.9%
Shell 0.1%