Oliver Schulz 19a9726e61 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.

S
Description
Powerful convenience for Julia visualizations and data analysis
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