Histogram3D

Histogram3D[{{x1, y1}, {x2, y2}, ...}]
plots a 3D histogram of the values .

Histogram3D[{{x1, y1}, {x2, y2}, ...}, bspec]
plots a 3D histogram with bins specified by bspec.

Histogram3D[{{x1, y1}, {x2, y2}, ...}, bspec, hspec]
plots a 3D histogram with bin heights computed according to the specification hspec.

Histogram3D[{data1, data2, ...}]
plots 3D histograms for multiple datasets .

Details and OptionsDetails and Options

  • Histogram3D[data] by default plots a histogram with equal bins chosen to approximate an assumed underlying smooth distribution of the values .
  • The width of each bin is computed according to the values ; the width according to the .
  • The following bin specifications bpsec can be given:
  • nuse n bins
    {w}use bins of width w
    {min,max,w}use bins of width w from min to max
    {{b1,b2,...}}use bins
    Automaticdetermine bin widths automatically
    "name"use a named binning method
    {"Log",bspec}apply binning bspec on log-transformed data
    fbapply fb to get an explicit bin specification
    {xspec,yspec}give different x and y specifications
  • The binning specification is taken to use the Automatic underlying binning method.
  • Possible named binning methods include:
  • "Sturges"compute the number of bins based on the length of data
    "Scott"asymptotically minimize the mean square error
    "FreedmanDiaconis"twice the interquartile range divided by the cube root of sample size
    "Knuth"balance likelihood and prior probability of a piecewise uniform model
    "Wand"one-level recursive approximate Wand binning
  • The function fb in Histogram3D[data, fb] is applied to a list of all , and should return an explicit bin list . In Histogram3D[data, {fx, fy}], fx is applied to the list of , and fy to the list of .
  • Different forms of 3D histogram can be obtained by giving different bin height specifications hspec in Histogram3D[data, bspec, hspec]. The following forms can be used:
  • "Count"the number of values lying in each bin
    "CumulativeCount"cumulative counts
    "SurvivalCount"survival counts
    "Probability"fraction of values lying in each bin
    "PDF"probability density function
    "CDF"cumulative distribution function
    "SF"survival function
    "HF"hazard function
    "CHF"cumulative hazard function
    {"Log",hspec}log-transformed height specification
    fhheights obtained by applying fh to bins and counts
  • The function fh in Histogram3D[data, bspec, fh] is applied to three arguments: a list of bins , a list of bins , and the corresponding 2D array of counts . The function should return an array of heights to be used for each of the .
  • Only values that consist of real numbers are assigned to bins; others are taken to be missing.
  • In Histogram3D[{data1, data2, ...}, ...], automatic bin locations are determined by combining all the datasets .
  • Histogram3D[{..., wi[datai, ...], ...}, ...] renders the histogram elements associated with dataset according to the specification defined by the symbolic wrapper .
  • Possible symbolic wrappers are the same as for BarChart3D, and include Style, Labeled, Legended, etc.
  • Histogram3D has the same options as Graphics3D with the following additions and changes:
  • AxesTruewhether to draw axes
    BarOriginBottomorigin of histogram bars
    BoxRatios{1,1,0.4}bounding 3D box ratios
    ChartBaseStyleAutomaticoverall style for bars
    ChartElementFunctionAutomatichow to generate raw graphics for bars
    ChartElementsAutomaticgraphics to use in each of the bars
    ChartLabelsNonecategory labels for datasets
    ChartLayoutAutomaticoverall layout to use
    ChartLegendsNonelegends for data elements and datasets
    ChartStyleAutomaticstyle for bars
    ColorFunctionAutomatichow to color bars
    ColorFunctionScalingTruewhether to normalize arguments to ColorFunction
    LabelingFunctionAutomatichow to label elements
    LegendAppearanceAutomaticoverall appearance of legends
    Lighting"Neutral"simulated light sources to use
    MethodAutomaticmethods to use
    PerformanceGoal$PerformanceGoalaspects of performance to try to optimize
    ScalingFunctionsNonehow to scale individual coordinates
  • Possible settings for ChartLayout include and .
  • The arguments supplied to ChartElementFunction are the bin region , the bin values lists, and metadata from each level in a nested list of datasets.
  • A list of built-in settings for ChartElementFunction can be obtained from .
  • The argument supplied to ColorFunction is the height for each bin.
  • With ScalingFunctions->{sx, sy, sz}, the coordinate is scaled using etc.
  • Style and other specifications from options and other constructs in BarChart are effectively applied in the order ChartStyle, ColorFunction, Style and other wrappers, ChartElements, and ChartElementFunction, with later specifications overriding earlier ones.

ExamplesExamplesopen allclose all

Basic Examples (4)Basic Examples (4)

Generate a 3D histogram for a list of pairs:

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Multiple datasets:

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Generate a probability histogram for a list of values:

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Use any graphic for pictorial bars:

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Use procedural bars:

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New in 7 | Last modified in 8
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