8.15. Compute Attribute Array Frequency Histogram

Description

This Filter accepts one or more numeric DataArray inputs and generates corresponding histogram DataArray outputs within a target DataGroup. For each selected array, it divides the data range—using either automatically derived or user-defined minimum/maximum values—into equal-width bins and counts the number of elements per bin.

Optionally, a mask DataArray can be provided to include only specific elements in the histogram computation.

Outputs include:

  • Counts DataArray: A tuple for each bin representing the number of elements in that bin.

  • Bin Ranges DataArray: A two-component tuple per bin defining the inclusive lower bound and exclusive upper bound.

  • Most Populated Bin DataArray: Reports the index of the bin that has the most values.

  • Modal Bin Ranges NeighborList (optional): Specifies the inclusive lower and exclusive upper bound bin indices containing the input data’s mode(s). Because there can be multiple modes, this list may include more than two entries.

Example Data

Using some data about the “Old Faithful” geyser in the United States from the R site, here is the top few lines of data:

Duration, Wait Time {3.6,79}, {1.8,54}, {3.333,74}, {2.283,62}, {4.533,85}, {2.883,55}, {4.7,88}, ..

Example Output

The range on the data is [1.6, 5.1]. Using 8 bins starting from 1.5 with a bin width of 0.5 the expected output for a “Left Closed, Right Open” histogram is the following table data.

[1.5,2) 51 [2,2.5) 41 [2.5,3) 5 [3,3.5) 7 [3.5,4) 30 [4,4.5) 73 [4.5,5) 61 [5,5.5) 4

Example Plot

Example Plot of the Frequency Data from the Old Faithful data set

Additional Information

Also see Histogram Quick Reference at https://plot.ly/histogram/.

Input Parameter(s)

Parameter Name

Parameter Type

Parameter Notes

Description

Number of Bins

Scalar Value

Int32

Specifies number of histogram bins (greater than zero)

Use Custom Min & Max Range

Bool

Whether the user can set the min and max values to consider for the histogram

Min Value

Scalar Value

Float64

Specifies the inclusive lower bound of the histogram.

Max Value

Scalar Value

Float64

Specifies the exclusive upper bound of the histogram.

Calculate Modal Bin Ranges

Bool

Whether to compute the histogram bin ranges that contain the mode values.

Use Mask Array

Bool

Specifies whether or not to use a mask array

Mask Array

Array Selection

Allowed Types: uint8, boolean Comp. Shape: 1

DataPath to the boolean mask array. Values that are true will mark that cell/point as usable.

Input Data

Parameter Name

Parameter Type

Parameter Notes

Description

Input Data Arrays

MultiArraySelection

The list of arrays to calculate histogram(s) for

Output Parameters

Parameter Name

Parameter Type

Parameter Notes

Description

Create New DataGroup for Histograms

Bool

Whether or not to store the calculated histogram(s) in a new DataGroup

New DataGroup Path

DataGroupCreation

The path to the new DataGroup in which to store the calculated histogram(s)

Output DataGroup Path

DataGroupSelection

The complete path to the DataGroup in which to store the calculated histogram(s)

Histogram Bin Counts Array Name

String

Name of the created “Bin Counts” array for each input array.

Histogram Bin Ranges Array Name

String

Name of the created “Bin Ranges” array for each input array.

Most Populated Bin Array Name

String

Name of the created “Most Populated Bin” array for each input array.

Modal Bin Ranges Array Name

DataObjectName

Name of the created “Modal Bin Ranges” array for each input array.

Example Pipelines

  • Image Histogram

  • Confidence Index Histogram

DREAM3D-NX Help

If you need help, need to file a bug report or want to request a new feature, please head over to the DREAM3DNX-Issues GitHub site where the community of DREAM3D-NX users can help answer your questions.

Example Data (Raw)

 Index, Duration, Wait Time
 {1,3.6,79},
 {2,1.8,54},
 {3,3.333,74},
 {4,2.283,62},
 {5,4.533,85},
 {6,2.883,55},
 {7,4.7,88},
 {8,3.6,85},
 {9,1.95,51},
 {10,4.35,85},
 {11,1.833,54},
 {12,3.917,84},
 {13,4.2,78},
 {14,1.75,47},
 {15,4.7,83},
 {16,2.167,52},
 {17,1.75,62},
 {18,4.8,84},
 {19,1.6,52},
 {20,4.25,79},
 {21,1.8,51},
 {22,1.75,47},
 {23,3.45,78},
 {24,3.067,69},
 {25,4.533,74},
 {26,3.6,83},
 {27,1.967,55},
 {28,4.083,76},
 {29,3.85,78},
 {30,4.433,79},
 {31,4.3,73},
 {32,4.467,77},
 {33,3.367,66},
 {34,4.033,80},
 {35,3.833,74},
 {36,2.017,52},
 {37,1.867,48},
 {38,4.833,80},
 {39,1.833,59},
 {40,4.783,90},
 {41,4.35,80},
 {42,1.883,58},
 {43,4.567,84},
 {44,1.75,58},
 {45,4.533,73},
 {46,3.317,83},
 {47,3.833,64},
 {48,2.1,53},
 {49,4.633,82},
 {50,2,59},
 {51,4.8,75},
 {52,4.716,90},
 {53,1.833,54},
 {54,4.833,80},
 {55,1.733,54},
 {56,4.883,83},
 {57,3.717,71},
 {58,1.667,64},
 {59,4.567,77},
 {60,4.317,81},
 {61,2.233,59},
 {62,4.5,84},
 {63,1.75,48},
 {64,4.8,82},
 {65,1.817,60},
 {66,4.4,92},
 {67,4.167,78},
 {68,4.7,78},
 {69,2.067,65},
 {70,4.7,73},
 {71,4.033,82},
 {72,1.967,56},
 {73,4.5,79},
 {74,4,71},
 {75,1.983,62},
 {76,5.067,76},
 {77,2.017,60},
 {78,4.567,78},
 {79,3.883,76},
 {80,3.6,83},
 {81,4.133,75},
 {82,4.333,82},
 {83,4.1,70},
 {84,2.633,65},
 {85,4.067,73},
 {86,4.933,88},
 {87,3.95,76},
 {88,4.517,80},
 {89,2.167,48},
 {90,4,86},
 {91,2.2,60},
 {92,4.333,90},
 {93,1.867,50},
 {94,4.817,78},
 {95,1.833,63},
 {96,4.3,72},
 {97,4.667,84},
 {98,3.75,75},
 {99,1.867,51},
 {100,4.9,82},
 {101,2.483,62},
 {102,4.367,88},
 {103,2.1,49},
 {104,4.5,83},
 {105,4.05,81},
 {106,1.867,47},
 {107,4.7,84},
 {108,1.783,52},
 {109,4.85,86},
 {110,3.683,81},
 {111,4.733,75},
 {112,2.3,59},
 {113,4.9,89},
 {114,4.417,79},
 {115,1.7,59},
 {116,4.633,81},
 {117,2.317,50},
 {118,4.6,85},
 {119,1.817,59},
 {120,4.417,87},
 {121,2.617,53},
 {122,4.067,69},
 {123,4.25,77},
 {124,1.967,56},
 {125,4.6,88},
 {126,3.767,81},
 {127,1.917,45},
 {128,4.5,82},
 {129,2.267,55},
 {130,4.65,90},
 {131,1.867,45},
 {132,4.167,83},
 {133,2.8,56},
 {134,4.333,89},
 {135,1.833,46},
 {136,4.383,82},
 {137,1.883,51},
 {138,4.933,86},
 {139,2.033,53},
 {140,3.733,79},
 {141,4.233,81},
 {142,2.233,60},
 {143,4.533,82},
 {144,4.817,77},
 {145,4.333,76},
 {146,1.983,59},
 {147,4.633,80},
 {148,2.017,49},
 {149,5.1,96},
 {150,1.8,53},
 {151,5.033,77},
 {152,4,77},
 {153,2.4,65},
 {154,4.6,81},
 {155,3.567,71},
 {156,4,70},
 {157,4.5,81},
 {158,4.083,93},
 {159,1.8,53},
 {160,3.967,89},
 {161,2.2,45},
 {162,4.15,86},
 {163,2,58},
 {164,3.833,78},
 {165,3.5,66},
 {166,4.583,76},
 {167,2.367,63},
 {168,5,88},
 {169,1.933,52},
 {170,4.617,93},
 {171,1.917,49},
 {172,2.083,57},
 {173,4.583,77},
 {174,3.333,68},
 {175,4.167,81},
 {176,4.333,81},
 {177,4.5,73},
 {178,2.417,50},
 {179,4,85},
 {180,4.167,74},
 {181,1.883,55},
 {182,4.583,77},
 {183,4.25,83},
 {184,3.767,83},
 {185,2.033,51},
 {186,4.433,78},
 {187,4.083,84},
 {188,1.833,46},
 {189,4.417,83},
 {190,2.183,55},
 {191,4.8,81},
 {192,1.833,57},
 {193,4.8,76},
 {194,4.1,84},
 {195,3.966,77},
 {196,4.233,81},
 {197,3.5,87},
 {198,4.366,77},
 {199,2.25,51},
 {200,4.667,78},
 {201,2.1,60},
 {202,4.35,82},
 {203,4.133,91},
 {204,1.867,53},
 {205,4.6,78},
 {206,1.783,46},
 {207,4.367,77},
 {208,3.85,84},
 {209,1.933,49},
 {210,4.5,83},
 {211,2.383,71},
 {212,4.7,80},
 {213,1.867,49},
 {214,3.833,75},
 {215,3.417,64},
 {216,4.233,76},
 {217,2.4,53},
 {218,4.8,94},
 {219,2,55},
 {220,4.15,76},
 {221,1.867,50},
 {222,4.267,82},
 {223,1.75,54},
 {224,4.483,75},
 {225,4,78},
 {226,4.117,79},
 {227,4.083,78},
 {228,4.267,78},
 {229,3.917,70},
 {230,4.55,79},
 {231,4.083,70},
 {232,2.417,54},
 {233,4.183,86},
 {234,2.217,50},
 {235,4.45,90},
 {236,1.883,54},
 {237,1.85,54},
 {238,4.283,77},
 {239,3.95,79},
 {240,2.333,64},
 {241,4.15,75},
 {242,2.35,47},
 {243,4.933,86},
 {244,2.9,63},
 {245,4.583,85},
 {246,3.833,82},
 {247,2.083,57},
 {248,4.367,82},
 {249,2.133,67},
 {250,4.35,74},
 {251,2.2,54},
 {252,4.45,83},
 {253,3.567,73},
 {254,4.5,73},
 {255,4.15,88},
 {256,3.817,80},
 {257,3.917,71},
 {258,4.45,83},
 {259,2,56},
 {260,4.283,79},
 {261,4.767,78},
 {262,4.533,84},
 {263,1.85,58},
 {264,4.25,83},
 {265,1.983,43},
 {266,2.25,60},
 {267,4.75,75},
 {268,4.117,81},
 {269,2.15,46},
 {270,4.417,90},
 {271,1.817,46},
 {272,4.467,74}}