ROOT   Reference Guide
TKDTreeBinning Class Reference

<- TKDTreeBinning - A class providing multidimensional binning ->

The class implements multidimensional binning by constructing a TKDTree inner structure from the data which is used as the bins. The bins are retrieved as two double*, one for the minimum bin edges, the other as the maximum bin edges. For one dimension one of these is enough to correctly define the bins. For the multidimensional case both minimum and maximum ones are necessary for the bins to be well defined. The bin edges of d-dimensional data is a d-tet of the bin's thresholds. For example if d=3 the minimum bin edges of bin b is of the form of the following array: {xbmin, ybmin, zbmin}. You also have the possibility to sort the bins by their density.

Details of usage can be found in \$ROOTSYS/tutorials/math/kdTreeBinning.C and more information on the embedded TKDTree documentation.

Definition at line 29 of file TKDTreeBinning.h.

## Public Types

enum  { kAdjustBinEdges = BIT(14) }

Public Types inherited from TObject
enum  {
kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 ,
kBitMask = 0x00ffffff
}

enum  { kSingleKey = BIT(0) , kOverwrite = BIT(1) , kWriteDelete = BIT(2) }

enum  EDeprecatedStatusBits { kObjInCanvas = BIT(3) }

enum  EStatusBits {
kCanDelete = BIT(0) , kMustCleanup = BIT(3) , kIsReferenced = BIT(4) , kHasUUID = BIT(5) ,
kCannotPick = BIT(6) , kNoContextMenu = BIT(8) , kInvalidObject = BIT(13)
}

## Public Member Functions

TKDTreeBinning ()
Default constructor (for I/O) More...

TKDTreeBinning (UInt_t dataSize, UInt_t dataDim, const std::vector< double > &data, UInt_t nBins=100, bool adjustBinEdges=false)
Class's constructor taking the size of the data points, dimension, a data vector and the number of bins (default = 100). More...

TKDTreeBinning (UInt_t dataSize, UInt_t dataDim, Double_t *data, UInt_t nBins=100, bool adjustBinEdges=false)
Class's constructor taking the size of the data points, dimension, a data array and the number of bins (default = 100). More...

~TKDTreeBinning ()
Class's destructor. More...

void FillBinData (ROOT::Fit::BinData &data) const
Fill the bin data set (class ROOT::Fit::BinData) with the result of the TKDTree binning. More...

UInt_t FindBin (const Double_t *point) const
find the corresponding bin index given the coordinate of a point More...

const Double_tGetBinCenter (UInt_t bin) const
Returns the geometric center of of the bin. More...

UInt_t GetBinContent (UInt_t bin) const
Returns the number of points in bin. 'bin' is between 0 and fNBins - 1. More...

Double_t GetBinDensity (UInt_t bin) const
Returns the density in bin. More...

std::pair< const Double_t *, const Double_t * > GetBinEdges (UInt_t bin) const
Returns a pir with the bin's edges. 'bin' is between 0 and fNBins - 1. More...

UInt_t GetBinMaxDensity () const
Return the bin with maximum density. More...

const Double_tGetBinMaxEdges (UInt_t bin) const
Returns the bin's maximum edges. 'bin' is between 0 and fNBins - 1. More...

UInt_t GetBinMinDensity () const
Return the bin with minimum density. More...

const Double_tGetBinMinEdges (UInt_t bin) const
Returns the bin's minimum edges. 'bin' is between 0 and fNBins - 1. More...

std::pair< const Double_t *, const Double_t * > GetBinsEdges () const
Returns a pair of an array with all bins minimum and maximum edges. More...

const Double_tGetBinsMaxEdges () const
Returns an array with all bins' maximum edges The edges are arranges as xmax_1,ymax_1, xmax_2,ymax_2,....xmax_{nbin},ymax_{nbin}. More...

const Double_tGetBinsMinEdges () const
Returns an array with all bins' minimum edges The edges are arranges as xmin_1,ymin_1, xmin_2,ymin_2,....xmin_{nbin},ymin_{nbin}. More...

Double_t GetBinVolume (UInt_t bin) const
Returns the (hyper)volume of bin. 'bin' is between 0 and fNBins - 1. More...

const Double_tGetBinWidth (UInt_t bin) const
Returns a pointer to the vector of the bin widths. More...

Double_t GetDataMax (UInt_t dim) const
Returns the maximum of the data in the dim coordinate. 'dim' is between 0 and fDim - 1. More...

Double_t GetDataMin (UInt_t dim) const
Returns the minimum of the data in the dim coordinate. 'dim' is between 0 and fDim - 1. More...

UInt_t GetDim () const
Returns the number of dimensions. More...

const Double_tGetDimData (UInt_t dim) const

UInt_t GetNBins () const
Returns the number of bins. More...

const Double_tGetOneDimBinEdges () const
Returns a pointer to the vector of the bin edges for one dimensional binning only. More...

std::vector< std::vector< Double_t > > GetPointsInBin (UInt_t bin) const
Return the corresponding point belonging to the bin i. More...

TKDTreeIDGetTree () const
Returns the kD-Tree structure of the binning. More...

void SetNBins (UInt_t bins)
Sets binning inner structure. More...

void SortBinsByDensity (Bool_t sortAsc=kTRUE)
Sorts bins by their density. More...

const Double_tSortOneDimBinEdges (Bool_t sortAsc=kTRUE)
Sort the one-dimensional bin edges and retuns a pointer to them. More...

Public Member Functions inherited from TObject
TObject ()
TObject constructor. More...

TObject (const TObject &object)
TObject copy ctor. More...

virtual ~TObject ()
TObject destructor. More...

void AbstractMethod (const char *method) const
Use this method to implement an "abstract" method that you don't want to leave purely abstract. More...

virtual void AppendPad (Option_t *option="")
Append graphics object to current pad. More...

virtual void Browse (TBrowser *b)
Browse object. May be overridden for another default action. More...

ULong_t CheckedHash ()
Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object. More...

virtual const char * ClassName () const
Returns name of class to which the object belongs. More...

virtual void Clear (Option_t *="")

virtual TObjectClone (const char *newname="") const
Make a clone of an object using the Streamer facility. More...

virtual Int_t Compare (const TObject *obj) const
Compare abstract method. More...

virtual void Copy (TObject &object) const
Copy this to obj. More...

virtual void Delete (Option_t *option="")
Delete this object. More...

virtual Int_t DistancetoPrimitive (Int_t px, Int_t py)
Computes distance from point (px,py) to the object. More...

virtual void Draw (Option_t *option="")
Default Draw method for all objects. More...

virtual void DrawClass () const
Draw class inheritance tree of the class to which this object belongs. More...

virtual TObjectDrawClone (Option_t *option="") const
Draw a clone of this object in the current selected pad for instance with: gROOT->SetSelectedPad(gPad). More...

virtual void Dump () const
Dump contents of object on stdout. More...

virtual void Error (const char *method, const char *msgfmt,...) const
Issue error message. More...

virtual void Execute (const char *method, const char *params, Int_t *error=0)
Execute method on this object with the given parameter string, e.g. More...

virtual void Execute (TMethod *method, TObjArray *params, Int_t *error=0)
Execute method on this object with parameters stored in the TObjArray. More...

virtual void ExecuteEvent (Int_t event, Int_t px, Int_t py)
Execute action corresponding to an event at (px,py). More...

virtual void Fatal (const char *method, const char *msgfmt,...) const
Issue fatal error message. More...

virtual TObjectFindObject (const char *name) const
Must be redefined in derived classes. More...

virtual TObjectFindObject (const TObject *obj) const
Must be redefined in derived classes. More...

virtual Option_tGetDrawOption () const
Get option used by the graphics system to draw this object. More...

virtual const char * GetIconName () const
Returns mime type name of object. More...

virtual const char * GetName () const
Returns name of object. More...

virtual char * GetObjectInfo (Int_t px, Int_t py) const
Returns string containing info about the object at position (px,py). More...

virtual Option_tGetOption () const

virtual const char * GetTitle () const
Returns title of object. More...

virtual UInt_t GetUniqueID () const
Return the unique object id. More...

virtual Bool_t HandleTimer (TTimer *timer)
Execute action in response of a timer timing out. More...

virtual ULong_t Hash () const
Return hash value for this object. More...

Bool_t HasInconsistentHash () const
Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e. More...

virtual void Info (const char *method, const char *msgfmt,...) const
Issue info message. More...

virtual Bool_t InheritsFrom (const char *classname) const
Returns kTRUE if object inherits from class "classname". More...

virtual Bool_t InheritsFrom (const TClass *cl) const
Returns kTRUE if object inherits from TClass cl. More...

virtual void Inspect () const
Dump contents of this object in a graphics canvas. More...

void InvertBit (UInt_t f)

virtual Bool_t IsEqual (const TObject *obj) const
Default equal comparison (objects are equal if they have the same address in memory). More...

virtual Bool_t IsFolder () const
Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...

R__ALWAYS_INLINE Bool_t IsOnHeap () const

virtual Bool_t IsSortable () const

R__ALWAYS_INLINE Bool_t IsZombie () const

virtual void ls (Option_t *option="") const
The ls function lists the contents of a class on stdout. More...

void MayNotUse (const char *method) const
Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More...

virtual Bool_t Notify ()
This method must be overridden to handle object notification. More...

void Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const
Use this method to declare a method obsolete. More...

void operator delete (void *ptr)
Operator delete. More...

void operator delete[] (void *ptr)
Operator delete []. More...

voidoperator new (size_t sz)

voidoperator new (size_t sz, void *vp)

voidoperator new[] (size_t sz)

voidoperator new[] (size_t sz, void *vp)

TObjectoperator= (const TObject &rhs)
TObject assignment operator. More...

virtual void Paint (Option_t *option="")
This method must be overridden if a class wants to paint itself. More...

virtual void Pop ()
Pop on object drawn in a pad to the top of the display list. More...

virtual void Print (Option_t *option="") const
This method must be overridden when a class wants to print itself. More...

virtual Int_t Read (const char *name)
Read contents of object with specified name from the current directory. More...

virtual void RecursiveRemove (TObject *obj)
Recursively remove this object from a list. More...

void ResetBit (UInt_t f)

virtual void SaveAs (const char *filename="", Option_t *option="") const
Save this object in the file specified by filename. More...

virtual void SavePrimitive (std::ostream &out, Option_t *option="")
Save a primitive as a C++ statement(s) on output stream "out". More...

void SetBit (UInt_t f)

void SetBit (UInt_t f, Bool_t set)
Set or unset the user status bits as specified in f. More...

virtual void SetDrawOption (Option_t *option="")
Set drawing option for object. More...

virtual void SetUniqueID (UInt_t uid)
Set the unique object id. More...

virtual void SysError (const char *method, const char *msgfmt,...) const
Issue system error message. More...

R__ALWAYS_INLINE Bool_t TestBit (UInt_t f) const

Int_t TestBits (UInt_t f) const

virtual void UseCurrentStyle ()
Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More...

virtual void Warning (const char *method, const char *msgfmt,...) const
Issue warning message. More...

virtual Int_t Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
Write this object to the current directory. More...

virtual Int_t Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
Write this object to the current directory. More...

## Private Member Functions

TKDTreeBinning (TKDTreeBinning &bins)

TKDTreeBinning operator= (TKDTreeBinning &bins)
Disallowed copy constructor. More...

void ReadjustMaxBinEdges (Double_t *binEdges)

void ReadjustMinBinEdges (Double_t *binEdges)

void SetBinMinMaxEdges (Double_t *binEdges)

void SetBinsContent ()

void SetBinsEdges ()

void SetCommonBinEdges (Double_t *binEdges)

void SetData (const std::vector< double > &data)

void SetData (Double_t *data)
Disallowed assign operator. More...

void SetTreeData ()

## Private Attributes

std::vector< Double_tfBinMaxEdges
The minimum values for the bins' edges for each dimension. More...

std::vector< Double_tfBinMinEdges
[fDataSize*fDim] The data from which a KDTree partition is computed for binning More...

std::vector< UInt_tfBinsContent
Flags if the bin edges are sorted densitywise (or by bin-edge for 1D) in ascending order. More...

std::vector< std::vector< std::pair< Bool_t, Bool_t > > > fCheckedBinEdges
Minimum and maximum data values. More...

std::vector< std::map< Double_t, std::vector< UInt_t > > > fCommonBinEdges
! Auxiliary structure for readjusting the bin edges. Keeps the common bin boundaries More...

std::vector< Double_tfData

TKDTreeIDfDataBins
Index of the bins in the kd-tree (needed when bins are sorted) More...

UInt_t fDataSize
The data dimension. More...

std::vector< std::pair< Double_t, Double_t > > fDataThresholds
The data size. More...

UInt_t fDim
The number of bins. More...

std::vector< UInt_tfIndices
The maximum values for the bins' edges for each dimension. More...

Bool_t fIsSorted

Bool_t fIsSortedAsc
Flags if the bin edges are sorted densitywise (or by bin endges in case of 1-dim ) More...

UInt_t fNBins

## Friends

struct CompareAsc
! Predicate for ascending sort More...

struct CompareDesc
! Predicate for descending sort More...

## Additional Inherited Members

Static Public Member Functions inherited from TObject
static Long_t GetDtorOnly ()
Return destructor only flag. More...

static Bool_t GetObjectStat ()
Get status of object stat flag. More...

static void SetDtorOnly (void *obj)
Set destructor only flag. More...

static void SetObjectStat (Bool_t stat)
Turn on/off tracking of objects in the TObjectTable. More...

Protected Types inherited from TObject
enum  { kOnlyPrepStep = BIT(3) }

Protected Member Functions inherited from TObject
virtual void DoError (int level, const char *location, const char *fmt, va_list va) const
Interface to ErrorHandler (protected). More...

void MakeZombie ()

#include <TKDTreeBinning.h>

Inheritance diagram for TKDTreeBinning:
[legend]

## ◆ anonymous enum

 anonymous enum
Enumerator
kAdjustBinEdges

Definition at line 67 of file TKDTreeBinning.h.

## ◆ TKDTreeBinning() [1/4]

 TKDTreeBinning::TKDTreeBinning ( TKDTreeBinning & bins )
private

## ◆ TKDTreeBinning() [2/4]

 TKDTreeBinning::TKDTreeBinning ( )

Default constructor (for I/O)

Definition at line 113 of file TKDTreeBinning.cxx.

## ◆ TKDTreeBinning() [3/4]

 TKDTreeBinning::TKDTreeBinning ( UInt_t dataSize, UInt_t dataDim, Double_t * data, UInt_t nBins = 100, bool adjustBinEdges = false )

Class's constructor taking the size of the data points, dimension, a data array and the number of bins (default = 100).

It is reccomended to have the number of bins as an exact divider of the data size. The data array must be organized with a stride=1 for the points and = N (the dataSize) for the dimension.

Thus data[] = x1,x2,x3,......xN, y1,y2,y3......yN, z1,z2,...........zN,....

Note that the passed dataSize is not the size of the array but is the number of points (N) The size of the array must be at least dataDim*dataSize

Definition at line 74 of file TKDTreeBinning.cxx.

## ◆ TKDTreeBinning() [4/4]

 TKDTreeBinning::TKDTreeBinning ( UInt_t dataSize, UInt_t dataDim, const std::vector< double > & data, UInt_t nBins = 100, bool adjustBinEdges = false )

Class's constructor taking the size of the data points, dimension, a data vector and the number of bins (default = 100).

It is reccomended to have the number of bins as an exact divider of the data size. The data array must be organized with a stride=1 for the points and = N (the dataSize) for the dimension.

Thus data[] = x1,x2,x3,......xN, y1,y2,y3......yN, z1,z2,...........zN,....

Note that the passed data vector may contains a larger size, in case extra coordinates are associated but not used in building the kdtree The size of thedata vector must be at least dataDim*dataSize

Definition at line 98 of file TKDTreeBinning.cxx.

## ◆ ~TKDTreeBinning()

 TKDTreeBinning::~TKDTreeBinning ( )

Class's destructor.

Definition at line 123 of file TKDTreeBinning.cxx.

## ◆ FillBinData()

 void TKDTreeBinning::FillBinData ( ROOT::Fit::BinData & data ) const

Fill the bin data set (class ROOT::Fit::BinData) with the result of the TKDTree binning.

Definition at line 616 of file TKDTreeBinning.cxx.

## ◆ FindBin()

 UInt_t TKDTreeBinning::FindBin ( const Double_t * point ) const

find the corresponding bin index given the coordinate of a point

Definition at line 626 of file TKDTreeBinning.cxx.

## ◆ GetBinCenter()

 const Double_t * TKDTreeBinning::GetBinCenter ( UInt_t bin ) const

Returns the geometric center of of the bin.

'bin' is between 0 and fNBins - 1, Array must be deleted as "delete [] res"

Definition at line 555 of file TKDTreeBinning.cxx.

## ◆ GetBinContent()

 UInt_t TKDTreeBinning::GetBinContent ( UInt_t bin ) const

Returns the number of points in bin. 'bin' is between 0 and fNBins - 1.

Definition at line 429 of file TKDTreeBinning.cxx.

## ◆ GetBinDensity()

 Double_t TKDTreeBinning::GetBinDensity ( UInt_t bin ) const

Returns the density in bin.

'bin' is between 0 and fNBins - 1 The density is the bin content/ bin volume

Definition at line 475 of file TKDTreeBinning.cxx.

## ◆ GetBinEdges()

 std::pair< const Double_t *, const Double_t * > TKDTreeBinning::GetBinEdges ( UInt_t bin ) const

Returns a pir with the bin's edges. 'bin' is between 0 and fNBins - 1.

Definition at line 406 of file TKDTreeBinning.cxx.

## ◆ GetBinMaxDensity()

 UInt_t TKDTreeBinning::GetBinMaxDensity ( ) const

Return the bin with maximum density.

Definition at line 586 of file TKDTreeBinning.cxx.

## ◆ GetBinMaxEdges()

 const Double_t * TKDTreeBinning::GetBinMaxEdges ( UInt_t bin ) const

Returns the bin's maximum edges. 'bin' is between 0 and fNBins - 1.

Definition at line 393 of file TKDTreeBinning.cxx.

## ◆ GetBinMinDensity()

 UInt_t TKDTreeBinning::GetBinMinDensity ( ) const

Return the bin with minimum density.

Definition at line 601 of file TKDTreeBinning.cxx.

## ◆ GetBinMinEdges()

 const Double_t * TKDTreeBinning::GetBinMinEdges ( UInt_t bin ) const

Returns the bin's minimum edges. 'bin' is between 0 and fNBins - 1.

Definition at line 380 of file TKDTreeBinning.cxx.

## ◆ GetBinsEdges()

 std::pair< const Double_t *, const Double_t * > TKDTreeBinning::GetBinsEdges ( ) const

Returns a pair of an array with all bins minimum and maximum edges.

Definition at line 370 of file TKDTreeBinning.cxx.

## ◆ GetBinsMaxEdges()

 const Double_t * TKDTreeBinning::GetBinsMaxEdges ( ) const

Returns an array with all bins' maximum edges The edges are arranges as xmax_1,ymax_1, xmax_2,ymax_2,....xmax_{nbin},ymax_{nbin}.

Definition at line 360 of file TKDTreeBinning.cxx.

## ◆ GetBinsMinEdges()

 const Double_t * TKDTreeBinning::GetBinsMinEdges ( ) const

Returns an array with all bins' minimum edges The edges are arranges as xmin_1,ymin_1, xmin_2,ymin_2,....xmin_{nbin},ymin_{nbin}.

Definition at line 350 of file TKDTreeBinning.cxx.

## ◆ GetBinVolume()

 Double_t TKDTreeBinning::GetBinVolume ( UInt_t bin ) const

Returns the (hyper)volume of bin. 'bin' is between 0 and fNBins - 1.

Definition at line 488 of file TKDTreeBinning.cxx.

## ◆ GetBinWidth()

 const Double_t * TKDTreeBinning::GetBinWidth ( UInt_t bin ) const

Returns a pointer to the vector of the bin widths.

'bin' is between 0 and fNBins - 1 Array must be deleted as "delete [] res"

Definition at line 571 of file TKDTreeBinning.cxx.

## ◆ GetDataMax()

 Double_t TKDTreeBinning::GetDataMax ( UInt_t dim ) const

Returns the maximum of the data in the dim coordinate. 'dim' is between 0 and fDim - 1.

Definition at line 465 of file TKDTreeBinning.cxx.

## ◆ GetDataMin()

 Double_t TKDTreeBinning::GetDataMin ( UInt_t dim ) const

Returns the minimum of the data in the dim coordinate. 'dim' is between 0 and fDim - 1.

Definition at line 456 of file TKDTreeBinning.cxx.

## ◆ GetDim()

 UInt_t TKDTreeBinning::GetDim ( ) const

Returns the number of dimensions.

Definition at line 424 of file TKDTreeBinning.cxx.

## ◆ GetDimData()

 const Double_t * TKDTreeBinning::GetDimData ( UInt_t dim ) const

Definition at line 447 of file TKDTreeBinning.cxx.

## ◆ GetNBins()

 UInt_t TKDTreeBinning::GetNBins ( ) const

Returns the number of bins.

Definition at line 419 of file TKDTreeBinning.cxx.

## ◆ GetOneDimBinEdges()

 const double * TKDTreeBinning::GetOneDimBinEdges ( ) const

Returns a pointer to the vector of the bin edges for one dimensional binning only.

size of the vector is fNBins + 1 is the vector has been sorted in increasing bin edges N.B : if one does not call SortOneDimBinEdges the bins are not ordered

Definition at line 505 of file TKDTreeBinning.cxx.

## ◆ GetPointsInBin()

 std::vector< std::vector< Double_t > > TKDTreeBinning::GetPointsInBin ( UInt_t bin ) const

Return the corresponding point belonging to the bin i.

Definition at line 641 of file TKDTreeBinning.cxx.

## ◆ GetTree()

 TKDTreeID * TKDTreeBinning::GetTree ( ) const

Returns the kD-Tree structure of the binning.

Definition at line 439 of file TKDTreeBinning.cxx.

## ◆ operator=()

 TKDTreeBinning TKDTreeBinning::operator= ( TKDTreeBinning & bins )
private

Disallowed copy constructor.

## ◆ ReadjustMaxBinEdges()

 void TKDTreeBinning::ReadjustMaxBinEdges ( Double_t * binEdges )
private

Definition at line 329 of file TKDTreeBinning.cxx.

## ◆ ReadjustMinBinEdges()

 void TKDTreeBinning::ReadjustMinBinEdges ( Double_t * binEdges )
private

Definition at line 300 of file TKDTreeBinning.cxx.

## ◆ SetBinMinMaxEdges()

 void TKDTreeBinning::SetBinMinMaxEdges ( Double_t * binEdges )
private

Definition at line 267 of file TKDTreeBinning.cxx.

## ◆ SetBinsContent()

 void TKDTreeBinning::SetBinsContent ( )
private

Definition at line 242 of file TKDTreeBinning.cxx.

## ◆ SetBinsEdges()

 void TKDTreeBinning::SetBinsEdges ( )
private

Definition at line 251 of file TKDTreeBinning.cxx.

## ◆ SetCommonBinEdges()

 void TKDTreeBinning::SetCommonBinEdges ( Double_t * binEdges )
private

Definition at line 279 of file TKDTreeBinning.cxx.

## ◆ SetData() [1/2]

 void TKDTreeBinning::SetData ( const std::vector< double > & data )
private

Definition at line 224 of file TKDTreeBinning.cxx.

## ◆ SetData() [2/2]

 void TKDTreeBinning::SetData ( Double_t * data )
private

Disallowed assign operator.

Definition at line 211 of file TKDTreeBinning.cxx.

## ◆ SetNBins()

 void TKDTreeBinning::SetNBins ( UInt_t bins )

Sets binning inner structure.

Definition at line 129 of file TKDTreeBinning.cxx.

## ◆ SetTreeData()

 void TKDTreeBinning::SetTreeData ( )
private

Definition at line 236 of file TKDTreeBinning.cxx.

## ◆ SortBinsByDensity()

 void TKDTreeBinning::SortBinsByDensity ( Bool_t sortAsc = kTRUE )

Sorts bins by their density.

Definition at line 159 of file TKDTreeBinning.cxx.

## ◆ SortOneDimBinEdges()

 const Double_t * TKDTreeBinning::SortOneDimBinEdges ( Bool_t sortAsc = kTRUE )

Sort the one-dimensional bin edges and retuns a pointer to them.

Definition at line 516 of file TKDTreeBinning.cxx.

## ◆ CompareAsc

 friend struct CompareAsc
friend

! Predicate for ascending sort

Definition at line 47 of file TKDTreeBinning.h.

## ◆ CompareDesc

 friend struct CompareDesc
friend

! Predicate for descending sort

Definition at line 49 of file TKDTreeBinning.h.

## ◆ fBinMaxEdges

 std::vector TKDTreeBinning::fBinMaxEdges
private

The minimum values for the bins' edges for each dimension.

Definition at line 34 of file TKDTreeBinning.h.

## ◆ fBinMinEdges

 std::vector TKDTreeBinning::fBinMinEdges
private

[fDataSize*fDim] The data from which a KDTree partition is computed for binning

Definition at line 33 of file TKDTreeBinning.h.

## ◆ fBinsContent

 std::vector TKDTreeBinning::fBinsContent
private

Flags if the bin edges are sorted densitywise (or by bin-edge for 1D) in ascending order.

Definition at line 45 of file TKDTreeBinning.h.

## ◆ fCheckedBinEdges

 std::vector > > TKDTreeBinning::fCheckedBinEdges
private

Minimum and maximum data values.

! Auxiliary structure for readjusting the bin edges. Flags if the bin edge was processed in the algorithm

Definition at line 41 of file TKDTreeBinning.h.

## ◆ fCommonBinEdges

 std::vector > > TKDTreeBinning::fCommonBinEdges
private

! Auxiliary structure for readjusting the bin edges. Keeps the common bin boundaries

Definition at line 42 of file TKDTreeBinning.h.

## ◆ fData

 std::vector TKDTreeBinning::fData
private

Definition at line 32 of file TKDTreeBinning.h.

## ◆ fDataBins

 TKDTreeID* TKDTreeBinning::fDataBins
private

Index of the bins in the kd-tree (needed when bins are sorted)

! The binning inner structure.

Definition at line 36 of file TKDTreeBinning.h.

## ◆ fDataSize

 UInt_t TKDTreeBinning::fDataSize
private

The data dimension.

Definition at line 39 of file TKDTreeBinning.h.

## ◆ fDataThresholds

 std::vector > TKDTreeBinning::fDataThresholds
private

The data size.

Definition at line 40 of file TKDTreeBinning.h.

## ◆ fDim

 UInt_t TKDTreeBinning::fDim
private

The number of bins.

Definition at line 38 of file TKDTreeBinning.h.

## ◆ fIndices

 std::vector TKDTreeBinning::fIndices
private

The maximum values for the bins' edges for each dimension.

Definition at line 35 of file TKDTreeBinning.h.

## ◆ fIsSorted

 Bool_t TKDTreeBinning::fIsSorted
private

Definition at line 43 of file TKDTreeBinning.h.

## ◆ fIsSortedAsc

 Bool_t TKDTreeBinning::fIsSortedAsc
private

Flags if the bin edges are sorted densitywise (or by bin endges in case of 1-dim )

Definition at line 44 of file TKDTreeBinning.h.

## ◆ fNBins

 UInt_t TKDTreeBinning::fNBins
private

Definition at line 37 of file TKDTreeBinning.h.

Libraries for TKDTreeBinning:
[legend]

The documentation for this class was generated from the following files: