ocmath_2d_binning
Description
Compute frequency count for 2D binning on two arrays pX and pY.
Syntax
int ocmath_2d_binning( int nSize, const double * pX, const double * pY, BinningResult * pResult, BinningOption * pOptionX = NULL, BinningOption * pOptionY = NULL )
Parameters
- nSize
- [input]size of the X and Y array
- pX
- [input]pointer to buffer of the X array data
- pY
- [input]pointer to buffer of the Y array data
- pResult
- [output]pointer to result structure
- pOptionX
- [input]pointer to the structure of BinningOption for X array. If it is NULL(default), the optional parameters are given by the function.
- pOptionY
- [input]pointer to the structure of BinningOption for Y array. If it is NULL(default), the optional parameters are given by the function.
typedef struct
{
double dMin; // the minimum of the range
double dMax; // the maximum of the range
double dInc; // the bin increment of the range
int wIncludeOutliers; // flag indicating whether or not to include outliers in first and last bins, values are defined in enum FrequncyAccounOutBin, default value is FAB_NOT_INCLUDE_OUTLIERS
double dPeriod; //period for the data
int wIncludeMinMax; // reuse flag in wIncludeOutliers, left for Min, right for Max
int nMode; // BIN_MODE_INC, BIN_MODE_VALS
double* pdVals; // Double Array for BIN_MODE_VALS, for example, fill with 3 7 12 20, min=0, max=30, then the bins should be 0-3, 3-7, 7-12, 12-20, 20-30, >=30
int nValsSize;// The size of pdVals
}BinningOption;
Return
Returns 0 on success. Otherwise returns error code:
BINNING_ERR_SIZE: nSize less than 1
BINNING_ERR_RANGE: range is invalid(dMin > dMax)
BINNING_ERR_INC: dInc <= 0 or dInc > dMax - dMin
BINNING_ERR_FLAG: wIncludeOutliers is not defined in the enum
BINNING_ERR_BUFFER_TOO_SMALL: size of pResult->pMatrix is less than needed
Examples
EX1
//This function will output the 2D Binning result into a new Matrix.
void ocmath_2d_binning_ex1()
{
//Worksheet wks = Project.ActiveLayer(); //assume current worksheet is active
Worksheet wks;
wks.Create("origin.otw");
while(wks.Columns())
wks.DeleteCol(0);
for(int n=0; n < 2; n++)
wks.AddCol();
DataRange dr;
dr.Add("X", wks, 0, 0, -1, 0);
dr.Add("Y", wks, 0, 1, -1, 1);
vector vX,vY;
vX.Data(1,30,1);
vY.Normal(30);
dr.SetData(&vY, &vX);
int nSize = vY.GetSize();
MatrixLayer mResultLayer;
mResultLayer.Create();
mResultLayer.SetInternalData(FSI_ULONG);
Matrix<uint> matResult(mResultLayer);
BinningOption OptionX, OptionY;
vX.GetMinMax(OptionX.dMin, OptionX.dMax);
RoundLimits(&OptionX.dMin, &OptionX.dMax, &OptionX.dInc);
OptionX.wIncludeOutliers = FAB_NOT_INCLUDE_OUTLIERS;
int iSizeX = ceil( (OptionX.dMax - OptionX.dMin) / OptionX.dInc ) ;
vY.GetMinMax(OptionY.dMin, OptionY.dMax);
RoundLimits(&OptionY.dMin, &OptionY.dMax, &OptionY.dInc);
OptionY.wIncludeOutliers = FAB_NOT_INCLUDE_OUTLIERS;
int iSizeY = ceil( (OptionY.dMax - OptionY.dMin) / OptionY.dInc ) ;
BinningResult Result;
matrix<uint> mResult(iSizeX, iSizeY);
Result.iMatSize = iSizeX * iSizeY;
Result.pMatrix = mResult;
int iRet = ocmath_2d_binning(nSize, vX, vY, &Result, &OptionX, &OptionY);
if(iRet)
{
printf("Error code is %d", iRet);
return;
}
matResult = mResult;
}
Remark
See Also
ocmath_2d_binning_stats
header to Include
origin.h
Reference
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