# 3.7.5.5 Curve

LabTalk Object Type:

External Object

The curve object provides for the following math operations on a data plot:

• Smoothing
• Integration
• Derivation

It also provides for baseline operations and peak selection.

 Please see the addtool_curve_integ X-Function.

## Properties:

### Common Curve Object Properties

Property Access Description
curve.baselinePts Read/write
numeric

Number of points used in baseline creation.

curve.data$Read/write string Name of the Y column in the worksheet to perform the operations on. This property must be set before performing an operation. curve.derivDeg Read/write numeric Degree of differentiation: 0, 1, or 2. curve.i1 Read/write numeric Starting row index number of the selected range. curve.i2 Read/write numeric Ending row index number of the selected range. When i1 > 0, i2 must be specified. curve.plotName$ Read/write
string

The name of the graph containing the data to be acted on by the curve object. This property does not require setting.

curve.show Read/write
numeric

Display the integration area: 0 = do not show, 1 = show.

curve.smoothPts Read/write
numeric

Total number of points to be smoothed including point (must be odd and >= 3).

curve.x0 Read only
numeric

Value of X at i1.

curve.x1 Read only
numeric

Value of X at i2.

curve.y0 Read only
numeric

Value of Y at i1.

curve.y1 Read only
numeric

Value of Y at i2.

curve.ymax Read only
numeric

Maximum value of the active dataset with respect to the baseline.

curve.ymax0 Read only
numeric

Maximum value of the active dataset with respect to zero.

curve.ymax0i Read only
numeric

Row index number for ymax0.

curve.ymax0x Read only
numeric

Value of X corresponding to ymax0.

curve.ymaxi Read only
numeric

Row index number for ymax

curve.ymaxx Read only
numeric

Value of X corresponding to ymax.

curve.ymin Read only
numeric

Minimum value of the active dataset with respect to the baseline.

curve.ymini Read only
numeric

Row index number for ymin.

curve.yminx Read only
numeric

Value of X corresponding to ymin.

### Curve Object Properties Specific to Math Operations

Property Access Description
curve.base$Read/write string Name of the worksheet column that is used as a baseline. For integration, you must set this property. Set it to an existing dataset (curve.base$ = wks_colName;) or specify the following: (curve.base$= "";). When curve.base$ is set to "", then the curve.integrate() method integrates from y = 0.
curve.integrate.area Read/write
numeric
Integral.
curve.polyDeg Read/write
numeric
The degree of the underlying polynomial used for smoothing. Values can range from 1 to 9.
curve.res Read only
numeric
Tolerance for deviation in X axis values. This value is fixed at 5%.
curve.result$Read/write string Name of the (existing) dataset that stores the results. This property must be set before performing the math operation. curve.smoothLeftPts Read/write numeric The number of points on the right of the data point being smoothed when using curve.sgsmooth(). This property combined with curve.smoothRightPts make up the smoothing window and can not exceed 100 points. The window can be asymmetric about a particular data point - i.e., the number of points to the left of the point of interest can be different from the number to the right. curve.smoothRightPts Read/write numeric The number of points on the right of the data point being smoothed when using curve.sgsmooth(). This property combined with curve.smoothLeftPts make up the smoothing window and can not exceed 100 points. The window can be asymmetric about a particular data point - i.e., the number of points to the left of the point of interest can be different from the number to the right. curve.x$ Read/write
string
Name of the X column to use for the math operation.

### Curve Object Properties Specific to Baseline Operations and Peak Selection

Property Access Description
curve.areas$Read/write string Worksheet column used for storing areas between base points. curve.basex$ Read/write
string

Worksheet column used for storing X coordinate for the base points.

curve.basey$Read/write string Worksheet column used for storing Y coordinate for the base points. curve.centers$ Read/write
string
Worksheet column used for storing the center points.
curve.halfWidths$Read/write string Worksheet column used for storing the half-widths. curve.heights$ Read/write
string
Worksheet column used for storing the heights.
curve.integrate.area Read only
numeric
Area under a single peak.
curve.integrate.center Read only
numeric
Center point of a single peak.
curve.integrate.halfwidth Read only
numeric
Half-width for a single peak.
curve.integrate.height Read only
numeric
Height of a single peak.
curve.markerIndex$Read only string Worksheet column used for storing the selected baseline points. curve.maxPeakRange (You must also set curve.minPeakRange and curve.minHeight. Read/write numeric The value of this property is used for peak picking only if curve.pickPeaks.simple = 0. Set this property to be the percentage of the total number of points in curve.data$ that the peak must not exceed in order to be recognized as a peak.

curve.minDer Read/write
numeric
Minimum value of the first derivative below which a point is accepted.
curve.minHeight

(You must also set curve.minPeakRange and curve.maxPeakRange.)

Read/write
numeric
The value of this property is used for peak picking only if curve.pickPeaks.simple = 0.

Set this property to be the percentage of the total amplitude (difference between min and max values) of curve.data$that a peak must have, to be considered a peak. This property enables you to exclude noise when determining peaks. curve.minPeakRange (You must also set curve.maxPeakRange and curve.minHeight.) Read/write numeric The value of this property is used for peak picking only if curve.pickPeaks.simple = 0. Set this property to be the percentage of the total number of points in curve.data$ that the peak must have in order to be recognized as a peak.

curve.peakDirection$Read/write string Holds the name of the dataset that will have either a P (for positive) or an N (for negative) in the Peaks worksheet. The indexes of the peaks will be loaded in curve.peakIndex$.
curve.peakIndex$Read/write string Worksheet column used for storing the index for the peak points. curve.pickPeaks.minHeight (You must also set curve.pickPeaks.rectHeight and curve.pickPeaks.rectWidth.) Read/write numeric The value of this property is used for peak picking only if curve.pickPeaks.simple = 1. Set this property to be the percentage of the total amplitude (difference between min and max values) of curve.data$ that a peak must have, to be considered a peak. This property enables you to exclude noise when determining peaks.

curve.pickPeaks.rectHeight

(You must also set curve.pickPeaks.minHeight and curve.pickPeaks.rectWidth.)

Read/write
numeric
The value of this property is used for peak picking only if curve.pickPeaks.simple = 1. When
curve.pickPeaks.simple = 1, the curve.pickPeaks() method uses a search rectangle for peak picking. Curve.pickPeaks.rectHeight determines the height of the search rectangle.
Set this property to be the percentage of the difference between the maximum and minimum values in curve.data$. curve.pickPeaks.rectWidth (You must also set curve.pickPeaks.rectHeight and curve.pickPeaks.minHeight.) Read/write numeric The value of this property is used for peak picking only if curve.pickPeaks.simple = 1. When curve.pickPeaks.simple = 1, the curve.pickPeaks() method uses a search rectangle for peak picking. Curve.pickPeaks.rectWidth determines the width of the search rectangle. Set this property to be the percentage of the total range of values in curve.data$.

curve.pickPeaks.simple Read/write
numeric
Set this property to 1 if curve.data$does not have a definable baseline. If curve.data$ has a definable baseline (even if irregular), then set curve.pickPeaks.simple = 0.

## Methods:

### Curve Object Methods Specific to Math Operations

Method Description
curve.adjave() Smoothing using the adjacent averaging method. The result is stored in curve.result$. curve.deriv() Differentiate. The result is stored in curve.result$.
curve.FFTSmooth() Smoothing using the Fourier transform method. The result is stored in curve.result$. curve.integrate() Integrate. The result is stored in curve.result$.
curve.SGDeriv() Differentiate using the Savitzky-Golay method. The result is stored in curve.result$. curve.SGSmooth() Smoothing using the Savitzky-Golay method. The result is stored in curve.result$.

### Curve Object Methods Specific to Baseline Operations and Peak Selection

Method Description
curve.baseline() Find all points that make a baseline.
curve.mrkIntegrate() Get the first baseline points on either side of the peak.
curve.pickPeaks() Get all the peak points. The search method depends on property settings. See curve.pickPeaks.simple, curve.maxPeakRange, curve.minHeight, curve.minPeakRange, curve.pickPeaks.minHeight, curve.pickPeaks.rectHeight, curve.pickPeaks.rectWidth.

## Examples:

### Differentiation Using Savitzky-Golay Method

This script performs a differentiation using the Savitzky-Golay method:


//Create a new book and import the data
newbook;
string fpath$= "Samples\Signal Processing\fftfilter1.dat"; string fname$ = system.path.program$+ fpath$;
impasc;
wks.addcol();
col(c)[L]$=Results; //Assign datasets curve.data$=%H_B;
curve.result$=%H_C; curve.i1 = -1; curve.smoothpts = 5; curve.derivdeg = 1; //Perform differentiation, //fill Result column of original worksheet curve.sgderiv(); ### Peak Integration from a Baseline This script performs an integration from a baseline: //Open a new worksheet newbook; //Import sample file; string fpath$ = "Samples\Spectroscopy\Peaks with Base.DAT";
string fname$= system.path.program$ + fpath$; impasc; //Create a column for results wks.addcol(); col(D)[L]$=Results;
curve.data$= %H_B; curve.base$ = %H_C;
curve.result$= %H_D; //Perform integration, //fill results column of original worksheet curve.integrate(); //Send the total area to the script window type "Area =$(curve.integrate.area)";

Example 3
This script finds peaks in the active data plot and adds the peak XY values and row index numbers to the original worksheet:


curve.reset();  //initialize
%W = %[%C,'_']; //get name of wks for active data in layer
%W!page.xlcolname = 0; //turn off Spreadsheet Cell Notation firstly;
%W!wks.addcol(Pkindex); //add column to store index value
%W!wks.addcol(Pkx);  //add column to store x value
%W!wks.col$(%W!wks.ncols).type = 4; //set as X column %W!wks.addcol(Pky); //add column to store y value curve.data$ = %C;  //dataset to find peak values
curve.peakIndex$= %W_PkIndex; curve.pickPeaks.rectHeight = .05; curve.pickPeaks.rectWidth = .05; curve.pickPeaks.minHeight = .05; curve.pickPeaks(1); //pick peaks without a definable baseline get %W_PkIndex -e end; for (ii = 1; ii <= end; ii += 1) { %B = curve.data$;  // %B is current active dataset
index = %W_pkindex[ii]; // get peak index
%W_Pkx[ii] = xvalue(index,%B); // Set corresponding x value
%W_Pky[ii] = %B[index];  // Set corresponding y value
}
 For the Spreadsheet Cell Notation in the workbook, please see FAQ-849 for more information.

Example 4
This example use curve.smoothLeftPts and curve.smoothRightPts to set the smoothing points.

//Create a new book and import the data
newbook;
string fpath$= "Samples\Signal Processing\fftfilter1.dat"; string fname$ = system.path.program$+ fpath$;
impasc;
wks.addcol();
wks.addcol();

//smoothing points = 10
col(c)[c]$=10-point; curve.data$=%h_B;
curve.result\$=%h_c;
curve.smoothleftpts=2;
curve.smoothrightpts=3;
curve.smoothpts=curve.smoothleftpts + curve.smoothrightpts + 1;
curve.polyDeg = 2;
curve.derivdeg = 1;
curve.sgderiv();