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			115 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			115 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
/************************************************************************
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 * This file has been generated automatically from                      *
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 *                                                                      *
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 * src/core/qgshistogram.h                                              *
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 *                                                                      *
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 * Do not edit manually ! Edit header and run scripts/sipify.py again   *
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 ************************************************************************/
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class QgsHistogram
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{
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%Docstring(signature="appended")
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Calculator for a numeric histogram from a list of values.
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%End
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%TypeHeaderCode
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#include "qgshistogram.h"
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%End
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  public:
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    QgsHistogram();
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    virtual ~QgsHistogram();
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    void setValues( const QList<double> &values );
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%Docstring
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Assigns numeric source values for the histogram.
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:param values: list of doubles
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%End
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    bool setValues( const QgsVectorLayer *layer, const QString &fieldOrExpression, QgsFeedback *feedback = 0 );
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%Docstring
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Assigns numeric source values for the histogram from a vector layer's field or as the
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result of an expression.
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:param layer: vector layer
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:param fieldOrExpression: field name or expression to be evaluated
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:param feedback: optional feedback object to allow cancellation of calculation
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:return: ``True`` if values were successfully set
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%End
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    double optimalBinWidth() const;
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%Docstring
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Calculates the optimal bin width using the Freedman-Diaconis rule. Bins widths are
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determined by the inter-quartile range of values and the number of values.
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:return: optimal width for bins
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.. seealso:: :py:func:`optimalNumberBins`
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.. note::
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   values must first be specified using :py:func:`~QgsHistogram.setValues`
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%End
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    int optimalNumberBins() const;
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%Docstring
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Returns the optimal number of bins for the source values, calculated using the
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Freedman-Diaconis rule. The number of bins are determined by the inter-quartile range
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of values and the number of values.
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:return: optimal number of bins
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.. seealso:: :py:func:`optimalBinWidth`
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.. note::
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   values must first be specified using :py:func:`~QgsHistogram.setValues`
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%End
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    QList<double> binEdges( int bins ) const;
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%Docstring
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Returns a list of edges for the histogram for a specified number of bins. This list
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will be length bins + 1, as both the first and last value are also included.
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:param bins: number of bins
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:return: list of bin edges
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.. note::
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   values must first be specified using :py:func:`~QgsHistogram.setValues`
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%End
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    QList<int> counts( int bins ) const;
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%Docstring
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Returns the calculated list of the counts for the histogram bins.
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:param bins: number of histogram bins
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:return: list of histogram counts
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.. note::
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   values must first be specified using :py:func:`~QgsHistogram.setValues`
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%End
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};
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/************************************************************************
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 * This file has been generated automatically from                      *
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 *                                                                      *
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 * src/core/qgshistogram.h                                              *
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 *                                                                      *
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 * Do not edit manually ! Edit header and run scripts/sipify.py again   *
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 ************************************************************************/
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