#include <Data.h>

Inheritance diagram for cbl::data::Data:

[legend]

Public Member Functions
Non-virtual member functions
double	correlation (const int i, const int j) const
	get the value of the data correlation at index i,j More...

std::vector< std::vector< double > >	correlation () const
	get the value of the data correlation at index i,j More...

double	inverse_covariance (const int i, const int j) const
	get the value of data inverse_covariance at index i,j More...

std::vector< std::vector< double > >	inverse_covariance () const
	get the m_inverse_covariance std::vector More...

void	reset (const int ndata)
	reset data object with new empty arrays large enough to store ndata data More...

virtual void	invert_covariance (const double prec, const int Nres)
	invert the covariance matrix More...

Member functions to get the private/protected members
virtual double	xx (const int i) const
	get value of x at index i More...

virtual std::vector< double >	xx () const
	get the x std::vector More...

virtual double	xx (const int i, const int j) const
	get value of x at position i,j, for Data1D_collection More...

virtual double	yy (const int i) const
	get value of y at index i, for Data2D More...

virtual std::vector< double >	yy () const
	get the y std::vector More...

virtual std::vector< std::vector< double > >	IndipendentVariable (const int i=-1, const int j=-1) const
	get the independet variable, to be used in model computation More...

virtual double	data (const int i, const int j) const
	get data at index i,j for Data1D_collection, Data2D More...

virtual void	get_data (std::vector< double > &data) const
	get data for Data1D More...

virtual DataType	dataType () const
	get the data type More...

virtual int	ndata () const
	the total number of data More...

virtual double	data (const int i) const
	get data at index i More...

virtual std::vector< double >	data () const
	get data More...

virtual double	error (const int i) const
	get value of data standard deviation at index i More...

virtual std::vector< double >	error () const
	get standard deviation More...

virtual double	covariance (const int i, const int j) const
	get the value of the data covariance at index i,j More...

virtual std::vector< std::vector< double > >	covariance () const
	get the m_covariance vector More...

virtual double	edges_xx (const int i) const
	get value of x variable bin edge at index i More...

virtual std::vector< double >	edges_xx () const
	get x variable bin edges More...

virtual double	edges_yy (const int i) const
	get value of y variable bin edge at index i More...

virtual std::vector< double >	edges_yy () const
	get y variable bin edges More...

virtual void	get_data (std::vector< std::vector< double >> &data) const
	get data for Data1D_collection, Data2D More...

virtual double	error (const int i, const int j) const
	get value of f(x) error at index i,j for Data1D_collection, Data2D More...

virtual void	get_error (std::vector< double > &error) const
	get standard deviation for Data1D More...

virtual void	get_error (std::vector< std::vector< double >> &error) const
	get standard deviation for Data1D_Collection, Data2D More...

virtual double	extra_info (const int i, const int j) const
	return the value of the extra information at index i,j More...

virtual std::vector< std::vector< double > >	extra_info () const
	return the m_exta_info std::vector More...

Member functions to set the private/protected members
virtual void	set_xx (const std::vector< double > x)
	set interval variable m_x More...

virtual void	set_yy (const std::vector< double > y)
	set interval variable m_y, for Data2D More...

virtual void	set_xx (const int i, const std::vector< double > x)
	set interval variable m_x in the i-th dataset, for Data1D_collection More...

virtual void	set_xx (const std::vector< std::vector< double >> x)
	set interval variable m_x, for Data1D_collection More...

virtual void	set_edges_xx (const std::vector< double > edges)
	set interval variable m_edges_xx More...

virtual void	set_edges_yy (const std::vector< double > edges)
	set interval variable m_edges_yy More...

virtual void	set_data (const std::vector< std::vector< double >> data)
	set interval variable m_data, for Data1D_collection, Data2D More...

virtual void	set_extra_info (const std::vector< std::vector< double >> extra_info)
	set interval variable m_error_fx More...

void	set_data (const std::vector< double > data)
	set interval variable data More...

void	set_error (const std::vector< double > error)
	set interval variable m_error_fx More...

void	set_error (const std::vector< std::vector< double >> covariance)
	set interval variable m_error_fx More...

void	set_covariance (const std::string filename, const int cov_col=2, const int skipped_lines=0)
	set the interval variable m_covariance, reading from an input file More...

void	set_covariance (const double value, const int i, const int j)
	set interval the variable m_covariance More...

void	set_covariance (const std::vector< std::vector< double >> covariance)
	set interval the variable m_covariance More...

void	set_covariance (const std::vector< double > error)
	set interval the variable m_covariance More...

Member functions to compute data properties
virtual int	ndata (const int i) const
	function that returns number of data for one dataset, for Data1D_collection More...

virtual int	ndataset () const
	function that returns total number of datasets More...

virtual int	xsize () const
	get the number of points along x More...

virtual int	xsize (const int i) const
	get the number of points along x More...

virtual int	ysize () const
	get the number of points along y More...

Member functions for Input/Output
virtual void	read (const std::string input_file, const int skip_nlines=0, const std::vector< int > column={0}, const std::vector< int > column_data={}, const std::vector< int > column_errors={}, const std::vector< int > column_edges={})
	read the data from one input file More...

virtual void	read (const std::vector< std::string > input_file, const int skip_nlines=0, const std::vector< int > column={0}, const std::vector< int > column_data={}, const std::vector< int > column_errors={}, const std::vector< int > column_edges={})
	read the data from a set of input files More...

virtual void	Print (const int prec=4) const
	print the data on screen More...

virtual void	write (const std::string dir, const std::string file, const std::string header, const int prec=4, const int ww=8, const int rank=0) const
	write the data More...

virtual void	write (const std::string dir, const std::string file, const std::string header, const bool full, const int prec=10, const int ww=8, const int rank=0) const
	write the data More...

virtual void	write (const std::string dir, const std::vector< std::string > files, const std::string header, const int prec=10, const int ww=8, const int rank=0) const
	write the data More...

virtual void	write_covariance (const std::string dir, const std::string file, const int precision=10) const
	write the interval variable m_covariance on a file, More...

Member functions for data cut
void	cut (const std::vector< bool > mask, std::vector< double > &data, std::vector< double > &error, std::vector< std::vector< double >> &covariance_matrix) const
	cut the dataset using a mask More...

virtual std::shared_ptr< Data >	cut (const std::vector< bool > mask) const
	cut the data, for Data1D More...

virtual std::shared_ptr< Data >	cut (const double xmin, const double xmax) const
	cut the data, for Data1D More...

virtual std::shared_ptr< Data >	cut (const double xmin, const double xmax, const double ymin, const double ymax) const
	cut the data, for Data2D More...

virtual std::shared_ptr< Data >	cut (const int dataset, const double xmin, const double xmax) const
	cut the data, for Data1D_collection More...

virtual std::shared_ptr< Data >	cut (const std::vector< double > xmin, const std::vector< double > xmax) const
	cut the data, for Data1D_collection type More...

Protected Member Functions
void	set_dataType (const DataType dataType)
	set the data type More...

Protected Attributes
DataType	m_dataType
	type of data

int	m_ndata
	number of data

std::vector< double >	m_data
	data values

std::vector< double >	m_error
	standard deviations

std::vector< double >	m_edges_xx
	bin edges for the x variable

std::vector< double >	m_edges_yy
	bin edges for the y variable

std::vector< std::vector< double > >	m_covariance
	covariance matrix

std::vector< std::vector< double > >	m_inverse_covariance
	inverse covariance matrix

Constructors/destructors
	Data ()=default
	default constructor

	Data (const DataType dataType)
	constructor which sets only the data type More...

	Data (const DataType dataType, const int ndata)
	constructor which sets both the data type and the number of data More...

	Data (const DataType dataType, const std::vector< double > data)
	constructor which gets the data from an input vector More...

	Data (const DataType dataType, const std::vector< double > data, const std::vector< double > error)
	constructor which gets both the data and the errors from input vectors More...

	Data (const DataType dataType, const std::vector< double > data, const std::vector< std::vector< double >> covariance)
	constructor which gets both the data and the covariance matrix from input vectors More...

virtual	~Data ()=default
	default destructor

virtual std::shared_ptr< Data >	as_factory ()
	static factory used to construct objects of class Data1D More...

static std::shared_ptr< Data >	Create (const DataType dataType)
	static factory used to construct objects of class Data1D More...

Detailed Description

The class Data.

"Headers/Data.h"

This is the base class used to manage 1D-2D data

Definition at line 88 of file Data.h.

Constructor & Destructor Documentation

◆ Data() [1/5]

cbl::data::Data::Data ( const DataType dataType )

inline

constructor which sets only the data type

Parameters

dataType the data type

Definition at line 144 of file Data.h.

◆ Data() [2/5]

cbl::data::Data::Data	(	const DataType	dataType,
		const int	ndata
	)

inline

constructor which sets both the data type and the number of data

Parameters

dataType	the data type
ndata	the number of data

Definition at line 156 of file Data.h.

◆ Data() [3/5]

cbl::data::Data::Data	(	const DataType	dataType,
		const std::vector< double >	data
	)

constructor which gets the data from an input vector

Parameters

dataType	the data type
data	vector containing the data

Definition at line 79 of file Data.cpp.

◆ Data() [4/5]

cbl::data::Data::Data	(	const DataType	dataType,
		const std::vector< double >	data,
		const std::vector< double >	error
	)

constructor which gets both the data and the errors from input vectors

Parameters

dataType	the data type
data	vector containing the data
error	vector containing the errors

Definition at line 91 of file Data.cpp.

◆ Data() [5/5]

cbl::data::Data::Data	(	const DataType	dataType,
		const std::vector< double >	data,
		const std::vector< std::vector< double >>	covariance
	)

constructor which gets both the data and the covariance matrix from input vectors

Parameters

dataType	the data type
data	vector containing the data
covariance	matrix containing the covariance

Definition at line 105 of file Data.cpp.

Member Function Documentation

◆ as_factory()

virtual std::shared_ptr<Data> cbl::data::Data::as_factory ( )

inlinevirtual

static factory used to construct objects of class Data1D

Returns: a shared pointer to an object of class Data

Reimplemented in cbl::data::Data2D_extra, cbl::data::Data2D, cbl::data::Data1D_extra, cbl::data::Data1D_collection, and cbl::data::Data1D.

Definition at line 217 of file Data.h.

◆ correlation() [1/2]

std::vector< std::vector< double > > cbl::data::Data::correlation ( ) const

get the value of the data correlation at index i,j

Returns: the value of the correlation \( Corr_{i,j} = \frac{Cov_{i,j}}{\sqrt{Cov_{i,i} \cdot Cov{j,j}}} \)

Definition at line 119 of file Data.cpp.

◆ correlation() [2/2]

double cbl::data::Data::correlation	(	const int	i,
		const int	j
	)		const

inline

get the value of the data correlation at index i,j

Parameters

i	index
j	index

Returns: the value of the correlation \( Corr_{i,j} = \frac{Cov_{i,j}}{\sqrt{Cov_{i,i} \cdot Cov{j,j}}} \)

Definition at line 235 of file Data.h.

◆ covariance() [1/2]

virtual std::vector<std::vector<double> > cbl::data::Data::covariance ( ) const

inlinevirtual

get the m_covariance vector

Returns: the vector containing the covariance matrix

Definition at line 403 of file Data.h.

◆ covariance() [2/2]

virtual double cbl::data::Data::covariance	(	const int	i,
		const int	j
	)		const

inlinevirtual

get the value of the data covariance at index i,j

Parameters

i	index
j	index

Returns: the value of the m_covariance matrix at position i,j

Definition at line 397 of file Data.h.

◆ Create()

shared_ptr< Data > cbl::data::Data::Create ( const DataType dataType )

static

static factory used to construct objects of class Data1D

Parameters

dataType the data type

Returns: a shared pointer to an object of class Data

Definition at line 50 of file Data.cpp.

◆ cut() [1/6]

virtual std::shared_ptr<Data> cbl::data::Data::cut	(	const double	xmin,
		const double	xmax
	)		const

inlinevirtual

cut the data, for Data1D

Parameters

xmin	minumum value for the independet variable x
xmax	maximum value for the independent variable x

Returns: pointer to an object of type Data1D

Reimplemented in cbl::data::Data1D_extra, and cbl::data::Data1D.

Definition at line 821 of file Data.h.

◆ cut() [2/6]

virtual std::shared_ptr<Data> cbl::data::Data::cut	(	const double	xmin,
		const double	xmax,
		const double	ymin,
		const double	ymax
	)		const

inlinevirtual

cut the data, for Data2D

Parameters

xmin	minumum value for the independent variable x
xmax	maximum value for the independent variable x
ymin	minumum value for the independent variable y
ymax	maximum value for the independent variable y

Returns: pointer to an object of type Data2D

Reimplemented in cbl::data::Data2D_extra, and cbl::data::Data2D.

Definition at line 832 of file Data.h.

◆ cut() [3/6]

virtual std::shared_ptr<Data> cbl::data::Data::cut	(	const int	dataset,
		const double	xmin,
		const double	xmax
	)		const

inlinevirtual

cut the data, for Data1D_collection

Parameters

dataset	the dataset index
xmin	minumum value for the independet variable x
xmax	maximum value for the independent variable x

Returns: pointer to an object of type Data1D

Reimplemented in cbl::data::Data1D_collection.

Definition at line 842 of file Data.h.

◆ cut() [4/6]

virtual std::shared_ptr<Data> cbl::data::Data::cut ( const std::vector< bool > mask ) const

inlinevirtual

cut the data, for Data1D

Parameters

[in] mask std::vector containing values to be masked

Returns: pointer to an object of type Data1D

Reimplemented in cbl::data::Data1D_extra, and cbl::data::Data1D.

Definition at line 812 of file Data.h.

◆ cut() [5/6]

void cbl::data::Data::cut	(	const std::vector< bool >	mask,
		std::vector< double > &	data,
		std::vector< double > &	error,
		std::vector< std::vector< double >> &	covariance_matrix
	)		const

cut the dataset using a mask

Parameters

[in]	mask	std::vector containing values to be masked
[out]	data	std::vector containing data
[out]	error	std::vector containing data standard deviations
[out]	covariance_matrix	std::vector containing data covariance matrix

Definition at line 222 of file Data.cpp.

◆ cut() [6/6]

virtual std::shared_ptr<Data> cbl::data::Data::cut	(	const std::vector< double >	xmin,
		const std::vector< double >	xmax
	)		const

inlinevirtual

cut the data, for Data1D_collection type

Parameters

xmin	std::vector containing minumum values for the independet variable x
xmax	std::vector containing maximum values for the independent variable x

Returns: pointer to an object of type Data1D_collection

Reimplemented in cbl::data::Data1D_collection.

Definition at line 851 of file Data.h.

◆ data() [1/3]

virtual std::vector<double> cbl::data::Data::data ( ) const

inlinevirtual

get data

Returns: the dataset

Definition at line 376 of file Data.h.

◆ data() [2/3]

virtual double cbl::data::Data::data ( const int i ) const

inlinevirtual

get data at index i

Parameters

i index

Returns: the value of the data vector at position i

Definition at line 370 of file Data.h.

◆ data() [3/3]

virtual double cbl::data::Data::data	(	const int	i,
		const int	j
	)		const

inlinevirtual

get data at index i,j for Data1D_collection, Data2D

Parameters

i	index
j	index

Returns: the value of the m_data std::vector at position i,j

Reimplemented in cbl::data::Data2D, and cbl::data::Data1D_collection.

Definition at line 342 of file Data.h.

◆ dataType()

virtual DataType cbl::data::Data::dataType ( ) const

inlinevirtual

get the data type

Returns: the data type

Definition at line 356 of file Data.h.

◆ edges_xx() [1/2]

virtual std::vector<double> cbl::data::Data::edges_xx ( ) const

inlinevirtual

get x variable bin edges

Returns: the x variable bin edges

Definition at line 416 of file Data.h.

◆ edges_xx() [2/2]

virtual double cbl::data::Data::edges_xx ( const int i ) const

inlinevirtual

get value of x variable bin edge at index i

Parameters

i index

Returns: the value of the x variable bin edge vector at position i

Definition at line 410 of file Data.h.

◆ edges_yy() [1/2]

virtual std::vector<double> cbl::data::Data::edges_yy ( ) const

inlinevirtual

get y variable bin edges

Returns: the y variable bin edges

Definition at line 429 of file Data.h.

◆ edges_yy() [2/2]

virtual double cbl::data::Data::edges_yy ( const int i ) const

inlinevirtual

get value of y variable bin edge at index i

Parameters

i index

Returns: the value of the y variable bin edge vector at position i

Definition at line 423 of file Data.h.

◆ error() [1/3]

virtual std::vector<double> cbl::data::Data::error ( ) const

inlinevirtual

get standard deviation

Returns: the standard deviation

Definition at line 389 of file Data.h.

◆ error() [2/3]

virtual double cbl::data::Data::error ( const int i ) const

inlinevirtual

get value of data standard deviation at index i

Parameters

i index

Returns: the value of the error vector at position i

Definition at line 383 of file Data.h.

◆ error() [3/3]

virtual double cbl::data::Data::error	(	const int	i,
		const int	j
	)		const

inlinevirtual

get value of f(x) error at index i,j for Data1D_collection, Data2D

Parameters

i	index
j	index

Returns: the value of the m_error std::vector at position i,j

Reimplemented in cbl::data::Data2D, and cbl::data::Data1D_collection.

Definition at line 444 of file Data.h.

◆ extra_info() [1/2]

virtual std::vector<std::vector<double> > cbl::data::Data::extra_info ( ) const

inlinevirtual

return the m_exta_info std::vector

Returns: std::vector containing std::vectors with extra information

Reimplemented in cbl::data::Data1D_extra, and cbl::data::Data2D_extra.

Definition at line 476 of file Data.h.

◆ extra_info() [2/2]

virtual double cbl::data::Data::extra_info	(	const int	i,
		const int	j
	)		const

inlinevirtual

return the value of the extra information at index i,j

Parameters

i	index
j	index

Returns: the value of the extra_info at position i,j

Reimplemented in cbl::data::Data1D_extra, and cbl::data::Data2D_extra.

Definition at line 469 of file Data.h.

◆ get_data() [1/2]

virtual void cbl::data::Data::get_data ( std::vector< double > & data ) const

inlinevirtual

get data for Data1D

Parameters

[out] data std::vector containing the dataset

Reimplemented in cbl::data::Data1D.

Definition at line 349 of file Data.h.

◆ get_data() [2/2]

virtual void cbl::data::Data::get_data ( std::vector< std::vector< double >> & data ) const

inlinevirtual

get data for Data1D_collection, Data2D

Parameters

[out] data std::vector containing the dataset

Reimplemented in cbl::data::Data2D.

Definition at line 435 of file Data.h.

◆ get_error() [1/2]

virtual void cbl::data::Data::get_error ( std::vector< double > & error ) const

inlinevirtual

get standard deviation for Data1D

Parameters

[out] error std::vector containing the staandard deviation

Reimplemented in cbl::data::Data1D.

Definition at line 453 of file Data.h.

◆ get_error() [2/2]

virtual void cbl::data::Data::get_error ( std::vector< std::vector< double >> & error ) const

inlinevirtual

get standard deviation for Data1D_Collection, Data2D

Parameters

[out] error std::vector containing the staandard deviation

Reimplemented in cbl::data::Data2D.

Definition at line 460 of file Data.h.

◆ IndipendentVariable()

virtual std::vector<std::vector<double> > cbl::data::Data::IndipendentVariable	(	const int	i = `-1`,
		const int	j = `-1`
	)		const

inlinevirtual

get the independet variable, to be used in model computation

Parameters

i	first indipendent variable index
j	second indipendent variable index

Returns: the independent variable

Reimplemented in cbl::data::Data2D, cbl::data::Data1D, cbl::data::Data2D_extra, cbl::data::Data1D_extra, and cbl::data::Data1D_collection.

Definition at line 333 of file Data.h.

◆ inverse_covariance() [1/2]

std::vector<std::vector<double> > cbl::data::Data::inverse_covariance ( ) const

inline

get the m_inverse_covariance std::vector

Returns: the std::vector containing the inverse convariance matrix

Definition at line 256 of file Data.h.

◆ inverse_covariance() [2/2]

double cbl::data::Data::inverse_covariance	(	const int	i,
		const int	j
	)		const

inline

get the value of data inverse_covariance at index i,j

Parameters

i	index
j	index

Returns: the value of the m_inverse_covariance matrix at position i,j

Definition at line 250 of file Data.h.

◆ invert_covariance()

virtual void cbl::data::Data::invert_covariance	(	const double	prec,
		const int	Nres
	)

inlinevirtual

invert the covariance matrix

Parameters

prec	the precision required in the inversion of the covariance matrix
Nres	\(N_{res}\), the number of catalogue resamplings used to estimate the covariance matrix; \(N_{res}=-1\) if the covariance matrix has not been estimated with resampling methods

Definition at line 277 of file Data.h.

◆ ndata() [1/2]

virtual int cbl::data::Data::ndata ( ) const

inlinevirtual

the total number of data

Returns: total data number

Definition at line 363 of file Data.h.

◆ ndata() [2/2]

virtual int cbl::data::Data::ndata ( const int i ) const

inlinevirtual

function that returns number of data for one dataset, for Data1D_collection

Parameters

i	index to the i-th dataset

Returns: total number of data

Definition at line 612 of file Data.h.

◆ ndataset()

virtual int cbl::data::Data::ndataset ( ) const

inlinevirtual

function that returns total number of datasets

Returns: total number of dataset

Reimplemented in cbl::data::Data1D_collection.

Definition at line 619 of file Data.h.

◆ Print()

virtual void cbl::data::Data::Print ( const int prec = 4 ) const

inlinevirtual

print the data on screen

Parameters

prec	the float precision

Reimplemented in cbl::data::Data2D_extra, cbl::data::Data2D, cbl::data::Data1D_extra, cbl::data::Data1D_collection, and cbl::data::Data1D.

Definition at line 735 of file Data.h.

◆ read() [1/2]

virtual void cbl::data::Data::read	(	const std::string	input_file,
		const int	skip_nlines = `0`,
		const std::vector< int >	column = `{0}`,
		const std::vector< int >	column_data = `{}`,
		const std::vector< int >	column_errors = `{}`,
		const std::vector< int >	column_edges = `{}`
	)

inlinevirtual

read the data from one input file

Parameters

input_file	the input data file
skip_nlines	the header lines to be skipped
column	vector containing the column(s) of x (and y) values in the input file; if it is not provided, the first column will be used by default
column_data	the column of data values in the input file; the size of column_data is the number of data to be read (e.g. the size should be 3 in the case of the 3 multipole moments of the two-point correlation function); if the size of column_data is larger than 1, more than 1 data vectors are read and then added one after the other in a single data object; if column_data is not provided, the first column after the column of x values will be used by default, assuming that only 1 data vector has to be read
column_errors	the column of error values in the input file; the size of column_error must be equal to the size of column_data; if the size of column_error is larger than 1, more than 1 error vectors are read and then added one after the other in a single data object; if column_random is not provided, the second column after the column of x values will be used by default, assuming that only 1 random vector has to be read; if the input file has only 2 columns, the errors will be set to 1
column_edges	vector containing the columns of x (and y) bin edge values in the input file; if it is not provided, the third and four columns after the column of x values will be used; if these columns do no exist the edges are not read

Reimplemented in cbl::data::Data1D_extra, cbl::data::Data1D_collection, cbl::data::Data1D, cbl::data::Data2D_extra, and cbl::data::Data2D.

Definition at line 688 of file Data.h.

◆ read() [2/2]

virtual void cbl::data::Data::read	(	const std::vector< std::string >	input_file,
		const int	skip_nlines = `0`,
		const std::vector< int >	column = `{0}`,
		const std::vector< int >	column_data = `{}`,
		const std::vector< int >	column_errors = `{}`,
		const std::vector< int >	column_edges = `{}`
	)

inlinevirtual

read the data from a set of input files

Parameters

input_file	vector containing the input data files
skip_nlines	the header lines to be skipped
column	vector containing the column(s) of x (and y) values in the input file; if it is not provided, the first column will be used by default
column_data	the column of data values in the input file; the size of column_data is the number of data to be read (e.g. the size should be 3 in the case of the 3 multipole moments of the two-point correlation function); if the size of column_data is larger than 1, more than 1 data vectors are read and then added one after the other in a single data object; if column_data is not provided, the first column after the column of x values will be used by default, assuming that only 1 data vector has to be read
column_errors	the column of error values in the input file; the size of column_error must be equal to the size of column_data; if the size of column_error is larger than 1, more than 1 error vectors are read and then added one after the other in a single data object; if column_random is not provided, the second column after the column of x values will be used by default, assuming that only 1 random vector has to be read; if the input file has only 2 columns, the errors will be set to 1
column_edges	vector containing the columns of x (and y) bin edge values in the input file; if it is not provided, the third and four columns after the column of x values will be used; if these columns do no exist the edges are not read

Reimplemented in cbl::data::Data1D_collection.

Definition at line 727 of file Data.h.

◆ reset()

void cbl::data::Data::reset ( const int ndata )

reset data object with new empty arrays large enough to store ndata data

Parameters

ndata the new number of data

Definition at line 66 of file Data.cpp.

◆ set_covariance() [1/4]

void cbl::data::Data::set_covariance	(	const double	value,
		const int	i,
		const int	j
	)

inline

set interval the variable m_covariance

Parameters

value	covariance matrix value
i	the first index
j	the second index

Definition at line 585 of file Data.h.

◆ set_covariance() [2/4]

void cbl::data::Data::set_covariance	(	const std::string	filename,
		const int	cov_col = `2`,
		const int	skipped_lines = `0`
	)

set the interval variable m_covariance, reading from an input file

Parameters

filename	file containing the covariance matrix in the format: column 0 \( \rightarrow \) x_i, column 1 \( \rightarrow \) x_j, column cov_col → cov(x_i,x_j)
cov_col	covariance matrix column, starting from 0
skipped_lines	comment lines to be skipped

Definition at line 191 of file Data.cpp.

◆ set_covariance() [3/4]

void cbl::data::Data::set_covariance ( const std::vector< double > error )

set interval the variable m_covariance

Parameters

error std::vector containing the data standard deviation

Definition at line 167 of file Data.cpp.

◆ set_covariance() [4/4]

void cbl::data::Data::set_covariance ( const std::vector< std::vector< double >> covariance )

set interval the variable m_covariance

Parameters

covariance std::vector containing the covariance matrix

Definition at line 179 of file Data.cpp.

◆ set_data() [1/2]

void cbl::data::Data::set_data ( const std::vector< double > data )

set interval variable data

Parameters

data	std::vector containing data points

Definition at line 134 of file Data.cpp.

◆ set_data() [2/2]

virtual void cbl::data::Data::set_data ( const std::vector< std::vector< double >> data )

inlinevirtual

set interval variable m_data, for Data1D_collection, Data2D

Parameters

data	std::vector containing data points

Definition at line 535 of file Data.h.

◆ set_dataType()

void cbl::data::Data::set_dataType ( const DataType dataType )

inlineprotected

set the data type

Parameters

dataType the data type

Definition at line 121 of file Data.h.

◆ set_edges_xx()

virtual void cbl::data::Data::set_edges_xx ( const std::vector< double > edges )

inlinevirtual

set interval variable m_edges_xx

Parameters

edges std::vector containing the x bin edges

Reimplemented in cbl::data::Data2D, and cbl::data::Data1D.

Definition at line 520 of file Data.h.

◆ set_edges_yy()

virtual void cbl::data::Data::set_edges_yy ( const std::vector< double > edges )

inlinevirtual

set interval variable m_edges_yy

Parameters

edges std::vector containing the y bin edges

Reimplemented in cbl::data::Data2D.

Definition at line 527 of file Data.h.

◆ set_error() [1/2]

void cbl::data::Data::set_error ( const std::vector< double > error )

set interval variable m_error_fx

Parameters

error std::vector containing data standard deviation

Definition at line 144 of file Data.cpp.

◆ set_error() [2/2]

void cbl::data::Data::set_error ( const std::vector< std::vector< double >> covariance )

set interval variable m_error_fx

Parameters

covariance std::vector containing the covariance matrix

Definition at line 154 of file Data.cpp.

◆ set_extra_info()

virtual void cbl::data::Data::set_extra_info ( const std::vector< std::vector< double >> extra_info )

inlinevirtual

set interval variable m_error_fx

Parameters

extra_info std::vector containing std::vectors with extra information

Reimplemented in cbl::data::Data1D_extra, and cbl::data::Data2D_extra.

Definition at line 543 of file Data.h.

◆ set_xx() [1/3]

virtual void cbl::data::Data::set_xx	(	const int	i,
		const std::vector< double >	x
	)

inlinevirtual

set interval variable m_x in the i-th dataset, for Data1D_collection

Parameters

i	index to the i-th dataset
x	std::vector containing x points

Reimplemented in cbl::data::Data1D_collection.

Definition at line 506 of file Data.h.

◆ set_xx() [2/3]

virtual void cbl::data::Data::set_xx ( const std::vector< double > x )

inlinevirtual

set interval variable m_x

Parameters

x	std::vector containing x points

Reimplemented in cbl::data::Data2D, and cbl::data::Data1D.

Definition at line 490 of file Data.h.

◆ set_xx() [3/3]

virtual void cbl::data::Data::set_xx ( const std::vector< std::vector< double >> x )

inlinevirtual

set interval variable m_x, for Data1D_collection

Parameters

x	std::vector containing x points

Definition at line 513 of file Data.h.

◆ set_yy()

virtual void cbl::data::Data::set_yy ( const std::vector< double > y )

inlinevirtual

set interval variable m_y, for Data2D

Parameters

y	std::vector containing y points

Reimplemented in cbl::data::Data2D.

Definition at line 497 of file Data.h.

◆ write() [1/3]

virtual void cbl::data::Data::write	(	const std::string	dir,
		const std::string	file,
		const std::string	header,
		const bool	full,
		const int	prec = `10`,
		const int	ww = `8`,
		const int	rank = `0`
	)		const

inlinevirtual

write the data

Parameters

dir	output directory
file	output file
header	text with the variable names to be written at the first line of the output file
full	false → simply store the data; true → duplicate the data in the other three quadrands (usefull e.g. when storing the 2D correlation function)
prec	the float precision
ww	number of characters to be used as field width
rank	cpu index (for MPI usage)

Reimplemented in cbl::data::Data2D_extra, and cbl::data::Data2D.

Definition at line 764 of file Data.h.

◆ write() [2/3]

virtual void cbl::data::Data::write	(	const std::string	dir,
		const std::string	file,
		const std::string	header,
		const int	prec = `4`,
		const int	ww = `8`,
		const int	rank = `0`
	)		const

inlinevirtual

write the data

Parameters

dir	output directory
file	output file
header	text with the variable names to be written at the first line of the output file
prec	the float precision
ww	number of characters to be used as field width
rank	cpu index (for MPI usage)

Reimplemented in cbl::data::Data1D_extra, cbl::data::Data1D_collection, and cbl::data::Data1D.

Definition at line 748 of file Data.h.

◆ write() [3/3]

virtual void cbl::data::Data::write	(	const std::string	dir,
		const std::vector< std::string >	files,
		const std::string	header,
		const int	prec = `10`,
		const int	ww = `8`,
		const int	rank = `0`
	)		const

inlinevirtual

write the data

Parameters

dir	output directory
files	output file
header	text with the variable names to be written at the first line of the output file
prec	the float precision
ww	number of characters to be used as field width
rank	cpu index (for MPI usage)

Reimplemented in cbl::data::Data1D_collection.

Definition at line 777 of file Data.h.

◆ write_covariance()

virtual void cbl::data::Data::write_covariance	(	const std::string	dir,
		const std::string	file,
		const int	precision = `10`
	)		const

inlinevirtual

write the interval variable m_covariance on a file,

Parameters

dir	the output directory
file	the output file
precision	the float precision

Reimplemented in cbl::data::Data2D, cbl::data::Data1D_collection, and cbl::data::Data1D.

Definition at line 786 of file Data.h.

◆ xsize() [1/2]

virtual int cbl::data::Data::xsize ( ) const

inlinevirtual

get the number of points along x

Returns: the number of points along x

Reimplemented in cbl::data::Data2D, and cbl::data::Data1D.

Definition at line 626 of file Data.h.

◆ xsize() [2/2]

virtual int cbl::data::Data::xsize ( const int i ) const

inlinevirtual

get the number of points along x

Parameters

i	index to the i-th dataset

Returns: the number of points along x

Reimplemented in cbl::data::Data1D_collection.

Definition at line 634 of file Data.h.

◆ xx() [1/3]

virtual std::vector<double> cbl::data::Data::xx ( ) const

inlinevirtual

get the x std::vector

Returns: the x std::vector

Reimplemented in cbl::data::Data2D, and cbl::data::Data1D.

Definition at line 299 of file Data.h.

◆ xx() [2/3]

virtual double cbl::data::Data::xx ( const int i ) const

inlinevirtual

get value of x at index i

Parameters

i index

Returns: the value of the m_x std::vector at position i

Reimplemented in cbl::data::Data2D, and cbl::data::Data1D.

Definition at line 292 of file Data.h.

◆ xx() [3/3]

virtual double cbl::data::Data::xx	(	const int	i,
		const int	j
	)		const

inlinevirtual

get value of x at position i,j, for Data1D_collection

Parameters

i	index
j	index

Returns: the value of the m_x std::vector at position i,j

Reimplemented in cbl::data::Data1D_collection.

Definition at line 308 of file Data.h.

◆ ysize()

virtual int cbl::data::Data::ysize ( ) const

inlinevirtual

get the number of points along y

Returns: the number of points along y

Reimplemented in cbl::data::Data2D.

Definition at line 641 of file Data.h.

◆ yy() [1/2]

virtual std::vector<double> cbl::data::Data::yy ( ) const

inlinevirtual

get the y std::vector

Returns: the y std::vector

Reimplemented in cbl::data::Data2D.

Definition at line 323 of file Data.h.

◆ yy() [2/2]

virtual double cbl::data::Data::yy ( const int i ) const

inlinevirtual

get value of y at index i, for Data2D

Parameters

i index

Returns: the value of the m_y std::vector at position i

Reimplemented in cbl::data::Data2D.

Definition at line 316 of file Data.h.

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

Headers/Data.h
Data/Data.cpp

Public Member Functions

Protected Member Functions

Protected Attributes

Constructors/destructors

Detailed Description

Constructor & Destructor Documentation

◆ Data() [1/5]

◆ Data() [2/5]

◆ Data() [3/5]

◆ Data() [4/5]

◆ Data() [5/5]

Member Function Documentation

◆ as_factory()

◆ correlation() [1/2]

◆ correlation() [2/2]

◆ covariance() [1/2]

◆ covariance() [2/2]

◆ Create()

◆ cut() [1/6]

◆ cut() [2/6]

◆ cut() [3/6]

◆ cut() [4/6]

◆ cut() [5/6]

◆ cut() [6/6]

◆ data() [1/3]

◆ data() [2/3]

◆ data() [3/3]

◆ dataType()

◆ edges_xx() [1/2]

◆ edges_xx() [2/2]

◆ edges_yy() [1/2]

◆ edges_yy() [2/2]

◆ error() [1/3]

◆ error() [2/3]

◆ error() [3/3]

◆ extra_info() [1/2]

◆ extra_info() [2/2]

◆ get_data() [1/2]

◆ get_data() [2/2]

◆ get_error() [1/2]

◆ get_error() [2/2]

◆ IndipendentVariable()

◆ inverse_covariance() [1/2]

◆ inverse_covariance() [2/2]

◆ invert_covariance()

◆ ndata() [1/2]

◆ ndata() [2/2]

◆ ndataset()

◆ Print()

◆ read() [1/2]

◆ read() [2/2]

◆ reset()

◆ set_covariance() [1/4]

◆ set_covariance() [2/4]

◆ set_covariance() [3/4]

◆ set_covariance() [4/4]

◆ set_data() [1/2]

◆ set_data() [2/2]

◆ set_dataType()

◆ set_edges_xx()

◆ set_edges_yy()

◆ set_error() [1/2]

◆ set_error() [2/2]

◆ set_extra_info()

◆ set_xx() [1/3]

◆ set_xx() [2/3]

◆ set_xx() [3/3]

◆ set_yy()

◆ write() [1/3]

◆ write() [2/3]

◆ write() [3/3]

◆ write_covariance()

◆ xsize() [1/2]

◆ xsize() [2/2]

◆ xx() [1/3]

◆ xx() [2/3]

◆ xx() [3/3]

◆ ysize()

◆ yy() [1/2]

◆ yy() [2/2]