python.utils.data_projections Namespace Reference

Functions
def	getminmax (filename, separator=None)

Variables
	action
	args
	cin
	couterr
	data = fd.readlines()
	datsep
	default
	dest
int	dim = len(line)-1
string	dotwidth = " lw %d" % (options.dotwidth)
tuple	dx = (1.0-xoffset) / dim
tuple	dy = (1.0-yoffset) / dim
	fd = tools.gzOpen(options.data, 'r')
string	fname = "< zcat "+options.data
string	gnuplot_separator = ""
	help
	line = data[-2].strip().split(options.datsep)
int	margin = 0
list	mmax = [float(x) for x in options.maxima.split()]
list	mmin = [float(x) for x in options.minima.split()]
	options
	parser = optparse.OptionParser()
string	s
	type
float	xoffset = 0.02
float	yoffset = 0.02

Function Documentation

getminmax()

def python.utils.data_projections.getminmax	(		filename,
			separator = None
	)

Computes min and max for each parameter

Variable Documentation

action

python.utils.data_projections.action

args

python.utils.data_projections.args

cin

python.utils.data_projections.cin

Referenced by sgpp::datadriven::clusteringmpi::OperationDummy.start_operation().

couterr

python.utils.data_projections.couterr

data

python.utils.data_projections.data = fd.readlines()

datsep

python.utils.data_projections.datsep

default

python.utils.data_projections.default

dest

python.utils.data_projections.dest

dim

int python.utils.data_projections.dim = len(line)-1

dotwidth

string python.utils.data_projections.dotwidth = " lw %d" % (options.dotwidth)

dx

tuple python.utils.data_projections.dx = (1.0-xoffset) / dim

Referenced by sgpp::combigrid::CubicSplineInterpolationEvaluator.setGridPoints().

dy

tuple python.utils.data_projections.dy = (1.0-yoffset) / dim

fd

python.utils.data_projections.fd = tools.gzOpen(options.data, 'r')

fname

python.utils.data_projections.fname = "< zcat "+options.data

gnuplot_separator

string python.utils.data_projections.gnuplot_separator = ""

help

python.utils.data_projections.help

line

python.utils.data_projections.line = data[-2].strip().split(options.datsep)

Referenced by sgpp::datadriven::StreamingBSplineOCLKernelSourceBuilder< T >.generateSourceMult(), sgpp::datadriven::StreamingBSplineOCLKernelSourceBuilder< T >.generateSourceMultTrans(), sgpp::base::OperationMultipleEvalInterModLinear.mult(), sgpp::base::AlgorithmMultipleEvaluation< BASIS >.mult(), sgpp::base::AlgorithmDGEMV< BASIS >.mult(), sgpp::base::AlgorithmMultipleEvaluation< BASIS >.mult_transpose(), sgpp::base::AlgorithmDGEMV< BASIS >.mult_transposed(), sgpp::base::OperationMultipleEvalInterModLinear.multTranspose(), sgpp::datadriven::ARFFTools.readARFF(), sgpp::datadriven::ARFFTools.readARFFSize(), sgpp::datadriven::CSVTools.readCSV(), sgpp::datadriven::CSVTools.readCSVSize(), sgpp::base::ConfigurationParameters.readFromFile(), sgpp::base::KernelSourceBuilderBase< real_type >.reuseSource(), and sgpp::base::ScreenOutput.writeStartSolve().

margin

int python.utils.data_projections.margin = 0

mmax

python.utils.data_projections.mmax = [float(x) for x in options.maxima.split()]

mmin

python.utils.data_projections.mmin = [float(x) for x in options.minima.split()]

options

python.utils.data_projections.options

parser

python.utils.data_projections.parser = optparse.OptionParser()

s

string python.utils.data_projections.s

Initial value:

=  """
    # taking data from %s
    %s
    set pm3d map
    set nokey
    unset colorbox
    set size 1,1 #square 
    set rmargin 0 
    set lmargin 0
    set tmargin 0 
    set bmargin 0
    #set multiplot layout 3,3
    set multiplot
    #
    """ % (options.data, gnuplot_separator)

type

python.utils.data_projections.type

xoffset

float python.utils.data_projections.xoffset = 0.02

yoffset

float python.utils.data_projections.yoffset = 0.02