DataLoading Namespace Reference

Functions
def	data_ID_loader (**kwargs)
	IMPORT DATASET AND LABELS. More...
def	label_ID_loader (DataNameComplete, **kwargs)
def	extractor (WhichData, DataFileName, K)
def	DataThresholdSelection (IDs_tot, Low, High, NDatasets)

Variables
	content = f.readline()
	extract single shots More...
	no_of_columns = len(content.split(' '))
	NShots
	ThisData = np.transpose(np.loadtxt(DataFileName, usecols=np.arange(3,no_of_columns)))
	extract density More...
	Ntot = DataFileName.split('00N')[1].split('M')[0]
	extract particle number More...
	lines = f.read().splitlines()
	extract fragmentation More...
	last_line = lines[-1]
	FRAG = last_line.split(' ')[1].strip()
	_
	extract phase histograms More...
int	toskip = 2
	Xmin = str(min(np.loadtxt(DataFileName, usecols=[0],skiprows=toskip)))
	Xmax = str(min(np.loadtxt(DataFileName, usecols=[0],skiprows=toskip)))
	file_x_boundaries = open('Xboundaries.txt', 'w+')
	VizGrid = np.loadtxt(DataFileName, usecols=[0],skiprows=toskip)

Function Documentation

data_ID_loader()

def DataLoading.data_ID_loader

(

**

kwargs

)

IMPORT DATASET AND LABELS.

Loads the paths (IDs) for the dataset and already splits them into training and test sets.

  Parameters
  ----------
  **kwargs :

      ----------
      - data (=inp.Training_Data) : str
      specifies what is the data, can be any of the following:
       
      * FRAG :
          Flag to extract the fragmentation

      * NPAR :
          Flag to extract the number of particles
    
      * DENS:
          Flag to extract the density

      * CORR1/CORR2/RHO1/RHO2:
          Flag to extract the one-body or two-body reduced density matrix (RHO) or Galuber correlations (CORR)

      * POT:
          Flag to extract the potential

      * PHASEHIST:
          Flag to extract the phase histogram


  Returns
  -------

  (IDs_training, IDs_test)

  The paths where the data sets for training and test are stored.

    

    References
    ----------

    See Also
    --------

    Notes
    -----

    Examples
    --------

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DataThresholdSelection()

def DataLoading.DataThresholdSelection	(		IDs_tot,
			Low,
			High,
			NDatasets
	)

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extractor()

def DataLoading.extractor	(		WhichData,
			DataFileName,
			K
	)

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label_ID_loader()

def DataLoading.label_ID_loader	(		DataNameComplete,
		**	kwargs
	)

Loads the paths (IDs) for the dataset and already splits them into training and test sets.

  Parameters
  ----------
  **kwargs :

  ----------
  - labels (=inp.Learn) : str
    specifies what is the data, can be any of the following:
       
      * FRAG :
          Flag to extract the fragmentation

      * NPAR :
          Flag to extract the number of particles
    
      * DENS:
          Flag to extract the density

      * CORR1/CORR2/RHO1/RHO2:
          Flag to extract the one-body or two-body reduced density matrix (RHO) or Galuber correlations (CORR)

      * POT:
          Flag to extract the potential

      * PHASEHIST:
          Flag to extract the phase histogram


  Returns
  -------

  LabelNameComplete:

  The paths where the labels of the corresponding data sets (for training or testing) are stored.

    

    References
    ----------

    See Also
    --------

    Notes
    -----

    Examples
    --------

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Variable Documentation

_

DataLoading._

private

extract phase histograms

content

DataLoading.content = f.readline()

extract single shots

file_x_boundaries

DataLoading.file_x_boundaries = open('Xboundaries.txt', 'w+')

FRAG

string DataLoading.FRAG = last_line.split(' ')[1].strip()

last_line

DataLoading.last_line = lines[-1]

lines

DataLoading.lines = f.read().splitlines()

extract fragmentation

no_of_columns

DataLoading.no_of_columns = len(content.split(' '))

NShots

DataLoading.NShots

Ntot

DataLoading.Ntot = DataFileName.split('00N')[1].split('M')[0]

extract particle number

ThisData

tuple DataLoading.ThisData = np.transpose(np.loadtxt(DataFileName, usecols=np.arange(3,no_of_columns)))

extract density

extract potential

extract correlations

calculate/extract the correlation functions or reduced density matrix form MCTDHX data

toskip

int DataLoading.toskip = 2

VizGrid

DataLoading.VizGrid = np.loadtxt(DataFileName, usecols=[0],skiprows=toskip)

Xmax

DataLoading.Xmax = str(min(np.loadtxt(DataFileName, usecols=[0],skiprows=toskip)))

Xmin

DataLoading.Xmin = str(min(np.loadtxt(DataFileName, usecols=[0],skiprows=toskip)))