DataPlot Class Reference

Inherits object.

Public Member Functions
def	__init__
def	plotA
def	plotAllA
def	plotRelA
def	plotOmega
def	tem_in_K (self, tem_units, tem)

Public Attributes
	calling
	atom
	elem
	spec
	atom_data
	coll_data
	ref_tem
	atom_rom
	n_tem_points
	atom_n_max
	coll_n_max

Detailed Description

Plot transition probabilities and collision strengths from different data sets

Constructor & Destructor Documentation

def __init__	(		self,
			elem = None,
			spec = None,
			all_data = [],
			atom = None,
			n_tem_points = 10000,
			ref_tem = None,
			OmegaInterp = 'Cheb',
			NLevels = None
	)

    Parameters:
- elem         atomic elem 
- spec       ionization stage in spectroscopic notation (I = 1, II = 2, etc.)
- atom        e.g. 'O3'
- all_data       dictionary of all_data to be compared (see above for format)
- [n_tem_points] number of points in the fit (default=100; increase if fit is not smooth)
- [ref_tem]      array of temperature values to be signaled in the plots
- OmegaInterp    interpolating function between Omega values ('Cheb' [default], 'Linear')
    
    Example:
dataplot = pn.DataPlot('O', 3) # initializes the plot
dataplot.plotA() # transition probabilities plot 
dataplot.plotRelA() # relative transition probabilities plot
dataplot.plotOmega() # collision strength plot    

Member Function Documentation

def plotA	(		self,
			save = False,
			figsize = (18, 12,
			fignum = None,
			NLevels = None
	)

Plot the log of the A values of each data set 

Parameters:
    - save     if True, saves the plot in a file
    - figsize  figure size (default: [18, 12])
    - fignum    figure Number

def plotAllA	(		self,
			save = False,
			figsize = (18, 12,
			fignum = None,
			NLevels = None
	)

Plot the log of the A values of each data set 

Parameters:
    - save     if True, saves the plot in a file
    - figsize  figure size (default: [18, 12])
    - fignum    figure Number

def plotOmega	(		self,
			save = False,
			figsize = (18, 12,
			fignum = 1,
			scan_orders = None,
			NLevels = None,
			fig = None
	)

Plot the tabulated collision strengths of each data set and the fit that is performed by PyNeb

Parameters:
    - save     Boolean. Determine if the plot is automatically saved in a file (default: False)
    - figsize  List. figure size in inches (default: [18, 12])
    - fignum   Figure Number
    - scan_orders = None or (min_order, max_order) or (min_order, -1) to go until the max. DEPRECATED!!!

def plotRelA	(		self,
			ref_data = None,
			save = False,
			figsize = None,
			fignum = None,
			NLevels = None,
			fig = None
	)

Plot the relative difference of the A of each data set with respect to the reference one

Parameters:
    - ref_data       reference data set for comparing transition probabilities (default=first data ID)
    - save           if True, save the plot in a file (default: False)
    - figsize        figure size (default: [18, 12])
    - fignum         figure number

def tem_in_K	(		self,
			tem_units,
			tem
	)

Convert the temperature from the unit of the fits file into K

Parameters:
    - tem_units     'log(K)' or 'K/1000'
    - tem           temperature

Member Data Documentation

atom

atom_data

atom_n_max

atom_rom

calling

coll_data

coll_n_max

elem

n_tem_points

ref_tem

spec