epsproc.util.conversion module

ePSproc conversion functions

17/07/20 Added orb3DCoordConv(), for orbital file coord conversions. 12/03/20 Added multiDimXrToPD(), function adapted from lmPlot() code.

epsproc.util.conversion.conv_BL_BLM(data, to='sph', renorm=True)[source]
Convert BL (Legendre Polynomial) <> BLM (Spherical Harmonic), plus parameter renomalisation.
\[ \begin{align}\begin{aligned}eta^{Sph}_{L,0} = \sqrt{(2L+1)/4\pi}eta^{Lg}\\Note: other conventions may be used here, see https://shtools.github.io/SHTOOLS/complex-spherical-harmonics.html#supported-normalizations\\Parameters ---------- data : Xarray Values to convert. Currently assumes an Xarray, with dims .L and .M\\to : str, default = 'sph' - 'sph' to convert BL > BLM - 'lg' to convert BL0 > BL\\renorm : bool, optional, default = True If true, additionally renormalise paramters by L=0 term, such that B0 = 1.\\Notes ----- - Should add type to keep track of betas here. - Should generalise to other input structure & add error checking. - Implement SHTOOLS library....!\end{aligned}\end{align} \]
epsproc.util.conversion.conv_ev_atm(data, to='ev')[source]

Convert eV <> Hartree (atomic units)

  • data (int, float, np.array) – Values to convert.
  • to (str, default = 'ev') –
    • ‘ev’ to convert H > eV
    • ’H’ to convert eV > H

Return type:

data converted in converted units.


Convert E(eV) <> nu(nm).

epsproc.util.conversion.multiDimXrToPD(da, colDims=None, rowDims=None, thres=None, squeeze=True, dropna=True, fillna=False, verbose=False)[source]

Convert multidim Xarray to stacked Pandas 2D array, (rowDims, colDims)

  • da (Xarray) – Array for conversion.
  • colDims (list of dims for columns, default = None) –
  • rowDims (list of dims for rows, default = None) –
  • NOTE (if xDim is a MultiIndex, pass as a dictionary mapping, otherwise it may be unstacked during data prep.) –
  • full control over dim stack ordering, specifiy both colDims and rowDims (For) –
  • NOTE
  • for plotting stacked (L,M), set xDim = {'LM' (E.g.) –
  • thres (float, optional, default = None) – Threshold values in output (pd table only) TODO: generalise this and use matEleSelector() for input?
  • squeeze (bool, optional, default = True) – Drop singleton dimensions.
  • dropna (bool, optional, default = True) – Drop all NaN dimensions from output pd data frame (columnwise and rowise).
  • fillna (bool, optional, default = False) – Fill any NaN values with 0.0. Useful for plotting/making data contiguous.

  • daRestackpd (pandas data frame (2D) with sorted data.)
  • daRestack (Xarray with restacked data.)

Restack Xarray by specified dims, including basic dims checking, then use da.to_pandas().

12/03/20 Function adapted from lmPlot() code.


This might casue epsproc.lmPlot() to fail for singleton x-dimensions if squeeze = True. TO do: add work-around, see lines 114-122.

epsproc.util.conversion.orb3DCoordConv(fileIn, coordMaxLen=50)[source]

Basic coord parse & conversion for volumetric wavefunction files from ePS.

  • fileIn (data from a single file) – List of values from a wavefunction file, as returned by epsproc.readOrb3D(). (Note this currently assumes a single file/set of values.)
  • coordMaxLen (int, optional, default=50) – Max coord grid size, assumed to demark native Cart (<coordMaxLen) from Spherical (>coordMaxLen) coords.


Return type:

np.arrays of Cartesian coords (x,y,z)


Renormalise passed data (Xarray) by (L,M) = (0,0) term.

Requires input Xarray to have dims (L,M) or (l,m), should be robust over all other dims.