watex.utils.funcutils.fit_ll#

watex.utils.funcutils.fit_ll(ediObjs, by='index', method='strict', distance='cartesian')[source]#

Fit EDI by location and reorganize EDI according to the site longitude and latitude coordinates.

EDIs data are mostly reading in an alphabetically order, so the reoganization

according to the location(longitude and latitude) is usefull for distance betwen site computing with a right position at each site.

Parameters

  • ediObjs (watex.edi.Edi_Collection) – list of EDI object, composed of a collection of watex.edi.Edi or pycsamt.core.edi.Edi or mtpy.core.edi objects

  • by (str) – [‘name’|’ll’|’distance’|’index’|’name’|’dataid’] The kind to sorting EDI files. Default uses the position number included in the EDI-files name.

  • method (str) – [‘strict|’naive’]. Kind of method to sort the EDI file from longitude, latitude. Default is strict.

  • distance (str) – [‘cartesian’|’harvesine’]. Use the distance between coordinates points to sort EDI files. Default is cartesian distance.

Returns

array splitted into ediObjs and Edifiles basenames

Rtyple

tuple

Example
>>> import numpy as np
>>> from watex.methods.em import EM
>>> from watex.utils.funcutils import fit_ll
>>> edipath ='data/edi_ss'
>>> cediObjs = EM().fit (edipath)
>>> ediObjs = np.random.permutation(cediObjs.ediObjs) # shuffle the
... # the collection of ediObjs
>>> ediObjs, ediObjbname = fit_by_ll(ediObjs)
...