watex.methods.em.EM.make2d#
- EM.make2d(out='resxy', *, kind='complex', **kws)[source]#
Out 2D resistivity, phase-error and tensor matrix from a collection of EDI-objects.
Matrix depends of the number of frequency times number of sites. The function asserts whether all data from all frequencies are available. The missing values should be filled by NaN.
- Parameters
data (Path-like object or list of pycsamt.core.edi objects) – Collections of EDI-objects from `pycsamt`_ or full path to EDI files.
out (str) – kind of data to output. Be sure to provide the component to retrieve the attribute from the collection object. Except the error and frequency attribute, the missing component to the attribute will raise an error. for instance
resxyfor xy component. Default isresxy.kind (bool or str) – focuses on the tensor output. Note that the tensor is a complex number of ndarray (nfreq, 2,2 ). If set to``modulus`, the modulus of the complex tensor should be outputted. If
realor``imag``, it returns only the specific one. Default iscomplex.kws (dict) – Additional keywords arguments from :func:`~.getfullfrequency `.
- Returns
mat2d – the matrix of number of frequency and number of Edi-collectes which correspond to the number of the stations/sites.
- Return type
np.ndarray(nfreq, nstations)
Examples
>>> from watex.methods.em import EM >>> edipath ='data/edis' >>> emObjs= EM().fit(edipath) >>> phyx = EM().make2d ('phaseyx') >>> phyx ... array([[ 26.42546593, 32.71066454, 30.9222746 ], [ 44.25990541, 40.77911136, 41.0339148 ], ... [ 37.66594686, 33.03375863, 35.75420802], [ nan, nan, 44.04498791]]) >>> phyx.shape ... (55, 3) >>> # get the real number of the yy componet of tensor z >>> zyy_r = make2d (ediObjs, 'zyx', kind ='real') ... array([[ 4165.6 , 8665.64 , 5285.47 ], [ 7072.81 , 11663.1 , 6900.33 ], ... [ 90.7099, 119.505 , 122.343 ], [ nan, nan, 88.0624]]) >>> # get the resistivity error of component 'xy' >>> resxy_err = EM.make2d ('resxy_err') >>> resxy_err ... array([[0.01329037, 0.02942557, 0.0176034 ], [0.0335909 , 0.05238863, 0.03111475], ... [3.33359942, 4.14684926, 4.38562271], [ nan, nan, 4.35605603]]) >>> phyx.shape ,zyy_r.shape, resxy_err.shape ... ((55, 3), (55, 3), (55, 3))