watex.utils.rhophi2z

watex.utils.rhophi2z(rho, phi, freq)

Convert impedance-style information given in Rho/Phi format into complex valued Z.

Parameters:

• rho (ArrayLike 1D/2D) – Resistivity array in \(\Omega.m\). If array is two-dimensional, it should be 2x2 array (real).

• phi (ArrayLike 1D/2D) – Phase array in degree (\(\degree\)). If array is two-dimensional, it should be 2x2 array (real).

• freq (float, arraylike 1d) – Frequency in Hz

Returns:

Z – Z dimension depends to the inputs array rho and phi.

Return type:

Arraylike 1d or 2d , complex

Examples

>>> import numpy as np
>>> from watex.utils.exmath import rhophi2z
>>> rhophi2z (823 , 25 , 500 )
array([1300.00682824+606.20313966j])
>>> rho = np.array ([[823, 700], [723, 526]] )
>>> phi = np.array ([[45, 50], [90, 180]])
>>> rhophi2z (rho, phi , freq= 500  )
array([[ 1.01427314e+03+1.01427314e+03j,  8.50328081e+02+1.01338154e+03j],
       [ 8.23227764e-14+1.34443297e+03j, -1.14673449e+03+1.40434473e-13j]])
>>> rhophi2z (np.array ( [ 823, 700])  , np.array ([45, 50 ])  , [500, 700] )
array([1014.27313876+1014.27313876j, 1006.12175325+1199.04921402j])
>>> rho  = np.abs (np.random.randn (7, 3 ) * 100 )
>>> phi = np.abs ( np.random.randn (7, 3 ) *180 % 90 )
>>> freq = np.abs ( np.random.randn (7) * 100 )
>>> rhophi2z (rho   , phi  , freq )