Error using Lin_kk function

[daleduncan]

Running the ex4.Lin_KK(legend='potential') function in the tutorial gives me the following error:

   ~\anaconda3\lib\site-packages\PyEIS\PyEIS.py", line 2639, in Lin_KK
     self.KK_rr_re.append(residual_real(re=self.df[i].re, fit_re=self.KK_circuit_fit[i].real, fit_im=-self.KK_circuit_fit[i].imag)) #relative residuals for the real part
 
   ~\anaconda3\lib\site-packages\pandas\core\generic.py", line 5139, in __getattr__
     return object.__getattribute__(self, name)
 
 AttributeError: 'Series' object has no attribute 'real'

I am able to successful run all previous tutorial examples.
Has anyone experienced a similar issue and discovered a solution?
I am running Python 3.8.3 on Windows 10. Thanks.

[flottman]

yep. It's a known issue. You're going to have to make the circuit fit a numpy value

[flottman]

You might just want to grab n-block's version. He seems to be on top of things
(https://github.com/n-bock/PyEIS)

[gimdeokhwan]

I've fixed the this issue, but have no authority of "pull request"
but I've tested attached code, works well.

Reason why issue happened is self.KK_circuit_fit[i].real and self.KK_circuit_fit[i].imag not aligned to array data format.

so it should be changed following
(I'm in office so not possible to upload the screen shot and code)

    #changed by Gim
        length_of_kk_circuit_fit = len(self.KK_circuit_fit[i])
        KK_circuit_fit_real = []
        KK_circuit_fit_imag = []
        for idx in range(length_of_kk_circuit_fit):
            KK_circuit_fit_real.append(self.KK_circuit_fit[i][idx+length_of_kk_circuit_fit].real)
            KK_circuit_fit_imag.append(self.KK_circuit_fit[i][idx + length_of_kk_circuit_fit].imag)

        KK_circuit_fit_real = np.array(KK_circuit_fit_real)
        KK_circuit_fit_imag = np.array(KK_circuit_fit_imag)
        self.KK_rr_re.append(residual_real(re=self.df[i].re, fit_re=KK_circuit_fit_real, fit_im=-KK_circuit_fit_imag))#relative residuals for the real part
        self.KK_rr_im.append(residual_imag(im=self.df[i].im, fit_re=KK_circuit_fit_real, fit_im=-KK_circuit_fit_imag)) #relative residuals for the imag part
        # changed by Gim

        #self.KK_rr_re.append(residual_real(re=self.df[i].re, fit_re=self.KK_circuit_fit[i].real, fit_im=-self.KK_circuit_fit[i].imag)) #relative residuals for the real part
        #self.KK_rr_im.append(residual_imag(im=self.df[i].im, fit_re=self.KK_circuit_fit[i].real, fit_im=-self.KK_circuit_fit[i].imag)) #relative residuals for the imag part

[thinkmorenotdo]

yep. It's a known issue. You're going to have to make the circuit fit a numpy value

yes，the method you offered can let the code run fluently，3Q