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Hi. I sent you an e-mail which address is gmail.
But I really want to know how to fit the type of dataframe with EIS_fit.
Because my raw data consists of charge and discharge (so it doesn't have frequency range) and EIS data(it has frequency data), I can not use this raw data without preprocessing.
So my mpt file(raw data) couldn't be used in raw.
So I changed this type of raw data into dataframe type.(PyEIS.PyEIS.EIS_exp object at 0x000001B0938DC9D0>)
I can get the Nyquist plot with dataframe type, but I can not fit EIS data with equivalent circuit model.
As checked it, the reason why this phenomena has occured is that dataframe type can not use EIS_fit function.
I want to know is it possible to convert dataframe type with raw data type?
Or, other function to fit ECM with EIS data applicable in dataframe exist?
The text was updated successfully, but these errors were encountered:
Hi. I sent you an e-mail which address is gmail.

But I really want to know how to fit the type of dataframe with EIS_fit.
Because my raw data consists of charge and discharge (so it doesn't have frequency range) and EIS data(it has frequency data), I can not use this raw data without preprocessing.
So my mpt file(raw data) couldn't be used in raw.
So I changed this type of raw data into dataframe type.(PyEIS.PyEIS.EIS_exp object at 0x000001B0938DC9D0>)
I can get the Nyquist plot with dataframe type, but I can not fit EIS data with equivalent circuit model.
As checked it, the reason why this phenomena has occured is that dataframe type can not use EIS_fit function.
I want to know is it possible to convert dataframe type with raw data type?
Or, other function to fit ECM with EIS data applicable in dataframe exist?
The text was updated successfully, but these errors were encountered: