I have data in Pandas, where the temperatures are the column headers and the COP values are in the matrix. If I interpolate using pandas interpolate function I end up with linear interpolate, not weighted to the temperature at the top. For example, here is my original data: I have added the needed columns and I need to interpolate with respect to the column header version.. If I use the interpol function, the values are interpolated but not with respect to the temperature. See example, incorrect interpolation. Is this possible in Pandas or should I remove it our of a dataframe and rather do it in Scipy? Continue reading...
