move data formating scripts into this repo

scripts/soc_estimation.py

@@ -0,0 +1,32 @@
+from scipy.optimize import curve_fit
+from scipy.interpolate import splrep, splev
+import csv
+import argparse
+import numpy
+import matplotlib.pyplot as plt
+from eisgenerator import EisSpectra
+import io
+import tarfile
+from tqdm import tqdm
+from spectrafile import SpectraFile
+
+
+def add_soc_estimate(spectras: list[SpectraFile]):
+	data = [list(), list()]
+
+	for spectra in spectras:
+		if not spectra.meta.soc <= 0:
+			data[0].append(spectra.ocv)
+			data[1].append(spectra.meta.soc)
+
+	ndata = numpy.asarray(data)
+	ndata.sort(1)
+
+	knots = 9
+	qs = numpy.linspace(0, 1, knots)[1:-1]
+	knots = numpy.quantile(ndata[0], qs)
+	tck = splrep(ndata[0], ndata[1], t=knots, k=3)
+	estimates = splev(ndata[0], tck)
+
+	for spectra in spectras:
+		spectra.meta.soc_estimate = splev(spectra.ocv, tck)