Nanopore-tools/ConductivityPlot.py
fbf8f3beb1e9Development-of-Analysis…

ConductivityPlot.py
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			import pandas as pd
			from scipy.optimize import curve_fit
			import Functions as uf
			import numpy as np
			import os
			import matplotlib.pyplot as plt
			import matplotlib
			from scipy import constants as cst
			matplotlib.rcParams['pdf.fonttype'] = 42
			matplotlib.rcParams['ps.fonttype'] = 42

			def Exp(x, a, b):
			return np.exp(x*a)+b

			conc = [1.0, 0.1, 0.01, 0.001, 0.0001]
			cond = [10.554, 12.9e-1, 1.41e-1, 0.147e-1, 0.015e-1]
			p = np.polyfit(np.log(conc), np.log(cond), 3)
			print(p)

			concrange = np.linspace(1e-6, 1, 1000)

			fig = plt.figure(1, figsize=(5, 5))
			ax = fig.add_subplot(111)
			ax.plot(np.log(conc), np.log(cond), linestyle = 'None', marker='o', color='b')
			ax.plot(np.log(concrange), np.polyval(p,np.log(concrange)), linestyle = '--', color='r')
			#ax.set_xscale('log')
			#ax.set_yscale('log')

			plt.show()