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()