Python charts with numpy

opticalDensitySample-matplotlib.py

import numpy as np

from matplotlib import pyplot as plt

concentrationCurve = [100,50,25,12.5,6.25,3.125,0]
opticalDensityCurve = [0.7755,0.3205,0.1325,0.061,0.038,0.029,0.026]

concentrationSamples = [19.1,28.05,44.44,59.38,68.67,74.27,91.33]
opticalDensitySample = [0.1065,0.1585,0.268,0.384,0.464,0.515,0.684]

concentration = concentrationCurve + concentrationSamples
opticalDensity = opticalDensityCurve + opticalDensitySample

plt.scatter(concentrationCurve, opticalDensityCurve, c='lightblue')
plt.scatter(concentrationSamples, opticalDensitySample, c='darkblue')

#polynomial fit with degree = 2
model = np.poly1d(np.polyfit(concentration, opticalDensity, 2))

plt.xlabel ('SNAP concentration (µM)')
plt.ylabel ('Optical Density (OD)')
plt.title ('Curva de concentração do SNAP e pontos de amostragem')

#add fitted polynomial line to scatterplot
polyline = np.linspace(1, 125, 50)
#plt.scatter(concentration, od)
#plt.plot(polyline, model(polyline))
plt.show()

print("model:")
print(model)