plot_Rs_meausrements.py

'''
Code to plot Rs measurements. 
Use ChatGPT to arrange the data from the spreadsheet into python arrays. Put in informative label on each trace
Adrian Salustri
'''

import pandas as pd
import matplotlib.pyplot as plt

strain_s1 = [0, 5, 10, 15, 20]
rs_s1 = [208.04, 292.01, 406.84, 1528.73, 3331.48]

strain_s2 = [0, 5, 10, 15]
rs_s2 = [172.28, 261.63, 389.03, 1560.49]

strain_s1_5umNylon = [0, 5, 10, 15, 20, 30, 40]
rs_s1_5umNylon = [209.15, 206.38, 245.34, 338.21, 628.39, 4884.62, 42522.32]

strain_s2_5umNylon = [0, 5, 10, 15, 20, 30, 40]
rs_s2_5umNylon = [270.87, 423.49, 526.04, 861.12, 1051.78, 1643.02, 22052.70]

strain_s3_5umNylon = [0, 5, 10, 15, 20, 30, 40, 50]
rs_s3_5umNylon = [161.86, 229.22, 405.24, 736.92, 1059.32, 3911.34, 30266.34, 327683.62]


# Plotting the data
fig = plt.figure(figsize=(10, 6))
labels = ['1 Layer', '2 Layer', '3 Layer']

# Plot the data with square markers
plt.plot(strain_s1, rs_s1, marker='s', label='S1 - 3 layer (NMT)')
plt.plot(strain_s2, rs_s2, marker='s', label='S2 - 2 layer (NMT)')

# Plot the data with diamond markers
plt.plot(strain_s1_5umNylon, rs_s1_5umNylon, marker='d', label='S1 - 2 layer (w/ 5um Nylon)')
plt.plot(strain_s2_5umNylon, rs_s2_5umNylon, marker='d', label='S2 - 1 layer (w/ 5um Nylon)')
plt.plot(strain_s3_5umNylon, rs_s3_5umNylon, marker='d', label='S3 - 1 layer (w/ 5um Nylon)')

# Adding labels and title
plt.xlabel('Strain (%)')
plt.ylabel('log Sheet Resistance (Ohms/square)')
plt.title('Sheet Resistance vs Strain for STEC-enhanced PEDOT:PSS')
plt.legend()
plt.grid(True)

#add equation used.
plt.text(0.55, 0.88, r'$R_s = R\frac{W}{L}$', ha='center', va='center', transform=plt.gca().transAxes, fontsize=20)

#(un)/comment for log scale
plt.ylabel('log Sheet Resistance (Ohms/square)')
plt.yscale('log')
plt.ylim(100,10**5)

## linear scale
# plt.yscale('linear')
# plt.ylim(0,1000)
# plt.ylabel('Sheet Resistance (Ohms/square)')

plt.show()