<jupyter_start><jupyter_text>Pd-C Catalyst<jupyter_code>import os
import numpy as np
import matplotlib.pyplot as plt
from functions import *
path = os.path.join("../", "Pd-C Catalyst")<jupyter_output><empty_output><jupyter_text>1- Impedance : Various Pd/C Loading and SBH%<jupyter_code>data = load_data(os.path.join(path, "1.csv"))
impedance_plot(data, CL=4.4, SBH=1)
impedance_plot(data, CL=8.8, V=0.5)
impedance_plot(data, V=0.5, SBH=3)<jupyter_output><empty_output><jupyter_text>2- Impedance : Various Pd/C Loading and SBH% with O2<jupyter_code>data = load_data(os.path.join(path, "2.csv"))
impedance_plot(data, CL=8.8, SBH=5)
impedance_plot(data, CL=17.7, V=0.5)
impedance_plot(data, SBH=5, V=0.7)<jupyter_output><empty_output><jupyter_text>3- Polarization : Various Pd/C Loading and SBH%<jupyter_code>data = load_data(os.path.join(path, "3.csv"))
polarization_plot(data, SBH=1, CL=4.4)
polarization_plot(data, SBH=5, CL=13.4)<jupyter_output><empty_output><jupyter_text>4- Polarization : Various Pd/C Loading and SBH% with Air<jupyter_code>data = load_data(os.path.join(path, "4.csv"))
polarization_plot(data, SBH=5, CL=8.8)<jupyter_output><empty_output><jupyter_text>5- Polarization : Various Pd/C Loading and SBH% with O2<jupyter_code>data = load_data(os.path.join(path, "5.csv"))
polarization_plot(data, SBH=5, CL=8.8)<jupyter_output><empty_output>
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