22 lines
796 B
Python
22 lines
796 B
Python
import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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data = pd.read_csv('amplified.csv')
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plt.scatter(data['Salinity [ppt]'], data['Output Max Trial 1[Vpp]'], label = 'Trial 1', color = 'green')
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plt.scatter(data['Salinity [ppt]'], data['Output Max Trial 2[Vpp]'], label = 'Trial 2', color = 'blue')
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plt.scatter(data['Salinity [ppt]'], data['Output Max Trial 3[Vpp]'], label = 'Trial 3', color = 'red')
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plt.scatter(data['Salinity [ppt]'], data['Output Max Trial 4[Vpp]'], label = 'Trial 4', color = 'pink')
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z = np.polyfit(data['Salinity [ppt]'], data['Output Max Trial 4[Vpp]'], 1)
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p = np.poly1d(z)
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plt.legend(title='Trials')
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plt.ylabel('Output Max [Vpp]', fontsize=14)
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plt.xlabel('Salinity [ppt]', fontsize=14)
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plt.show()
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print(f"Trendline equation: y = {z[0]}x + {z[1]}")
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