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import matplotlib.pyplot as plt import numpy as np # Create data for the dose-response curve dose = [1, 2, 4, 8, 16] # dose of ACh response = [30, 0, 50, 65, 75] # % response of ACh in presence of atropine inhibition = [70, 100, 50, 35, 25] # % inhibition by atropine # Create a logarithmic scale for the x-axis x = np.log10(dose) # Create a figure and axes object fig, ax1 = plt.subplots() # Plot the % response of ACh in the presence of atropine ax1.plot(x, response, 'bo-', label='% Response of ACh in presence of atropine') ax1.set_xlabel('Log Dose of ACh') ax1.set_ylabel('% Response of ACh in presence of atropine') ax1.set_ylim([0, 100]) ax1.set_xticks(x) ax1.set_xticklabels(dose) # Create a secondary y-axis for % inhibition ax2 = ax1.twinx() ax2.plot(x, inhibition, 'rs-', label='% Inhibition by Atropine') ax2.set_ylabel('% Inhibition by Atropine') ax2.set_ylim([0, 100]) # Add a legend to the plot lines, labels = ax1.get_legend_handles_labels() lines2, labels2 = ax2.get_legend_handles_labels() ax2.legend(lines + lines2, labels + labels2, loc='best') # Add a title to the plot plt.title('Dose-Response Curve for ACh and Atropine on Guinea Pig Ileum') # Display the plot plt.show()
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