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sdffunknown
abap
2 years ago
1.2 kB
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import matplotlib.pyplot as plt import numpy as np # Data for the six plant species species = ["Jade", "Indian Hawthorn", "Lantana", "Tabacco", "Purslane", "Ivy"] rwc_values = [51, 79, 66.7, 80, 63.6, 66.66] # Replace with your RWC values rwc_error = [5.3, 9.2, 35, 4.12, 9.1, 13] # Replace with your RWC standard deviation values succulence_values = [0.44, 0.15, 0.01, 0.026, 0.05, 0.02] # Replace with your succulence values succulence_error = [0.07, 0.02, 0.01, 0.00, 0.01, 0.01] # Replace with your succulence standard deviation values # Create subplots for RWC and succulence fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 8)) # Bar graph for RWC ax1.bar(species, rwc_values, yerr=rwc_error, capsize=5, color='skyblue', label='RWC (%)') ax1.set_ylabel('RWC (%)') ax1.set_title('Relative Water Content (RWC) for Six Plant Species') ax1.set_ylim(0, 100) ax1.legend() # Bar graph for succulence ax2.bar(species, succulence_values, yerr=succulence_error, capsize=5, color='lightcoral', label='Succulence (mm)') ax2.set_ylabel('Succulence (mm)') ax2.set_title('Succulence for Six Plant Species') ax2.legend() # Adjust layout for better visibility plt.tight_layout() # Show the plot plt.show()
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