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- import numpy as np
- import pandas as pd
- import matplotlib.pyplot as plt
- data = [[20, 35, 30, 40], [25, 40, 45, 30],
- [15, 20, 35, 45], [10, 25, 40, 15],
- [50, 20, 45, 55], [10, 55, 60, 20]]
- data_std = [[1, 2, 1, 2], [1, 2, 1, 2], [1, 2, 1, 2],
- [1, 2, 1, 2], [1, 2, 1, 2], [1, 2, 1, 2]]
- length = len(data)
- x_labels = ['A', 'B', 'C', 'D', 'E', 'F']
- # Set plot parameters
- fig, ax = plt.subplots()
- width = 0.2 # width of bar
- x = np.arange(length)
- ax.bar(x, data[0][0], width, color='#000080', label='Case-1', yerr=data_std[0][0])
- ax.bar(x + width, data[0][1], width, color='#0F52BA', label='Case-2', yerr=data_std[0][1])
- ax.bar(x + (2 * width), data[0][2], width, color='#6593F5', label='Case-3', yerr=data_std[0][2])
- ax.bar(x + (3 * width), data[0][3], width, color='#73C2FB', label='Case-4', yerr=data_std[0][3])
- ax.set_ylabel('Metric')
- ax.set_ylim(0,75)
- ax.set_xticks(x + width + width/2)
- ax.set_xticklabels(x_labels)
- ax.set_xlabel('Scenario')
- ax.set_title('Title')
- ax.legend()
- plt.grid(True, 'major', 'y', ls='--', lw=.5, c='k', alpha=.3)
- fig.tight_layout()
- plt.show()
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