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1 | 1 | """ |
2 | 2 | ================= |
3 | | -Stacked Bar Graph |
| 3 | +Stacked bar chart |
4 | 4 | ================= |
5 | 5 |
|
6 | 6 | This is an example of creating a stacked bar plot with error bars |
|
13 | 13 | import matplotlib.pyplot as plt |
14 | 14 |
|
15 | 15 |
|
16 | | -N = 5 |
| 16 | +labels = ['G1', 'G2', 'G3', 'G4', 'G5'] |
17 | 17 | men_means = [20, 35, 30, 35, 27] |
18 | 18 | women_means = [25, 32, 34, 20, 25] |
19 | 19 | men_std = [2, 3, 4, 1, 2] |
20 | 20 | women_std = [3, 5, 2, 3, 3] |
21 | | -ind = np.arange(N) # the x locations for the groups |
22 | 21 | width = 0.35 # the width of the bars: can also be len(x) sequence |
23 | 22 |
|
24 | 23 | fig, ax = plt.subplots() |
25 | 24 |
|
26 | | -ax.bar(ind, men_means, width, yerr=men_std, label='Men') |
27 | | -ax.bar(ind, women_means, width, yerr=women_std, bottom=men_means, |
| 25 | +ax.bar(labels, men_means, width, yerr=men_std, label='Men') |
| 26 | +ax.bar(labels, women_means, width, yerr=women_std, bottom=men_means, |
28 | 27 | label='Women') |
29 | 28 |
|
30 | 29 | ax.set_ylabel('Scores') |
31 | 30 | ax.set_title('Scores by group and gender') |
32 | | -ax.set_xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5')) |
33 | | -ax.set_yticks(np.arange(0, 81, 10)) |
34 | 31 | ax.legend() |
35 | 32 |
|
36 | 33 | plt.show() |
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