bar plot group by pandas

1df.groupby('year').case_status.value_counts().unstack().plot.barh()
2

1df.groupby('year').case_status.value_counts().unstack(0).plot.barh()
2

1import matplotlib
2import matplotlib.pyplot as plt
3import numpy as np
4
5
6labels = ['G1', 'G2', 'G3', 'G4', 'G5']
7men_means = [20, 34, 30, 35, 27]
8women_means = [25, 32, 34, 20, 25]
9
10x = np.arange(len(labels))  # the label locations
11width = 0.35  # the width of the bars
12
13fig, ax = plt.subplots()
14rects1 = ax.bar(x - width/2, men_means, width, label='Men')
15rects2 = ax.bar(x + width/2, women_means, width, label='Women')
16
17# Add some text for labels, title and custom x-axis tick labels, etc.
18ax.set_ylabel('Scores')
19ax.set_title('Scores by group and gender')
20ax.set_xticks(x)
21ax.set_xticklabels(labels)
22ax.legend()
23
24
25def autolabel(rects):
26    """Attach a text label above each bar in *rects*, displaying its height."""
27    for rect in rects:
28        height = rect.get_height()
29        ax.annotate('{}'.format(height),
30                    xy=(rect.get_x() + rect.get_width() / 2, height),
31                    xytext=(0, 3),  # 3 points vertical offset
32                    textcoords="offset points",
33                    ha='center', va='bottom')
34
35
36autolabel(rects1)
37autolabel(rects2)
38
39fig.tight_layout()
40
41plt.show()
42