关于python：在绘制/绘制有序分类系列时保留类别顺序

Retaining category order when charting/plotting ordered categorical Series

请考虑以下类别pd.Series：

1
2
3
4
5
6
7
8
9
10
11
12
13

In [37]: df = pd.Series(pd.Categorical(['good', 'good', 'ok', 'bad', 'bad', 'awful', 'awful'], categories=['bad', 'ok', 'good', 'awful'], ordered=True))

In [38]: df
Out[38]:
0 good
1 good
2 ok
3 bad
4 bad
5 awful
6 awful
dtype: category
Categories (4, object): [bad < ok < good < awful]

我想绘制这些饼图或条形图。根据此SO答案，绘制类别Series要求我绘制value_counts，但这不保留类别排序：

1	df.value_counts().plot.bar()

如何绘制有序的分类变量并保留排序？
Bar

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

print df.value_counts()
awful 2
good 2
bad 2
ok 1
dtype: int64

print df.value_counts(sort=False)
bad 2
ok 1
good 2
awful 2
dtype: int64

print df.value_counts(sort=False).plot.bar()

graph

或添加sort_index：

1
2
3
4
5
6
7
8

print df.value_counts().sort_index()
bad 2
ok 1
good 2
awful 2
dtype: int64

print df.value_counts().sort_index().plot.bar()