我認(rèn)為既然您已經(jīng)在使用matplotlib，那么在pandas中進(jìn)行數(shù)據(jù)爭用也更有意義。在In [101]: JSON = '''[{"first":"A","second":"1","third":"2"},

.....: {"first":"B","second":"1","third":"2"},

.....: {"first":"C","second":"2","third":"2"},

.....: {"first":"D","second":"3","third":"2"},

.....: {"first":"E","second":"3","third":"2"},

.....: {"first":"F","second":"3","third":"2"},

.....: {"first":"G","second":"3","third":"2"},

.....: {"first":"H","second":"4","third":"2"},

.....: {"first":"I","second":"4","third":"2"},

.....: {"first":"J","second":"0","third":"2"},

.....: {"first":"K","second":"0","third":"2"},

.....: {"first":"L","second":"0","third":"2"},

.....: {"first":"M","second":"0","third":"2"},

.....: {"first":"N","second":"0","third":"2"}]

.....: '''

In [102]: df = pd.read_json(JSON)

In [103]: df

Out[103]:

first second third

0 A 1 2

1 B 1 2

2 C 2 2

3 D 3 2

4 E 3 2

5 F 3 2

6 G 3 2

7 H 4 2

8 I 4 2

9 J 0 2

10 K 0 2

11 L 0 2

12 M 0 2

13 N 0 2

In [104]: df.groupby('second').size().plot(kind='bar')

Out[104]:

條形圖將您的類別按正確的順序排列。在

但是，如果您只需要一個(gè)通用方法來排列條形圖，則可以構(gòu)建一個(gè)臨時(shí)數(shù)據(jù)幀，對其進(jìn)行排序，然后繪制：

^{pr2}$

總結(jié)

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