Question

所以我自己写了一个很好的单词前缀词典，但现在我想用matplotlib将它转换成漂亮的直方图。我是整个matplot场景的新手，我没有看到任何其他问题。

以下是我的字典的示例

{'aa':4, 'ca':6, 'ja':9, 'du':10, ... 'zz':1}

Answer 1

我会使用pandas，因为它已构建在vectorized string methods：

# create some example data
In [266]: words = np.asarray(['aafrica', 'Aasia', 'canada', 'Camerun', 'jameica',
                              'java', 'duesseldorf', 'dumont', 'zzenegal', 'zZig'])

In [267]: many_words = words.take(np.random.random_integers(words.size - 1,
                                                            size=1000))
# convert to pandas Series
In [268]: s = pd.Series(many_words)

# show which words are in the Series
In [269]: s.value_counts()
Out[269]: 
zZig           127
Camerun        127
Aasia          116
canada         115
dumont         110
jameica        109
zzenegal       108
java           105
duesseldorf     83

# using vectorized string methods to count all words with same first two
# lower case strings as an example
In [270]: s.str.lower().str[:2].value_counts()
Out[270]: 
ca    242
zz    235
ja    214
du    193
aa    116

Pandas使用numpy和matplotlib，但会让事情变得更方便。

您可以像这样简单地绘制结果：

In [26]: s = pd.Series({'aa':4, 'ca':6, 'ja':9, 'du':10, 'zz':1})

In [27]: s.plot(kind='bar', rot=0)
Out[27]: <matplotlib.axes.AxesSubplot at 0x5720150>

pandas bar

Answer 2

也许这会给你一个开始（在ipython --pylab中制作）：

In [1]: from itertools import count

In [2]: prefixes = {'aa':4, 'ca':6, 'ja':9, 'du':10, 'zz':1}

In [3]: bar(*zip(*zip(count(), prefixes.values())))
Out[3]: <Container object of 5 artists>

In [4]: xticks(*zip(*zip(count(0.4), prefixes)))

The result

常用字符串前缀的直方图

2 个答案: