常用字符串前缀的直方图

Bre*_*dly 4 python matplotlib scipy

所以我自己做了一个很好的单词前缀词典,但现在我想用matplotlib把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.

这是我的字典看起来像的一个例子

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

我会使用pandas,因为它已经构建了矢量化字符串方法:

# 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
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熊猫使用numpymatplotlib,但使一些事情更方便.

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>
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熊猫吧