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Bar Chart of Common String Prefixes

So, I made myself a good dictionary of word prefixes, but now I would like to convert it into a beautiful histogram with matplotlib. I am new to the whole matplot scene and I have not seen any other related questions.

Here is an example of what my dictionary looks like

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

I would use pandas for this, as it built into 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 uses numpy and matplotlib , but makes some things more convenient.

You can simply build your results as follows:

 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

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Perhaps this will give you a start (done in ipython --pylab ):

 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

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