1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950 |
- Post Statistics
- ==================
- A Pelican plugin to calculate various statistics about a post and store them in an article.stats dictionary:
- - ``wc``: how many words
- - ``read_mins``: how many minutes would it take to read this article, based on 250 wpm (http://en.wikipedia.org/wiki/Words_per_minute#Reading_and_comprehension)
- - ``word_counts``: frquency count of all the words in the article; can be used for tag/word clouds
- - ``fi``: Flesch-kincaid Index/ Reading Ease (see: http://en.wikipedia.org/wiki/Flesch%E2%80%93Kincaid_readability_tests)
- - ``fk``: Flesch-kincaid Grade Level
- Example:
- .. code-block:: python
- {
- 'wc': 2760,
- 'fi': '65.94',
- 'fk': '7.65',
- 'word_counts': Counter({u'to': 98, u'a': 90, u'the': 83, u'of': 50, ...}),
- 'read_mins': 12
- }
- This allows you to output these values in your templates, like this, for example:
- .. code-block:: html+jinja
- <p title="~{{ article.stats['wc'] }} words">~{{ article.stats['read_mins'] }} min read</p>
- <ul>
- <li>Flesch-kincaid Index/ Reading Ease: {{ article.stats['fi'] }}</li>
- <li>Flesch-kincaid Grade Level: {{ article.stats['fk'] }}</li>
- </ul>
- The ``word_counts`` variable is a python ``Counter`` dictionary and looks something like this, with each unique word and it's frequency:
- .. code-block:: python
- Counter({u'to': 98, u'a': 90, u'the': 83, u'of': 50, u'karma': 50, .....
- and can be used to create a tag/word cloud for a post.
- Requirements
- ----------------
- `post_stats` requires BeautifulSoup.
- .. code-block:: console
- $ pip install beautifulsoup4
|