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Kenneth Reitz
211 lines
5.7 KiB
HTML
211 lines
5.7 KiB
HTML
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<title>Tablib Dataset Library v0.6.1 Released!</title>
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<h1>
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<a href=".">Kenneth's log </a>
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<article>
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<header> <h1 class="entry-title"><a href="tablib-dataset-library-v061-released.html"
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rel="bookmark" title="Permalink to Tablib Dataset Library v0.6.1 Released!">Tablib Dataset Library v0.6.1 Released!</a></h1> </header>
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<div class="entry-content">
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<footer class="post-info">
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<abbr class="published" title="2010-09-13T01:22:00">
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Mon 13 September 2010
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</abbr>
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<p>In <a href="./category/Code.html">Code</a>.
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</p>
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</footer><!-- /.post-info -->
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<p>I'm pleased to announce a new Python module:
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<a class="reference external" href="http://github.com/kennethreitz/tablib">Tablib</a>. Tablib is a
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simple module for working with tabular datasets. It allows you
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create tables of data using standard Python datatypes, manipulate
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them, and easily export to Excel, JSON, YAML, and CSV. **Basic
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Usage**: import tablib</p>
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<pre class="literal-block">
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headers = ('first_name', 'last_name', 'gpa')
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data = [('John', 'Adams', 90), ('George', 'Washington', 67)]
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data = tablib.Dataset(*data, headers=headers)
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</pre>
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<p>You can maniuplate your data like a standard Python list: >>>
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data.append(('Henry', 'Ford', 83))</p>
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<pre class="literal-block">
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>>> print data['first_name']
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['John', 'George', 'Henry']
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>>> del data[1]
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</pre>
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<p>You can easily export your data to JSON, YAML, XLS, and CSV. >>>
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print data.json [{"first_name": "John", "last_name": "Adams",
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"gpa": 90}, {"first_name": "Henry", "last_name": "Ford", "gpa":
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83}]</p>
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<pre class="literal-block">
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>>> print data.yaml
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- {age: 90, first_name: John, last_name: Adams}
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- {age: 83, first_name: Henry, last_name: Ford}
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>>> print data.csv
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first_name,last_name,age
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John,Adams,90
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Henry,Ford,83
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>>> open('people.xls', 'w').write(data.xls)
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</pre>
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<p>Excel files with multiple sheets are also supported (via the
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`DataBook` object).
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[<a class="reference external" href="http://github.com/kennethreitz/tablib">Source on GitHub</a>]
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[<a class="reference external" href="http://pypi.python.org/pypi/tablib">PyPi Listing</a>]</p>
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© 2011 Kenneth Reitz & co. All Rights Reserved.
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