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19433150
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2013-10-17T17:14:23.820
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2013-10-17T17:22:17.107
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2013-10-17T17:22:17.107
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<p>To do this, I'd not do anything complicated... I'd write the code you wanted to write. I'd use <a href="http://pythonhosted.org/dill" rel="nofollow">dill</a>, which can serialize almost anything in python.</p> <pre><code>>>> import dill >>> import datetime >>> a = [datetime.datetime(2012, 2, 1), datetime.datetime(2012, 2, 2), 'string', 4.00] >>> b = [datetime.datetime(2012, 3, 1), datetime.datetime(2012, 3, 4), 'another_string', 5.00] >>> >>> list_of_lists = [a,b] >>> >>> lol = dill.loads(dill.dumps(list_of_lists)) >>> lol [[datetime.datetime(2012, 2, 1, 0, 0), datetime.datetime(2012, 2, 2, 0, 0), 'string', 4.0], [datetime.datetime(2012, 3, 1, 0, 0), datetime.datetime(2012, 3, 4, 0, 0), 'another_string', 5.0]] >>> >>> default_date = datetime.datetime.today() >>> >>> def analyze_data(some_id, some_date=default_date): ... string_date = some_date.strftime('%Y%m%d') ... filename = '{0}_{1}.p'.format(some_id, string_date) ... return dill.loads(dill.dumps(list_of_lists)) ... >>> # no kaboom >>> analyze_data('123') [[datetime.datetime(2012, 2, 1, 0, 0), datetime.datetime(2012, 2, 2, 0, 0), 'string', 4.0], [datetime.datetime(2012, 3, 1, 0, 0), datetime.datetime(2012, 3, 4, 0, 0), 'another_string', 5.0]] </code></pre> <p>Dill also has <a href="https://github.com/uqfoundation/dill/blob/master/dill/detect.py" rel="nofollow">some good tools</a> for helping you understand what is causing your pickling to fail when your code fails.</p>
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1. POPython - cPickle nested datetime objects
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1. PTAnswer
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1. USMike McKerns
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1. USMike McKerns
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