releases: 8575785

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https://github.com/simonw/csvs-to-sqlite/releases/tag/0.5 8575785 MDc6UmVsZWFzZTg1NzU3ODU= 0.5 master csvs-to-sqlite 0.5 0 9599 0 2017-11-19T05:11:27Z 2017-11-19T05:53:25Z [] ## Now handles columns with integers and nulls in correctly Pandas does a good job of figuring out which SQLite column types should be used for a DataFrame - with one exception: due to a limitation of NumPy it treats columns containing a mixture of integers and NaN (blank values) as being of type float64, which means they end up as REAL columns in SQLite. http://pandas.pydata.org/pandas-docs/stable/gotchas.html#support-for-integer-na To fix this, we now check to see if a float64 column actually consists solely of NaN and integer-valued floats (checked using v.is_integer() in Python). If that is the case, we over-ride the column type to be INTEGER instead. See #5 - also a8ab524 and 0997b7b 110509816
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