rasbt / mlxtend / 2017

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add support for newer pandas sparse dataframes in frequent_patterns (#621)

* add support for newer pandas sparse dataframes in frequent_patterns

SparseDataFrame has been deprecated, pandas now recommands to create
standard DataFrames and store sparse Series as SparseArray.  This
allows to combine both dense and sparse columns.

Improve valid_input_check with sparse values; it previously uncompressed
the whole dataframe to check for invalid values, which defeats its purpose.
It now only checks existing values, which prevents memory error, and is
also much faster.

Update apriori.ipynb notebook to use the new pandas sparse DataFrame.

* use pandas version number to detect new sparse dataframes

* limitations on columns of sparse DaraFrame still apply

Contrary to what I thought in 0a8fa8f, this issue is still not fixed.

* fix bug introduced by commit 22915a8 with empty DataFrame

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