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Python package for exploring and linking multiple SQL-like tables

Project description

Python package for exploring and linking multiple SQL-like tables


This package will link multiple SQL-tables together to facilitate (potentially large-scale) analysis of data from various sources. All tables are implemented using Pandas Data.Frame objects.


tab1_list = list( zip([1,2,3,4], ['M', 'F', 'M', 'F'] ) )
tab2_list = list( zip(  [1,2,3,4], ['red', 'green', 'yellow', 'blue'] ) )
tab1 = pd.DataFrame( tab1_list,   columns = ['tab1_v1', 'tab1_v2'])
tab2 = pd.DataFrame( tab2_list,   columns = ['tab2_v1', 'tab2_v2'])
tn1 = TableNode('sex', tab1)
tn2 = TableNode('preference', tab2)
ttree = TableTree(tn1)
ttree.addChildren(tn2, TableLink('tab1_v1', 'tab2_v1'))
ttree.findMatched('preference', 'sex', tn1.df.tab1_v2 == 'M')

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Files for tabletree, version 0.2.2
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