The Array Emitter Module

The Array Emitter module provides :class:diogenes.array_emitter.ArrayEmitter, which generates tables digestable by Scikit-Learn from RG-formatted (transposed) tables. See class documentation for details



In [4]:

    
import diogenes

rg_table_csv = (
"""student_id,start_year,end_year,feature,value
0,2005,2006,math_gpa,2.3
0,2005,2006,english_gpa,4.0
0,2005,2006,absences,7
0,2006,2007,math_gpa,2.1
0,2006,2007,english_gpa,3.9
0,2006,2007,absences,8
1,2005,2006,math_gpa,3.4
1,2005,2006,absenses,0
1,2006,2007,math_gpa,3.5
1,2007,2008,english_gpa,2.4
2,2004,2005,math_gpa,2.4
2,2005,2006,math_gpa,3.4
2,2005,2006,absenses,14
2,2006,2007,absenses,96
""")

with open('sample.csv', 'w') as sample_csv_in:
    sample_csv_in.write(rg_table_csv)

ae = diogenes.array_emitter.ArrayEmitter()
ae = ae.get_rg_from_csv('sample.csv')
ae = ae.set_interval(2005, 2007)
M = ae.emit_M()
diogenes.display.pprint_sa(M)









    



  id math_gpa english_gpa absences absenses
0  0      2.2        3.95      7.5      nan
1  1     3.45         nan      nan      0.0
2  2      3.4         nan      nan     55.0



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