maltesfs.py

sfs = \
  { 85 :
    ( [0.95617099, 0.98714551, 0.99361968, 0.99408548, 0.99204587, 0.98841333, 0.98500286, 0.97534348, 0.96136223]
    , [0.03710116, 0.02633072, 0.02063171, 0.01902221, 0.01937137, 0.02081765, 0.02292637, 0.028201  , 0.03913084]
    )
  , 77 :
    ( [0.93823731, 0.97854429, 0.98946603, 0.99257377, 0.99242997, 0.9900205 , 0.98557863, 0.97630212, 0.96181532]
    , [0.04441166, 0.03186527, 0.02559801, 0.02368832, 0.0235613 , 0.02423579, 0.02631812, 0.03026861, 0.04193616]
    )
  , 70 :
    ( [0.93130643, 0.97579053, 0.98871129, 0.99345521, 0.99371428, 0.99054955, 0.985689  , 0.97748106, 0.96042681]
    , [0.05137921, 0.03773839, 0.03049419, 0.02800672, 0.02750021, 0.02798038, 0.02918213, 0.03279679, 0.04444615]
    )
  , 60 :
    ( [0.92953412, 0.97791126, 0.98965204, 0.99399093, 0.99467303, 0.99111133, 0.98480051, 0.97370984, 0.95120482]
    , [0.06677019, 0.04839836, 0.03894825, 0.03516833, 0.0340542 , 0.03445095, 0.03611809, 0.03987809, 0.0520149 ] 
    )
  }

import numpy

csvsfs = \
  { k :
    numpy.genfromtxt \
    ( "MC_WP_%d_WP.csv" % k
    , delimiter=","
    , names=True
    )

    for k in [ 85 , 77 , 70 , 60 ]
  }