gistfile1.txt

import io
import pandas as pd

a = """[[ 0.96725219  0.01808783  0.63087793  0.45407222  0.30586779  0.04848813
   0.01797095]
 [ 0.87762897  0.07705762  0.33049588  0.91429797  0.5776607   0.18207652
   0.2355932 ]
 [ 0.68803166  0.31540537  0.92606902  0.83542726  0.43457601  0.44952604
   0.35121332]
 [ 0.14366487  0.23486924  0.16421432  0.27709387  0.19646975  0.8243488
   0.37708642]
 [ 0.07594925  0.36608386  0.02087877  0.07507932  0.40005067  0.84625563
   0.62827931]
 [ 0.63662663  0.41408688  0.43447501  0.22135816  0.58944708  0.66456168
   0.5871466 ]
 [ 0.16807584  0.70981667  0.18597074  0.02034372  0.94706437  0.61333699
   0.8444439 ]]"""

pd.read_csv(io.StringIO(re.sub(r'[\[\]]+', '', a)), 
            
            header=None, delim_whitespace=True).values
            
            
# Result

array([[ 0.96725219,  0.01808783,  0.63087793,  0.45407222,  0.30586779,
         0.04848813],
       [ 0.01797095,         nan,         nan,         nan,         nan,
                nan],
       [ 0.87762897,  0.07705762,  0.33049588,  0.91429797,  0.5776607 ,
         0.18207652],
       [ 0.2355932 ,         nan,         nan,         nan,         nan,
                nan],
       [ 0.68803166,  0.31540537,  0.92606902,  0.83542726,  0.43457601,
         0.44952604],
       [ 0.35121332,         nan,         nan,         nan,         nan,
                nan],
       [ 0.14366487,  0.23486924,  0.16421432,  0.27709387,  0.19646975,
         0.8243488 ],
       [ 0.37708642,         nan,         nan,         nan,         nan,
                nan],
       [ 0.07594925,  0.36608386,  0.02087877,  0.07507932,  0.40005067,
         0.84625563],
       [ 0.62827931,         nan,         nan,         nan,         nan,
                nan],
       [ 0.63662663,  0.41408688,  0.43447501,  0.22135816,  0.58944708,
         0.66456168],
       [ 0.5871466 ,         nan,         nan,         nan,         nan,
                nan],
       [ 0.16807584,  0.70981667,  0.18597074,  0.02034372,  0.94706437,
         0.61333699],
       [ 0.8444439 ,         nan,         nan,         nan,         nan,
                nan]])