Importing data and variable names from a text file in Python -

i have text file containing simulation data (60 columns, 100k rows):

a  b   c   1  11 111 2  22 222 3  33 333 4  44 444 

... in first row variable names, , beneath (in columns) corresponding data (float type).

i need use these variables data in python further calculations. example, when insert:

print(b) 

i need receive values second column.

i know how import data:

data=np.genfromtxt("1.txt", unpack=true, skiprows = 1) 

assign variables "manually":

a,b,c=np.genfromtxt("1.txt", unpack=true, skiprows = 1) 

but i'm having trouble getting variable names:

reader = csv.reader(open("1.txt", "rt")) row in reader:     list.append(row) variables=(list[0])   

how can change code variable names first row , assign them imported arrays ?

instead of trying assign names, might think using associative array, known in python dict, store variables , values. code (borrowing liberally csv docs):

import csv open('1.txt', 'rt') f:   reader = csv.reader(f, delimiter=' ', skipinitialspace=true)    linedata = list()    cols = next(reader)   print(cols)    col in cols:     # create list in linedata each column of data.     linedata.append(list())     line in reader:     in xrange(0, len(linedata)):       # copy data line correct columns.       linedata[i].append(line[i])    data = dict()    in xrange(0, len(cols)):     # create each key in dict data in column.     data[cols[i]] = linedata[i]  print(data) 

data contains each of variables, can accessed via data['varname'].

so, example, data['a'] list ['1', '2', '3', '4'] given input provided in question.

i think trying create names based on data in document might rather awkward way this, compared dict-based method shown above. if want that, though, might reflection in python (a subject don't know about).