[Tutor] reading data

[chris Hynes]

I have a data file in which the first line is made up of words. Here is the original data file:

#Column density-scaled with production rate 3.16227766016838e+25
-10.0000 0.000e+00  0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 
-9.9000 0.000e+00  0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 

I'd like to my program to skip any lines that begin with words and move on to lines that contain numbers. Right now I just cheat and delete the first line and resave the data file, but I was hoping that I could avoid these types of things in the future. Here is my code for reading the file and figuring out how many rows and columns to dimensionalize my array, then I read the data into the array:

from numpy import *
row=0
columnindex=0
x=open('halfmethanol.col','rt')
for line in x.readlines(): 
    data=line.split()
    columnindex=len(data)
    row=row+1
temp=ones((row,columnindex))
row=0
x=open('halfmethanol.col','rt')
for line in x.readlines():
    data=line.split()
    for column in range(columnindex):
        temp[row,column]=data[column]
    row=row+1

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