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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