I need to parse a Python file by breaking it into blocks matching
indentation levels so that function definitions, for loops, and
classes are kept together as blocks. For example, if I have something
like
from scipy import*
from pylab import*
g = .6
Input_freq = 10.0
def load_data(path):
data = loadtxt(path, skiprows = 1)
t = data[:,0]
Input = data[:,1]
Output = data[:,2]
return t,Input,Output
def time_plot(x,y,n = 1):
figure(n)
clf()
for curx, cury in zip(x,y):
plot(curx,cury)
title('Time Plot')
xlabel('time')
ylabel('f(t)')
legend(['Input','Output'],1)
return figure(n)
t, Input, Output = load_data('system_data.txt')
I would like the blocks to be
block1 = ['from scipy import*', 'from pylab import*', 'g =
.6','Input_freq = 10.0']
block2 = ['def load_data(path):',
' data = loadtxt(path, skiprows = 1)',
' t = data[:,0]',
' Input = data[:,1]',
' Output = data[:,2]',
' return t,Input,Output']
and so on.
I think the parser module should enable me to do this, but I can't
seem to figure it out. Specifically, I think I need to use
parser.sequence2ast, but it doesn't work the way I think it should and
I can't find more documentation on it or an example that uses it.
I tried
f = open('Example.py','r')
mylines = f.readlines()
parser.sequence2ast(mylines)
but got a ParserError.
Is there an easy way to do what I need?
Thanks,
Ryan
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