I wasn't quite able to follow exactly what you wanted to do but maybe this
will help. I am going to generate some "data" that I think sounds a bit like
yours, write it to a file, clearly you already have this. Then I am going to
read it back in and plot it, e.g.
import matplotlib.pyplot as plt
import numpy as np
# Generate some data a little like yours, I think?
# print it to a file, i.e. I am making your myfile.txt
numrows = 100
numcols = 8
mass = np.random.normal(0, 1, (numrows * numcols)).reshape(numrows,
numcols)
f = open("myfile.txt", "w")
for i in xrange(numrows):
for j in xrange(numcols):
print >>f, mass[i,j],
print >> f
f.close()
# read the file back in
mass = np.loadtxt("myfile.txt")
# plot the 8th column
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(mass[:,7], 'r-o')
ax.set_xlabel("Time")
ax.set_ylabel("Mass")
plt.show()
I wasn't clear on the mean bit, but that is easy to do with numpy, e.g.
mean_mass = np.mean(mass[:,8])
etc.
Numpy et al is great for stuff like this.
Hope that helps,
Martin
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