Hi there,
I would like to make a new plot with new data over the old one (with
old/first data) in the same condition (shape, dimensions....) for
comparison and analysis data.
With your help, I have a good script from the previous discussion:
**********
from pylab import *
import numpy
import matplotlib.pyplot as pyplot
import matplotlib.mlab as mlab
with open("ourtest_out.list", "r") as f:
z = numpy.array([float(v) for v in f.readline().split()[1:]])
a = numpy.loadtxt("ourtest_out.list", skiprows=3)
N = 100
Conc = a[0:, N+1:]
print len(Conc[0]) == len(z)
figure()
pyplot.plot(Conc[0],z,'r-',label='initial')
pyplot.plot(Conc[1],z,'b-',label='after 20s')
show()
*********
I have tried to make subplot for this case as follows:
pyplot.subplot(111)
pyplot.plot(Conc[0],z,'r-',label='initial')
pyplot.plot(Conc[1],z,'b-',label='after 20s')
However, I am not sure how to add new data over this to make a graph
including both new and old data simultaneously.
I do appreciate for any advice.
Thank you,
Sue
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