>>>>> "Selbourne" == Selbourne makhomo <(E-Mail Removed)> writes:

Selbourne> Could you please help me with the following graphs:

Selbourne> 1. python graph that reads in (x,y) data from a file

Selbourne> 2. modify the program to draw a graph of the function

Selbourne> using wxpython 3. python graph that performs a linear

Selbourne> least squares regression, which fits a straight line

Selbourne> through the points 3. plot the straight line in a

Selbourne> different colour to the original graph connecting the

Selbourne> points.

Selbourne> I will appreciate your assistance in this regard.

There are a number of ways to do it, eg, scipy contains everything you

need to do it.

Here is an example script using matplotlib. matplotlib works with wx

(and other GUI toolkits). I'm assuming your data are in two ASCII

columns for x and y.

from matplotlib.matlab import *

data = load('xydata.dat')

x = data[:,0]

y = data[:,1]

#m and b are the best bit slope and intercept

m,b = polyfit(x,y,1) # a line is a 1st order polynomial

# blue dots and red solid line

plot(x, y, 'b.', x, 3*x + b, 'r-')

title('best fit line to noisy data')

xlabel('x')

ylabel('y')

show()

You can select wx as your default in the configuration file

..matplotlibrc, or from the command line. Here is a screenshot of the

result in a wx window

http://nitace.bsd.uchicago.edu:8080/...e/best_fit.png
The function polyfit is defined in matplotlib.mlab (matplotlib.matlab

imports all these functions too) and does general polygon fitting . A

line is simplest case where the order of the polygon is 1.

If you want to embed matplotlib in a wx application, rather than

simply use it from the shell or in a script, see the

examples/embedding_in_wx.py that comes with the matplotlib src

distribution.

http://matplotlib.sourceforge.net/
Good luck!

John Hunter