Hi,
Thanks for all your help so far!
Right i think it would be easier to just show you the chart i have so far;
--
import numpy as np
import matplotlib.pyplot as plt
plt.plot([4,8,12,16,20,24], [0.008,0.016,0.021,0.038,0.062,0.116], 'bo')
plt.xlabel(F (Number of
James wrote:
Hi,
Thanks for all your help so far!
Right i think it would be easier to just show you the chart i have so far;
--
import numpy as np
import matplotlib.pyplot as plt
plt.plot([4,8,12,16,20,24], [0.008,0.016,0.021,0.038,0.062,0.116], 'bo')
On 12/8/2008 3:32 PM James apparently wrote:
I have a very simple plot, and the lines join point to point, however i
would like to add a line of best fit now onto the chart, i am really new
to python etc, and didnt really understand those links!
See the `slope_intercept` method of the OLS
Hi,
I am trying to plot a line of best fit for some data i have, is there a
simple way of doing it?
Cheers
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2008/12/8 James [EMAIL PROTECTED]:
I am trying to plot a line of best fit for some data i have, is there a
simple way of doing it?
Hi James,
Take a look at:
http://www.scipy.org/Cookbook/FittingData
http://www.scipy.org/Cookbook/LinearRegression
and the section on least square fitting
Hi James,
2008/12/8 James [EMAIL PROTECTED]:
I have a very simple plot, and the lines join point to point, however i
would like to add a line of best fit now onto the chart, i am really new
to python etc, and didnt really understand those links!
Can anyone help me :)
It sounds like the
2008/12/9 Angus McMorland [EMAIL PROTECTED]:
Hi James,
2008/12/8 James [EMAIL PROTECTED]:
I have a very simple plot, and the lines join point to point, however i
would like to add a line of best fit now onto the chart, i am really new
to python etc, and didnt really understand those links!