add
import numpy
at the beginning of your code. Then,
y1=[Decimal('0.3041997084285048793446312110'), Decimal
('0.3041811120982812429734672735'), Decimal
('0.3041586008929715390350375366'), Decimal
('0.08256793883349254633032840545'), Decimal
('0.08255838341506859117962741714')]
(just a subset of your data)
goes to:
y1 = numpy.array([0.3041997084285048793446312110 ,
0.3041811120982812429734672735 , 0.3041586008929715390350375366 ,
0.08256793883349254633032840545 , 0.08255838341506859117962741714 ] )
with similar modifications for x1,x2,y2. This takes less place. You
do not need the decimal package in my opinion. Except if the raw
data you get is the one with the Decimal indicators.
Here my simplest code: http://dpaste.com/161149/
Now what I ask is for suggestions about turn this in better code
In what way ? What are your requirements ?
So... please make suggestions what interest to do for this code be
faster and better
Any type!
Is it too slow ? Is there a reason why you are not satisfied ?
And one question: There is a way to do in each point I draw
relative to the 'second' graph (x2,y2)
to put a specific legend?
If you want each point to have a separate legend, you should plot
them separately: a plot(x2[i:i+1),y2[i:i+1],'ro') command for i in
range(N_points).
Good plotting,
Pierre
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