This message (and attachments) is subject to restrictions and a disclaimer. 
Please refer to http://www.unisa.ac.za/disclaimer for full details.
________________________________

Hi

I have a text file containing experimental data obtained over the course of two 
years.  The data were obtained on a daily basis.  Having inspected some of the 
data in Excel (there are over 15 000 points), I noticed that there are a couple 
of points that should not be included in the final data analysis.  I want to 
write a python programme that does the following:


1.        Creates a plot of the data taken on day 1.

2.       Allows the user to click on the "bad data" and then writes these 
points to either a text file or a list(which can then be written to a text file 
at a later stage).

3.       If all the bad data points have been selected ( or if there are no bad 
points) then, following an indication by the user (i.e. either via a key press 
event or the user clicking outside the plot area), plot the data of the next 
day.

What I want the programme to do is repeat the above steps until it reaches the 
end of the data file and then at the end, I want a text file containing the 
information of the bad points which I can then remove from the main data file 
at a later stage.  I know that one way of obtaining the information of the bad 
points is to use event handling, especially the 'button_press_event' and 
creating a MouseMonitor class.  What I'm specifically having trouble with is 
figuring out how I can get the programme to run through all the data, all the 
while keeping the 'button_press_event' connected/active and writing all the bad 
data to a text file.  Only at the end of all the data, do I want to disconnect 
the 'button_press_event' (unless of course there is a better way of doing this).

Any help will be greatly appreciated.

Thanks

Pat
------------------------------------------------------------------------------
Oracle to DB2 Conversion Guide: Learn learn about native support for PL/SQL,
new data types, scalar functions, improved concurrency, built-in packages, 
OCI, SQL*Plus, data movement tools, best practices and more.
http://p.sf.net/sfu/oracle-sfdev2dev 
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Reply via email to