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  #1  
Old January 7th, 2013, 04:14 PM
danipoak danipoak is offline
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Data processing script

I am rather new to programming and I am currently trying to write a script to help me process some data. The file with the data I am trying to process is a little lengthy so I have it uploaded to my dropbox as a text document here. What I am trying to do is have the script search for the variable "surface 101", "surface 105" etc. and then store the data located in the very next line so that I can eventually graph it. I first successfully made a script to read one entry but now I want to expand it so that it will continue reading all of the data. The first script looks like this:
Code:
def reports(output):
        with open(output) as f:
               
         #r is a variable used to help find the point where the results start.
         #two lines after 'cell 1' is the energy and intensity values

         r = str(' surface  101')

         c = 0 #intilizes the c variable used in the while loop
         #The following while loop skips each line until it comes across the line defined in r

         while c != r:
                 line = f.readline()
                 c = line.strip()
         
         line = f.readline() #reads the energy, intensity and SEM
         tally = []
         SEM = []
         numbers = line.strip().split() 
         tally.append(numbers[0])
         SEM.append(numbers[1])
      
         print(tally)


I have now added a second while loop to hopefully continue running the script until all "surface XX" variables are recorded and it looks like this:
Code:
def reports(output):
        with open(output) as f:
               
         #r is a variable used to help find the point where the results start.
         count = 1
         x = 101
         r = str('surface  101')

         c = 0 #intilizes the c variable used in the while loop
         #The following while loop skips each line until it comes across the line defined in r
         while count < 11
            
            while c != r:
                 line = f.readline()
                 c = line.strip()
            
            count += 1
            x += 4
            line = f.readline() #reads the energy and SEM
            tally = []
            SEM = []
            numbers = line.strip().split() 
            tally.append(numbers[0])
            SEM.append(numbers[1])
         

         print(tally)
         print(SEM)



I have two questions regarding this second piece of code.
1. the r variable is currently defined as
Code:
r = str('surface  101')

I believe I need to set it so that the "101" becomes whatever x is but I am not sure how to reference the variable x

2. Does it look like I am on the right track for what I am trying to accomplish? I hope this all makes sense. I am so new to programming it is difficult to explain what I am trying to do. Thanks!

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  #2  
Old January 7th, 2013, 04:44 PM
danipoak danipoak is offline
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Just as I continue to work on this I think I MIGHT have figured out how to reference the x variable inside of my r variable. When I run the script however I do come up with the following error:
Code:
>>> from report_test import reports
>>> reports('test.txt')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "report_test.py", line 22, in reports
    tally.append(numbers[0])
IndexError: list index out of range


This is my new updated code:
Code:
def reports(output):
        with open(output) as f:
               
         #r is a variable used to help find the point where the results start.
         count = 1
         x = 101
         r = str('surface  %d' % x)

         c = 0 #intilizes the c variable used in the while loop
         #The following while loop skips each line until it comes across the line defined in r
         while count < 11:
            
                while c != r:
                    line = f.readline()
                    c = line.strip()
            
                
                line = f.readline() #reads the energy and SEM
                tally = []
                SEM = []
                numbers = line.strip().split() 
                tally.append(numbers[0])
                SEM.append(numbers[1])
                count += 1
                x += 4
         

         print(tally)
         print(SEM)


Thanks!

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  #3  
Old January 7th, 2013, 07:33 PM
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Sorry, where's your input file please?

Usually gawk is a better language to use for this sort of task. Python will work. Because the string is already a string,

r = str('surface %d' % x)

is effectively the same as

r = 'surface %d'%x
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Old January 7th, 2013, 08:36 PM
danipoak danipoak is offline
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Thanks for your reply. I have no idea what happened to the input file link. Would it have been removed because I don't have enough posts yet? Gawk would be better but the end goal of this is to graph all the data which I believe python will be better for. I have this section working now with your help and this is what it looks like:
Code:
def reports(output):
        with open(output) as f:
               
         
         count = 1                  #this defines the number of tallies in the output file
         x = 101                    #this is the first surface number
         r = str('surface  %d' % x) #r is a variable used to help find the point where the results start.

         c = 0 #intilizes the c variable used in the while loop
         #The following while loop skips each line until it comes across the line defined in r
         tally = []
         SEM = []
         while count < 11:
            
                while c != r:
                    line = f.readline()
                    c = line.strip()
            
                
                line = f.readline() #reads the energy and SEM
                numbers = line.strip().split() 
                tally.append(numbers[0])
                SEM.append(numbers[1])
                count += 1
                x += 4
                r = str('surface  %d' %x)
         
         print(tally)
         print(SEM)


I THINK with what I have here building the rest of the data should be fairly straightforward and I have a good example to build off for graphing it but there's a good chance I'll come running back here soon for more help :P Thanks again for you quick help!

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  #5  
Old January 7th, 2013, 08:51 PM
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post dot your dot link dot cleverly dot com

I usually write data files then plotted with gnuplot. Many steps, many processes, nice graphs.

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  #6  
Old January 7th, 2013, 08:53 PM
danipoak danipoak is offline
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OK this is the last issue before I start graphing the data. Here is what I have:
Code:
def reports(output):
        with open(output) as f:
               
         
         count = 1                  #this defines the number of tallies in the output file
         x = 101                    #this is the first surface number
         r = str('surface  %d' % x) #r is a variable used to help find the point where the results start.
         d = 0
         c = 0 #intilizes the c variable used in the while loop
         p = 0
         y = 0
         #The following while loop skips each line until it comes across the line defined in r
         Flux = []
         SEM = []
         Depth = []
         Change = []
         while count < 11:
            
                while c != r:
                    line = f.readline()
                    c = line.strip()
            
                
                line = f.readline() #reads the energy and SEM
                numbers = line.strip().split() 
                Flux.append(numbers[0])
                SEM.append(numbers[1])
                Depth.append(d)
                p = ((Flux[0]-Flux[%s]) / Flux[0]) * 100 %y 
                Change.append(p)
                d += 4
                count += 1
                x += 4
                r = str('surface  %d' %x)
         
      
         print(SEM)
         print(Depth)


On this section:
Code:
p = ((Flux[0]-Flux[%s]) / Flux[0]) * 100 %y 

I am trying to have Flux[0] subtracted from Flux starting at 0 and increasing by 1. What I have listed here does not work.

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  #7  
Old January 7th, 2013, 08:57 PM
danipoak danipoak is offline
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Here is the input file:

https://dl [dot] dropbox [dot] com/u/14334980/test.txt

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  #8  
Old January 7th, 2013, 09:15 PM
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Warning! Alchemist converts gold to lead.

Code:
p = ((Flux[0]-Flux[-1]]) / Flux[0]) * 100


LIST[-1] # is the object at greatest index.

Flux[y]  # would work, if you also update y


Solution with gnuplot and gawk.
File named /tmp/SURF
Code:
gnuplot> plot "<gawk 'a{print;a=0}($1==\"surface\")&&(2==NF){a=1}' /tmp/SURF" u ($0):1 w l

Last edited by b49P23TIvg : January 7th, 2013 at 10:18 PM.

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  #9  
Old January 7th, 2013, 09:24 PM
danipoak danipoak is offline
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So this is output using the -1 method:

Code:
>>> from report_test import reports
>>> reports('o')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "report_test.py", line 29, in reports
    p = ((Flux[0]-Flux[-1]) / Flux[0]) * 100 
TypeError: unsupported operand type(s) for -: 'str' and 'str'


So it looks like it doesn't like me subtracting a string from a string right? Can I convert these to integers or is there another syntax for subtracting strings?

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  #10  
Old January 7th, 2013, 09:33 PM
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oops. My programs work better if I test them first.

You'll need float(string)

Code:
            p = '%g'%(100*((float(Flux[0])-float(Flux[-1])) / float(Flux[0])))

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Old January 7th, 2013, 09:55 PM
danipoak danipoak is offline
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Quote:
Originally Posted by b49P23TIvg
oops. My programs work better if I test them first.

You'll need float(string)

Code:
            p = '%g'%(100*((float(Flux[0])-float(Flux[-1])) / float(Flux[0])))


Thanks it works!

So what does the '%g'% do? I understand adding the floats but not the other one.

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Old January 7th, 2013, 10:13 PM
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Converts the number back to a string.

new string format

old string format

Must be a better description in the tutorial.

Code:
   NB. www.jsoftware.com  j session

   NB. find best fit  y = a exp(b x)

   NB. A are the data
   A=:0".'2.25607E-04    2.51727E-04    2.04769E-04    1.60019E-04    1.22105E-04    9.10189E-05    6.63603E-05    4.74191E-05    3.32884E-05    2.30198E-05 '

   A=: }. A  NB. behead the vector to remove the bad point.

   [COEF=:(^. %. i.@:# ^/ 0 1"_)A  NB. find coefficients of linear fit to log data
_8.17403 _0.301005

   fit=: ^@:(COEF&p.)  NB. verb fit

   # A  NB. tally A
9
   i. 9  NB. integers
0 1 2 3 4 5 6 7 8

   fit i. # A
0.00028188 0.000208612 0.000154388 0.000114259 8.456e_5 6.25807e_5 4.63144e_5 3.4276e_5 2.53668e_5


   <.0.5+100*(%~ (- fit@:i.@:#)) A  NB. percent error of the fit
_12 _2 4 6 7 6 2 _3 _10

Last edited by b49P23TIvg : January 7th, 2013 at 10:15 PM.

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  #13  
Old January 8th, 2013, 05:34 PM
danipoak danipoak is offline
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Here is my latest trouble. I am trying to get the program to output a script of all of my data. Here is what it looks like right now:
Code:
def reports(output):
        with open(output) as f:
               
         
         count = 1                  #this defines the number of tallies in the output file
         x = 101                    #this is the first surface number
         r = str('surface  %d' % x) #r is a variable used to help find the point where the results start.
         d = 0 #initializes depth variable
         c = 0 #intilizes the c variable used in the while loop
         p = 0 #initializes variable for calculating percent change
         #The following while loop skips each line until it comes across the line defined in r
         Flux = []
         SEM = []
         Depth = []
         Change = []
         while count < 10:
            
                while c != r:
                    line = f.readline()
                    c = line.strip()
            
                
                line = f.readline() #reads the energy and SEM
                numbers = line.strip().split() 
                Flux.append(numbers[0])
                SEM.append(numbers[1])
                Depth.append(d)
                p = '%g'%(100*((float(Flux[0])-float(Flux[-1])) / float(Flux[0]))) #calculates percent change
                Change.append(p)
                d += 4
                count += 1
                x += 4
                r = str('surface  %d' %x)
                
                
                
         table = open('Report.txt', 'w')
         table.write('================================================================ \n')
         table.write('MCNPX Simulation For XXXXX                                       \n')
         table.write('================================================================ \n')
         table.write('================================================================ \n')	 
         table.write('Depth          Flux          %Reduction          SEM             \n')
         table.write('================================================================ \n')
         a=0
         while a < 100: #this value is equal to the number of tallies
                table.write(str(Depth[a].ljust(20)) + '     ' +
                         str(Flux[a].ljust(20)) + '     ' +
                         str(Change[a].ljust(20)) + '     ' +
                         str(SEM[a]) + '\n')
                a = a + 1

         print('Report created')
         table.close()

        


This is what happens when I run it:

Code:
>>> from report_test import reports
>>> reports('o')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "report_test.py", line 49, in reports
    float(SEM[a]) + '\n')
AttributeError: 'int' object has no attribute 'ljust'


I have tried adding on the .ljust to the SEM variable as well but the error is exactly the same with that. The section I added that is causing the error is this:

Code:
table = open('Report.txt', 'w')
         table.write('================================================================ \n')
         table.write('MCNPX Simulation For XXXXX                                       \n')
         table.write('================================================================ \n')
         table.write('================================================================ \n')	 
         table.write('Depth          Flux          %Reduction          SEM             \n')
         table.write('================================================================ \n')
         a=0
         while a < 100: #this value is equal to the number of tallies
                table.write(str(Depth[a].ljust(20)) + '     ' +
                         str(Flux[a].ljust(20)) + '     ' +
                         str(Change[a].ljust(20)) + '     ' +
                         str(SEM[a]) + '\n')
                a = a + 1

         print('Report created')
         table.close()

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  #14  
Old January 8th, 2013, 05:59 PM
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Try this program. Mostly I only moved some right parentheses to the left a bit. Your report headings should include dimensions. % is the only one you show.
Code:
def reports(output):
    with open(output) as f:
        count = 1                  #this defines the number of tallies in the output file
        x = 101                    #this is the first surface number
        r = str('surface  %d' % x) #r is a variable used to help find the point where the results start.
        d = 0 #initializes depth variable
        c = 0 #intilizes the c variable used in the while loop
        p = 0 #initializes variable for calculating percent change
        #The following while loop skips each line until it comes across the line defined in r
        Flux = []
        SEM = []
        Depth = []
        Change = []
        while count < 10:
               while c != r:
                   line = f.readline()
                   c = line.strip()
               line = f.readline() #reads the energy and SEM
               numbers = line.strip().split()
               Flux.append(numbers[0])
               SEM.append(numbers[1])
               Depth.append(d)
               p = '%g'%(100*((float(Flux[0])-float(Flux[-1])) / float(Flux[0]))) #calculates percent change
               Change.append(p)
               d += 4
               count += 1
               x += 4
               r = str('surface  %d' %x)
        table = open('Report.txt', 'w')
        table.write('================================================================ \n')
        table.write('MCNPX Simulation For XXXXX                                       \n')
        table.write('================================================================ \n')
        table.write('================================================================ \n')
        table.write('Depth          Flux          %Reduction          SEM             \n')
        table.write('================================================================ \n')
        for (D,F,C,S,) in zip(Depth,Flux,Change,SEM,):    ####### zip is roughly a matrix transposition.
            table.write(str(D).ljust(20) + '     ' +
                        str(F).ljust(20) + '     ' +
                        str(C).ljust(20) + '     ' +
                        str(S) + '\n')

        print('Report created')
        table.close()

Last edited by b49P23TIvg : January 8th, 2013 at 06:03 PM.

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Old January 8th, 2013, 06:45 PM
danipoak danipoak is offline
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Quote:
Originally Posted by b49P23TIvg
Try this program. Mostly I only moved some right parentheses to the left a bit. Your report headings should include dimensions. % is the only one you show.


Well that works nicely. I really appreciate your help. You're making my life too easy! So did the error have something to do with the variables being strings and it wanted them to be integers? I like your approach of putting the data in a matrix and using a for loop as opposed to a while loop. It certainly makes the code more robust. I do know I need to put units on the report I was going to research to see if there was another way to go about it. For example the units of flux are neutrons/(cm^2*s) which looks a little messy. I was going to see if there was a way to output the report as a .pdf file rather than a .txt and somehow use special characters like sub and superscripts. No idea if that is possible at this point or if it would involve more coding than I want to do. Next step is getting it to graph and then I can modify this to create a couple different types of reports I need with ease.

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