[portland] Need Help With a For Loop

[Rich Shepard]

On Fri, 21 Mar 2008, kirby urner wrote:

> OK, so here's my solution, using only basic Python:

>    starting = True

   ...
>            starting = False

Kirby,

   The flag was the key. I've used flags for control in C code so I don't
know why it did not occur to me to use one in the Python code. But, it
didn't.

   I cleaned up the code significantly, Dylan, and now have to fix some
problems with the plotting functions and matplotlib itself. But, all you
lifted me out of the rut, and I greatly appreciate it.

   The working code is attached.

Carpe weekend,

Rich

-- 
Richard B. Shepard, Ph.D.               |  Integrity            Credibility
Applied Ecosystem Services, Inc.        |            Innovation
<http://www.appl-ecosys.com>     Voice: 503-667-4517      Fax: 503-667-8863
-------------- next part --------------
#!/usr/bin/env python

import os, config, functions
import matplotlib
import matplotlib.numerix as nx
import pylab

varData = [("Low","Variety","Fish","Wildlife","Decay S-Curve",1,0.0,100.0,0.0,50.0,0.0,50.0,50.0,50.0,100.0,1.0,2),
("High","Variety","Fish","Wildlife","Growth S-Curve",2,0.0,100.0,0.0,50.0,0.0,100.0,50.0,50.0,100.0,1.0,2),
("Low","HabitatComplexity","Terrestrial","Wildlife","Decay S-Curve",1,0.0,100.0,0.0,50.0,0.0,50.0,50.0,50.0,100.0,1.0,2),
("High","HabitatComplexity","Terrestrial","Wildlife","Growth S-Curve",2,0.0,100.0,0.0,50.0,0.0,100.0,50.0,50.0,100.0,1.0,2),
("Low","Variety","Terrestrial","Wildlife","Decay S-Curve",1,50.0,50.0,0.0,100.0,0.0,0.0,50.0,50.0,100.0,1.0,2),
("High","Variety","Terrestrial","Wildlife","Growth S-Curve",2,0.0,100.0,0.0,50.0,0.0,50.0,50.0,100.0,100.0,1.0,2),
("Low","HabitatComplexity","Fish","Wildlife","Decay S-Curve",1,0.0,100.0,0.0,50.0,0.0,50.0,50.0,0.0,100.0,1.0,2),
("High","HabitatComplexity","Fish","Wildlife","Growth S-Curve",2,0.0,100.0,0.0,50.0,0.0,50.0,50.0,100.0,100.0,1.0,2),
("Low","SpecialConcern","Fish","Wildlife","Decay S-Curve",1,0.0,50.0,0.0,50.0,0.0,50.0,50.0,0.0,50.0,1.0,3),
("Moderate","SpecialConcern","Fish","Wildlife","Bell Curve",2,0.0,100.0,0.0,100.0,0.0,50.0,50.0,50.0,50.0,1.0,3),
("Many","SpecialConcern","Fish","Wildlife","Growth S-Curve",3,50.0,100.0,50.0,50.0,0.0,100.0,50.0,100.0,50.0,1.0,3)]

def testCode():
  for row in varData:
    curComp = row[3]
    curSub = row[2]
    curVar = row[1]
    
    plotting = False
    plotting = True

    if plotting:
      pylab.hold(True)
      if row[4] == 'Decay S-Curve':
        functions.zCurve(row[10],row[9])
      elif row[4] == 'Bell Curve':
        functions.gaussCurve(row[13],row[14])
      elif row[4] == 'Growth S-Curve':
        functions.sCurve(row[8],row[11])
      elif row[4] == 'Beta':
        functions.betaCurve(row[13],row[12],row[14])
      elif row[4] == 'Data':
        continue
      elif row[4] == 'Linear Increasing':
        functions.linearIncrCurve(row[8],row[11])
      elif row[4] == 'Linear Decreasing':
        functions.linearDecrCurve(row[10],row[9])
      elif row[4] == 'Left Shoulder':
        functions.leftShoulderCurve(row[10],row[11],row[9])
      elif row[4] == 'Trapezoid':
        functions.trapezoidCurve(row[8],row[10],row[11],row[9])
      elif row[4] == 'Right Shoulder':
        functions.rightShoulderCurve(row[8],row[10],row[11])
      elif row[4] == 'Triangle':
        functions.triangleCurve(row[8],row[13],row[9])
      elif row[4] == 'Singleton':
        functions.singletonCurve(row[13],row[14])
      elif row[4] == 'Rectangle':
        functions.rectangleCurve(row[8],row[10],row[11],row[9])
      elif row[4] == 'Outcome':
        functions.outcomeCurve()

    print "Current curve: ", row[5], '\t', "Max. curves: ", row[16]
    if row[5] == row[16]:
      plotting = False
      pylab.savefig(curVar+'.png')
      pylab.hold(False)

      
if __name__ == "__main__":
  testCode()