Consolidate plot_image.py into ./src/plot_image/.
authorW. Trevor King <wking@drexel.edu>
Tue, 14 Sep 2010 22:46:12 +0000 (18:46 -0400)
committerW. Trevor King <wking@drexel.edu>
Tue, 14 Sep 2010 22:46:12 +0000 (18:46 -0400)
src/mandelbrot/plot_image [new symlink]
src/mandelbrot/plot_image.py [deleted file]
src/monte_carlo/plot_image [new symlink]
src/plot_image/plot_image.py [moved from src/monte_carlo/plot_image.py with 100% similarity]

diff --git a/src/mandelbrot/plot_image b/src/mandelbrot/plot_image
new file mode 120000 (symlink)
index 0000000..ac79e0c
--- /dev/null
@@ -0,0 +1 @@
+../plot_image/
\ No newline at end of file
diff --git a/src/mandelbrot/plot_image.py b/src/mandelbrot/plot_image.py
deleted file mode 100644 (file)
index 09fbab1..0000000
+++ /dev/null
@@ -1,120 +0,0 @@
-#! /usr/bin/env python
-
-from __future__ import division
-from pylab import *
-import sys
-import Numeric
-
-
-#
-#   plot_image.py
-#
-#   Step 1: make this file executable
-#
-#           chmod +x plot_image.py
-#
-#   Step 2: pipe data in python script
-#
-#           ./gen_data | ./plot_image -s nx ny -c nc -t 'image title'
-#
-#   with optional arguments
-#          -s nx ,ny    image size [16x16]
-#          -c nc        number of contour levels [none]
-#          -t ' '       image title ['some like it hot']
-#
-#   additional:  -g  gray map  [jet map]
-#                -h  hot map
-#
-#   ref: matplotlib web site
-#                                             Michel Vallieres, 2007
-#
-
-                        # dummy function to initialize Z
-def func3(x,y):
-    return 0.005*x*y
-
-                        # defaults
-mycontours = 0
-nx = 16
-ny = 16
-mytitle = 'Some like it hot'
-mymap = cm.jet
-
-                        # parse command line arguments
-n = len( sys.argv )
-i = 1
-while i < n:
-    if sys.argv[i].find("s") == 1:
-        nx = int( sys.argv[i+1] )
-        ny = int( sys.argv[i+2] )
-        i = i + 2
-    elif sys.argv[i].find("c") == 1:
-        mycontours = int( sys.argv[i+1] )
-        i = i + 1
-    elif sys.argv[i].find("t") == 1:
-        mytitle = sys.argv[i+1]
-        i = i + 1
-    elif sys.argv[i].find("g") == 1:
-        mymap = cm.gray
-    elif sys.argv[i].find("h") == 1:
-        mymap = cm.hot
-    else:
-        print " Syntax:    script -s nx ny -c "
-    i = i + 1
-
-                       # identification
-print "Plot_image"
-print "Title:            ", mytitle
-print "Image size:       ", nx, ny
-print "# countour lines: ", mycontours
-
-
-                       # set grid
-x = range( nx )
-y = range( ny )
-
-X,Y = meshgrid( x, y )
-
-Z = func3( X, Y )
-
-                       # read in data
-for j in y:
-   for i in x:
-      Z[j,i] = input()
-
-                       # min & max
-min_data = Z[0,0]
-max_data = Z[0,0]
-for i in x:
-   for j in y:
-      if Z[j,i] < min_data:
-          min_data = Z[j,i]
-      if Z[j,i] > max_data:
-          max_data = Z[j,i]
-
-print "Data range:       ", min_data, max_data
-
-
-                       # colored image
-im = imshow( Z, interpolation='bilinear', origin='lower',
-            cmap=mymap, extent=(1,nx-1.0,1,ny-1.0) )
-
-                       # contour lines
-if mycontours > 0:
-    dcont = ( max_data - min_data ) / ( mycontours - 1 )
-    cset = contour( Z, arange(min_data,max_data,dcont),
-               origin='lower',
-               linewidths=2,
-               extent=(0,nx-1,0,ny-1)
-               )
-
-    clabel( cset, inline=1, fmt='%1.1f', fontsize=10 )
-
-
-                       # render picture
-axis('off')
-
-colorbar()
-title( mytitle )
-show()
-
diff --git a/src/monte_carlo/plot_image b/src/monte_carlo/plot_image
new file mode 120000 (symlink)
index 0000000..ac79e0c
--- /dev/null
@@ -0,0 +1 @@
+../plot_image/
\ No newline at end of file