82 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			82 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
| #!/bin/env python
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| __author__ = 'dongyun.zdy'
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| 
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| 
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| import sys
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| import numpy as np
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| import matplotlib as mpl
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| from matplotlib import cm
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| import matplotlib.pyplot as plt
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| from mpl_toolkits.mplot3d import Axes3D
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| import math
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| 
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| def extract_int_info_from_line(line):
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|     splited = line.split(",")
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|     line_info = []
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|     for item in splited:
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|         line_info.append(int(float(item)))
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|     return line_info
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| 
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| def case_cmp(a,b,c):
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|     if c > 1251:
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|         print c
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|     if a[c] < b[c] :
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|         return -1
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|     elif a[c] > b[c] :
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|         return 1
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|     else :
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|         return 0
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| 
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| cmp_n = [lambda x, y, z = count: case_cmp(x, y, z) for count in range(10)]
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| #cmp_n = [lambda x, y: cmp(x[count], y[count]) for count in range(10)]
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| 
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| colors = ["red", "green", "blue", "yellow", "purple", "black", "pink", "cyan", "brown", "gray"]
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| 
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| def do_plot(arg, horizen, need_columns_id,label):
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|     arrs = []
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|     for i in arg[0]:
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|         arrs.append([])
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|     for case in arg:
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|         for i in xrange(len(case)):
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|             arrs[i].append(case[i])
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| 
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|     np_arrs = [np.array(a) for a in arrs]
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|     fig = plt.figure()
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| 
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|     fig.set_size_inches((20,10))
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|     ax1 = fig.add_subplot(111)
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|     ax1.set_label(label)
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|     color_id = 0
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| 
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|     for i in xrange(len(np_arrs)):
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|         if i == horizen:
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|             continue
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|         elif i in need_columns_id:
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|             ax1.plot(np_arrs[horizen], np_arrs[i], color=colors[color_id])
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|             color_id = color_id + 1
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|     plt.show()
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| 
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| if __name__ == '__main__':
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|     #filename column_count horizen
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|     if len(sys.argv) < 4:
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|         print "wrong arg"
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|         pass
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|     else:
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|         file_name = sys.argv[1]
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|         horizen = int(sys.argv[2])
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|         file = open(file_name, "r")
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|         need_columns = sys.argv[3]
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|         if need_columns == "all":
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|             need_columns_id = [i for i in xrange(100)]
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|         else:
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|             need_columns_id = [int(i) for i in need_columns.split(",")]
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| 
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|         cases = []
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|         for line in file:
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|             if line[0] == '[' or line.startswith('#'):
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|                 continue
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|             case_param = extract_int_info_from_line(line)
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|             cases.append(case_param)
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|         cases.sort(cmp_n[horizen])
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|         do_plot(cases, horizen, need_columns_id, file)
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