Пример #1
0
 def appendCatsNonSimilar(self, small, large, num):    
     analyzer = staticAnalysis(self.path)
     analyzer.statisticSummary()
     if (num != 0):
         self.select.extend(analyzer.rangeCategoriesNonSimilarTo(small, large, num, self.select))
     else:
         self.select.extend(analyzer.rangeCategoriesNonSimilarTo(small, large, 0, self.select))
Пример #2
0
 def setCatsSimilar(self, small, large, num):
     analyzer = staticAnalysis(self.path)
     analyzer.statisticSummary()
     if (num != 0):
         self.select = analyzer.rangeCategoriesSimilar(small, large, num)
     else:
         self.select = analyzer.rangeCategoriesSimilar(small, large, 0)
Пример #3
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 def setCatsNonSimilarForReplace(self, small, large, num):    
     analyzer = staticAnalysis(self.path)
     analyzer.statisticSummary()
     if (num != 0):
         self.select = analyzer.rangeCategoriesNonSimilarTo(small, large, num, self.select)
     else:
         self.select = analyzer.rangeCategoriesNonSimilarTo(small, large, 0, self.select)
Пример #4
0
# -*- coding: utf-8 -*-
"""
Created on Thu May 10 18:16:51 2018

@author: hangz
"""

from statistic import staticAnalysis
import numpy as np

analyzer = staticAnalysis('Mammalia')

analyzer.statisticSummary()
print('--------------------------------------------------------------')
#analyzer.printNum()
analyzer.printSum()
#print( analyzer.greaterThanCategories(200,0) )
#print( analyzer.smallerThanCategories(50,0) )

#print(analyzer.rangeCategories(0, 100, 0))
#print(analyzer.rangeCategories(100, 200, 0))
print(analyzer.greaterThanCategories(1000, 0))