user['keep_books'] = 1.0
else:
user['keep_books'] = float(user['keep_books'])
tmp = []
# tmp.append(user['user_name'])
tmp.append(user['mobile_number'])
tmp.append(user['keep_books'])
tmp.append(byBarcode)
tmp.append(float(byBarcode/user['keep_books']))
tmp.append(bySSF)
tmp.append(float(bySSF/user['keep_books']))
tmp.append(bySpine)
tmp.append(float(bySpine/user['keep_books']))
tmp.append(byDouban)
tmp.append(float(byDouban/user['keep_books']))
tmp.append(byManual)
tmp.append(float(byManual/user['keep_books']))
tmp.append(ByBarcode)
tmp.append(float(ByBarcode/user['keep_books']))
tmp.append(byShow)
tmp.append(float(byShow/user['keep_books']))
tmp.append(byMerge)
tmp.append(float(byMerge/user['keep_books']))
tmp.append(unknown)
tmp.append(float(unknown/user['keep_books']))
print tmp
mat.append(tmp)
saveMatrixToFile('statistics.csv', mat)
#!/usr/bin/env python
#
# Author: Archer Reilly
# Date: 15/Sep/2015
# File: dedumplicate.py
# Desc: remove the dumplicate records from kaijuan.csv
#
# Produced By BR(BeautifulReading)
from util import loadMatrixFromFile, saveMatrixToFile
mat = loadMatrixFromFile('./kaijuan.csv')
newmat = []
tmpLst = []
for row in mat:
if row[0] in tmpLst:
print 'INFO: dumplicate ', row[0]
else:
newmat.append(row)
tmpLst.append(row[0])
saveMatrixToFile('kaijuannodump.csv', newmat)
