最近用python(3.2的版本)写了根据特定规则,处理数据的一个小程序,用到了一些python常用的基础知识,在此总结一下:
1,python读文件
2,python写文件
3,python的流程控制
4,python的for循环
5,python的集合,或字符串里判断是否存在某个元素
6,python的逻辑或,逻辑与
7,python的正则过滤
8,python的字符串忽略空格,和以某个字符串开头和按某个字符拆分成list
python的打开文件的模式:
关于open 模式:
w 以写方式打开,
a 以追加模式打开 (从 EOF 开始, 必要时创建新文件)
r+ 以读写模式打开
w+ 以读写模式打开 (参见 w )
a+ 以读写模式打开 (参见 a )
rb 以二进制读模式打开
wb 以二进制写模式打开 (参见 w )
ab 以二进制追加模式打开 (参见 a )
rb+ 以二进制读写模式打开 (参见 r+ )
wb+ 以二进制读写模式打开 (参见 w+ )
ab+ 以二进制读写模式打开 (参见 a+ )
处理代码如下:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
|
def showtxt(path,outpathname,detailpath): greenpath = r "C:\\Users\\qindongliang\\Desktop\\tnstxt\\green.txt" ; redpath = r "C:\\Users\\qindongliang\\Desktop\\tnstxt\\red.txt" ; redset = listtxt(redpath) greenset = listtxt(greenpath) print ( "红色词数量: " , len (redset)) print ( "绿色词数量: " , len (greenset)) #符合1条件的内容写入 f1 = open (r "C:\Users\qindongliang\Desktop\tnstxt\result\\"+detailpath+" \\ 1.txt ",encoding=" UTF - 8 ",mode=" a + ") #符合2条件的内容写入 f2 = open (r "C:\Users\qindongliang\Desktop\tnstxt\result\\"+detailpath+" \\ 2.txt ",encoding=" UTF - 8 ",mode=" a + ") #符合3条件的内容写入 f3 = open (r "C:\Users\qindongliang\Desktop\tnstxt\result\\"+detailpath+" \\ 3.txt ",encoding=" UTF - 8 ",mode=" a + ") #符合4条件的内容写入 f4 = open (r "C:\Users\qindongliang\Desktop\tnstxt\result\\"+detailpath+" \\ 4.txt ",encoding=" UTF - 8 ",mode=" a + ") delcount = 1 ; f = open (path,encoding = "UTF-8" ,mode = "r+" ) fnew = open (outpathname,encoding = "UTF-8" ,mode = "a+" ) flog = open (outpathname + ".log" ,encoding = "UTF-8" ,mode = "a+" ) #count=1; for line in f: list = line.strip().split( "\t" ) line = line.strip() catalogid = list [ 0 ] score = list [ 1 ] keyword = clear( list [ 4 ].strip()) if keyword in redset: if catalogid.startswith( "018022" ) or catalogid.startswith( "018035" ) or catalogid.startswith( "014023003" ) : f1.write(line + "\n" ) #符合1条件写入 fnew.write(line + "\n" ) #符合1条件写入 else : flog.write(line + " 不符合条件1 " + "\n" ) delcount = delcount + 1 if keyword in greenset: if not (catalogid.startswith( "018022" ) or catalogid.startswith( "018035" ) or catalogid.startswith( "014023003" )) : fnew.write(line + "\n" ) else : f2.write(line + "\n" ) flog.write(line + " 不符合条件2" + "\n" ) delcount = delcount + 1 flist = formatStrList(keyword) if "sexy" in flist or "sex" in flist: if catalogid.startswith( "018022" ) or catalogid.startswith( "018035" ) or catalogid.startswith( "014023003" ) : f3.write(line + "\n" ) fnew.write(line + "\n" ) else : flog.write(line + " 不符合条件3" + "\n" ) delcount = delcount + 1 #if (keyword.find("underwear")!=-1) & keyword.find("sexy")==-1 & keyword.find("sex")==-1: if "underwear" in flist and "sexy" not in flist and "sex" not in flist: if catalogid.startswith( "014032" ) : f4.write(line + "\n" ) fnew.write(line + "\n" ) else : flog.write(line + " 不符合条件4" + "\n" ) delcount = delcount + 1 #print(list[0]," ",list[1]," ",list[4]) #print() flog.write( "删除总数目: " + str (delcount)) f.close() f1.close() f2.close() f3.close() f4.close() fnew.close() flog.close() import re def clear( str ): str = re.sub( "[\"\"\'\'+]" ,"", str ) return str def formatStrList(keyword): list = keyword.split( " " ) for item in list : item.strip(); return list def listtxt(path): f = open (path,encoding = "UTF-8" ) s = set () for line in f: s.add(line.strip()) f.close() return s path1 = r "C:\\Users\\qindongliang\\Desktop\\tnstxt\\highfrequency.txt" pathout1 = r "C:\\Users\\qindongliang\\Desktop\\tnstxt\\detail\\a_highfrequency.txt" detail1path = "highfrequency" path2 = r "C:\\Users\\qindongliang\\Desktop\\tnstxt\\highfrequency_d1.txt" pathout2 = r "C:\\Users\\qindongliang\\Desktop\\tnstxt\\detail\\b_highfrequency_d1.txt" detail2path = "highfrequency_d1" #showtxt(path1,pathout1,detail1path) showtxt(path2,pathout2,detail2path) |
以上就是对Python 的数据处理的实例详解,如有疑问请留言或者到本站社区交流讨论,感谢阅读,希望能帮助到大家,谢谢大家对本站的支持!
原文链接:http://qindongliang.iteye.com/blog/2162304