<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[hm11290219的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/hm11290219</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; hm11290219]]></copyright><item><title><![CDATA[vs2008 生成DLL，并在其他工程中调用]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/78751066</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/78751066</guid><author>hm11290219</author><pubDate>Fri, 08 Dec 2017 14:09:21 +0800</pubDate><description><![CDATA[最近在工作中需要生成DLL文件，并在其他工程中调用该DLL文件。 
首先是生成DLL文件，选择“New Projecgt”->”Win32”->”Win32 Project” ，新建工程名，”Application Settings”选择“DLL”，这样就可以创建DLL工程。这里主要标记下走过的坑： 
（1）、工程里的函数如果要在其他工程中调用，则需要将函数名导出，常用方法有两种，一种是定义“def]]></description><category></category></item><item><title><![CDATA[数据处理样例]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/75286278</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/75286278</guid><author>hm11290219</author><pubDate>Tue, 18 Jul 2017 11:23:40 +0800</pubDate><description><![CDATA[# -*- coding:UTF-8 -*-
import pandas as pd
import numpy as np
import os
os.chdir("D:\Ming\Ma") #数据所在路径index = ['TIMESTAMP','TA_F','SW_IN_F','VPD_F','P_F','LE_F_MDS', 'LE_CORR','H_F_MDS','H_CORR','GPP_D]]></description><category></category></item><item><title><![CDATA[distance of vaa3d]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/72627155</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/72627155</guid><author>hm11290219</author><pubDate>Mon, 22 May 2017 15:55:03 +0800</pubDate><description><![CDATA[import os
os.chdir("C:/Program Files/Vaa3D-3.20/bin")
import re
import time
from sqlalchemy import create_engine
import MySQLdb
import pandas as pddef calculate_dist(path):
    pathDir =  os.listdir(pa]]></description><category></category></item><item><title><![CDATA[get_distance]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/72597797</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/72597797</guid><author>hm11290219</author><pubDate>Sun, 21 May 2017 12:44:16 +0800</pubDate><description><![CDATA[import os
os.chdir("C:/Program Files/Vaa3D-3.20/bin")
namelist = []path = "F:/fruitfly_with_gold"
pathDir =  os.listdir(path)
for allDir in pathDir:
    filepath = path + '/'+allDir
    file = os.listd]]></description><category></category></item><item><title><![CDATA[LeetCode  Two Sum]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/71481646</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/71481646</guid><author>hm11290219</author><pubDate>Tue, 09 May 2017 17:21:48 +0800</pubDate><description><![CDATA[def twoSum(nums, target):
    d={}
    L = []
    for i in range(len(nums)):
        if (nums[i] in d):
            L.append(d[nums[i]])
            L.append(i)
        else:
            d[target-nums[]]></description><category></category></item><item><title><![CDATA[python 读写文件包含多种编码格式]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/71426577</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/71426577</guid><author>hm11290219</author><pubDate>Mon, 08 May 2017 17:48:16 +0800</pubDate><description><![CDATA[今天写一个脚本文件，需要将多个文件中的内容汇总到一个txt文件中，由于多个文件有三种不同的编码方式，读写出现错误，先将解决方法记录如下:# -*- coding: utf-8 -*-
import wave
import pylab as pl
import numpy as np
import pandas as pd
import os
import time
import datetime
i]]></description><category></category></item><item><title><![CDATA[几个sql语句]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/53490196</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/53490196</guid><author>hm11290219</author><pubDate>Tue, 06 Dec 2016 17:45:38 +0800</pubDate><description><![CDATA[select count(distinct(company_name)) from bj_capital       60/69select count(distinct(company_name)) from bj_capital2       134/193SELECT company_name FROM bj_capital UNION SELECT company_name FROM bj_]]></description><category></category></item><item><title><![CDATA[提取文章高频词]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/53485690</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/53485690</guid><author>hm11290219</author><pubDate>Tue, 06 Dec 2016 12:47:44 +0800</pubDate><description><![CDATA[# -*- coding: utf-8 -*-
# * @author haoming
# * @date 2016/11/08import MySQLdb
import pandas as pd
import numpy as np
import re
import codecs 
import jieba
import jieba.analyse
import logging
from gens]]></description><category></category></item><item><title><![CDATA[python 写入csv防止乱码]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/53468345</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/53468345</guid><author>hm11290219</author><pubDate>Mon, 05 Dec 2016 18:44:35 +0800</pubDate><description><![CDATA[# coding: utf-8import codecs
import os
os.chdir("F:\project\predict")
import csv
csvfile = open('csv_test.csv', 'wb')csvfile.write(codecs.BOM_UTF8) #防止乱码
writer = csv.writer(csvfile)writer.writerow(['姓]]></description><category></category></item><item><title><![CDATA[根据两个已有表建立新表]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/53462514</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/53462514</guid><author>hm11290219</author><pubDate>Mon, 05 Dec 2016 10:03:09 +0800</pubDate><description><![CDATA[create table clue.dust as 
SELECT distinct c.company_name,c.reg_no, c.city, c.bus_scope, case when b.flag=1 then 1 else 0 end as new_flag
FROM  
(select company_name, reg_no,city,bus_scope,province fro]]></description><category></category></item><item><title><![CDATA[查询最相似的文档]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/53129978</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/53129978</guid><author>hm11290219</author><pubDate>Fri, 11 Nov 2016 16:27:00 +0800</pubDate><description><![CDATA[# -*- coding: utf-8 -*-
# * @author haoming
# * @date 2016/11/08import os
os.chdir(u"G:\project\LRModel\wordseg")
import MySQLdb
import pandas as pd
import re
import codecs 
import jieba
import jieba.a]]></description><category></category></item><item><title><![CDATA[sql 查询某一字段包含特定字符的数量]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/53127646</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/53127646</guid><author>hm11290219</author><pubDate>Fri, 11 Nov 2016 12:04:32 +0800</pubDate><description><![CDATA[select case when bus_scope like '%婚纱摄影%' then 1
            when bus_scope like '%婚庆策划%' then 2
            when bus_scope like '%婚庆设备%' then 3
            when bus_scope like '%广告策划%' then 4]]></description><category></category></item><item><title><![CDATA[python 中文切词并计算相似度]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/53098519</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/53098519</guid><author>hm11290219</author><pubDate>Wed, 09 Nov 2016 12:30:35 +0800</pubDate><description><![CDATA[# -*- coding: utf-8 -*-
# * @author haoming
# * @date 2016/11/08import os
os.chdir(u"G:\project")
import MySQLdb
import pandas as pd
import re
import codecs 
import jieba
import jieba.analyse
import lo]]></description><category></category></item><item><title><![CDATA[python 保留两位小数]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/53006894</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/53006894</guid><author>hm11290219</author><pubDate>Wed, 02 Nov 2016 12:40:41 +0800</pubDate><description><![CDATA[a = float(10/3.0)print round(a,2) #first
print "%.2f" % (a) #second
from decimal import Decimal#third
print Decimal(a).quantize(Decimal('0.00'))]]></description><category></category></item><item><title><![CDATA[公交车乘客]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/52980646</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/52980646</guid><author>hm11290219</author><pubDate>Mon, 31 Oct 2016 10:55:53 +0800</pubDate><description><![CDATA[s = int(raw_input())
L1 = []
for i in range(s):
    L1.append(raw_input())
L2 = []
for i in range(s):
    L2.append(int(L1[i][2])-int(L1[i][0]))
max = 0
sum = 0 
for i in range(len(L2)):
    sum += L2[]]></description><category></category></item><item><title><![CDATA[约德尔测试]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/52980226</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/52980226</guid><author>hm11290219</author><pubDate>Mon, 31 Oct 2016 10:23:23 +0800</pubDate><description><![CDATA[L1 = raw_input()
L2 = raw_input()
L3 = []
for i in range(len(L1)):
    if L1[i].isalpha() or L1[i].isdigit():
        L3.append('1')
    else:
        L3.append('0')
sum = 0
for j in range(len(L3)):]]></description><category></category></item><item><title><![CDATA[python 变量作用域实例]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/52971017</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/52971017</guid><author>hm11290219</author><pubDate>Sun, 30 Oct 2016 10:25:50 +0800</pubDate><description><![CDATA[j,k = 1,2def proc1():
    j,k=3,4
    print "proc1:j==%d and k==%d"%(j,k)
    k = 5def proc2():
    j = 6
    proc1()
    print "proc2:j==%d and k==%d"%(j,k)k=7
proc1()
print "j==%d and k==%d" %(j,k)
j]]></description><category></category></item><item><title><![CDATA[输出两字符串中第二个字符串的不同部分]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/52931895</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/52931895</guid><author>hm11290219</author><pubDate>Wed, 26 Oct 2016 10:26:32 +0800</pubDate><description><![CDATA[“`def func(x): 
    d={} 
    for i in range(len(x)): 
        d[i] = x[i] 
    return dif name == “main“: 
    A = “qqqq” 
    B = “” 
    d1 = func(A) 
    d2 = func(B) 
    if B == None: 
        pr]]></description><category></category></item><item><title><![CDATA[统计字符出现次数]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/52930912</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/52930912</guid><author>hm11290219</author><pubDate>Wed, 26 Oct 2016 08:50:07 +0800</pubDate><description><![CDATA[L = "I like data mining, it is pretty good!"
L = list(L.strip().split(' '))
L = [item.lower() for item in L]
print L
d={}
for i in range(len(L)):
    if len(L[i])>1:
        for j in range(len(L[i])):]]></description><category></category></item><item><title><![CDATA[去哪网1]]></title><link>https://blog.youkuaiyun.com/hm11290219/article/details/52822145</link><guid>https://blog.youkuaiyun.com/hm11290219/article/details/52822145</guid><author>hm11290219</author><pubDate>Sat, 15 Oct 2016 12:02:39 +0800</pubDate><description><![CDATA[方法1：
import random
import copy
def func(n):
    L1 = list(str(n))
    L2 = copy.deepcopy(L1)
    L2.reverse()
    if L1 == L2:
        x = n
    else:
        n += 1
        return func(n)
    return x]]></description><category></category></item></channel></rss>