d=np.array([1, 2, 3，4,5 ])

print d

e=d.tolist()

print e

d=np.array([1, 2, 3，4,5 ])

print d

e=list(d)

print e

lst=[1, 2, 3，4,5 ]

d=np.array(lst)

    base=ts.get_stock_basics()

    base.to_csv('2.xls')

    base.to_excel('base.xls',encoding='GBK')

    base.to_excel('111.xls',encoding='utf8')

    base.to_excel('111.xls‘)

import tushare as ts



ts.get_stock_basics()

    self.base=ts.get_stock_basics()

  File "C:\Python27\lib\site-packages\tushare\stock\fundamental.py", line 44, in get_stock_basics

    text = urlopen(request, timeout=10).read()

  File "C:\Python27\lib\socket.py", line 351, in read

    data = self._sock.recv(rbufsize)

  File "C:\Python27\lib\httplib.py", line 567, in read

    s = self.fp.read(amt)

  File "C:\Python27\lib\socket.py", line 380, in read

    data = self._sock.recv(left)

socket.timeout: timed out

pip install tushare --upgrade

    def count_area():

        base=ts.get_stock_basics()

        count=base['area'].value_counts()

        ＃这一句的意思，就是获取所有股票的上市地区的数据，然后计算出现的次数

        print count

        print type(count)

Password:

The directory '/Users/rocky/Library/Caches/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.

The directory '/Users/rocky/Library/Caches/pip' or its parent directory is not owned by the current user and caching wheels has been disabled. check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.

Requirement already satisfied: matplotlib in /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python

Requirement already satisfied: numpy>=1.5 in /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python (from matplotlib)

Requirement already satisfied: python-dateutil in /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python (from matplotlib)

Collecting tornado (from matplotlib)

  Downloading tornado-4.4.3.tar.gz (463kB)

    100% |████████████████████████████████| 471kB 84kB/s 

Requirement already satisfied: pyparsing>=1.5.6 in /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python (from matplotlib)

Collecting nose (from matplotlib)

  Downloading nose-1.3.7-py2-none-any.whl (154kB)

    100% |████████████████████████████████| 163kB 75kB/s 

Collecting singledispatch (from tornado->matplotlib)

  Downloading singledispatch-3.4.0.3-py2.py3-none-any.whl

Collecting certifi (from tornado->matplotlib)

  Downloading certifi-2017.1.23-py2.py3-none-any.whl (382kB)

    100% |████████████████████████████████| 389kB 105kB/s 

Collecting backports_abc>=0.4 (from tornado->matplotlib)

  Downloading backports_abc-0.5-py2.py3-none-any.whl

Requirement already satisfied: six in /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python (from singledispatch->tornado->matplotlib)

Installing collected packages: singledispatch, certifi, backports-abc, tornado, nose

  Running setup.py install for tornado ... done

Exception:

Traceback (most recent call last):

  File "/Library/Python/2.7/site-packages/pip/basecommand.py", line 215, in main

    status = self.run(options, args)

  File "/Library/Python/2.7/site-packages/pip/commands/install.py", line 342, in run

    prefix=options.prefix_path,

  File "/Library/Python/2.7/site-packages/pip/req/req_set.py", line 784, in install

    **kwargs

  File "/Library/Python/2.7/site-packages/pip/req/req_install.py", line 851, in install

    self.move_wheel_files(self.source_dir, root=root, prefix=prefix)

  File "/Library/Python/2.7/site-packages/pip/req/req_install.py", line 1064, in move_wheel_files

    isolated=self.isolated,

  File "/Library/Python/2.7/site-packages/pip/wheel.py", line 377, in move_wheel_files

    clobber(source, dest, False, fixer=fixer, filter=filter)

  File "/Library/Python/2.7/site-packages/pip/wheel.py", line 316, in clobber

    ensure_dir(destdir)

  File "/Library/Python/2.7/site-packages/pip/utils/__init__.py", line 83, in ensure_dir

    os.makedirs(path)

  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/os.py", line 150, in makedirs

    makedirs(head, mode)

  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/os.py", line 157, in makedirs

    mkdir(name, mode)

OSError: [Errno 1] Operation not permitted: '/System/Library/Frameworks/Python.framework/Versions/2.7/man'

    def get_achievement(self):

        fc=ts.forecast_data(2016,4)

        print fc

    def get_achievement(self):



        fc=ts.forecast_data(2016,4)

        pandas.set_option('display.max_rows',None)

        print fc

from sklearn import svm

import numpy as np



def main():

    preTime = 0

    n = 0

    success = 0

    predict = None

    pTime = None

    marketPosition = 0

    initAccount = exchange.GetAccount()

    Log("Running...")

    while True:

        r = exchange.GetRecords()

        if len(r) < 60:

            continue

        bar = r[len(r)-1]

        if bar.Time > preTime:

            preTime = bar.Time

            if pTime is not None and r[len(r)-2].Time == pTime:

                diff = r[len(r)-2].Close - r[len(r)-3].Close

                if diff > SpreadVal:

                    success += 1 if predict == 0 else 0

                elif diff < -SpreadVal:

                    success += 1 if predict == 1 else 0

                else:

                    success += 1 if predict == 2 else 0

                pTime = None

                LogStatus("预测次数", n, "成功次数", success, "准确率:", '%.3f %%' % round(float(success) * 100 / n, 2))

        else:

            Sleep(1000)

            continue

        inputs_X, output_Y = , 

        sets = [None, None, None]

        for i in xrange(1, len(r)-2, 1):

            inputs_X.append([r[i].Open, r[i].Close])

            Y = 0

            diff = r[i+1].Close - r[i].Close

            if diff > SpreadVal:

                Y = 0

                sets[0] = True

            elif diff < -SpreadVal:

                Y = 1

                sets[1] = True

            else:

                Y = 2

                sets[2] = True

            output_Y.append(Y)

        if None in sets:

            Log("样本不足, 无法预测 ...")

            continue

        n += 1

        clf = svm.LinearSVC()

        clf.fit(inputs_X, output_Y)

        predict = clf.predict(np.array([bar.Open, bar.Close]).reshape((1, -1)))

        pTime = bar.Time

        

        Log("预测当前Bar结束:", bar.Time, ['涨', '跌', '横'][predict])

        if marketPosition == 0:

            if predict == 0:

                exchange.Buy(initAccount.Balance/2)

                marketPosition = 1

            elif predict == 1:

                exchange.Sell(initAccount.Stocks/2)

                marketPosition = -1

        else:

            nowAccount = exchange.GetAccount()

            if marketPosition > 0 and predict != 0:

                exchange.Sell(nowAccount.Stocks - initAccount.Stocks)

                nowAccount = exchange.GetAccount()

                marketPosition = 0

            elif marketPosition < 0 and predict != 1:

                while True:

                    dif = initAccount.Stocks - nowAccount.Stocks

                    if dif < 0.01:

                        break

                    ticker = exchange.GetTicker()

                    exchange.Buy(ticker.Sell + (ticker.Sell-ticker.Buy)*2, dif)

                    while True:

                        Sleep(1000)

                        orders = exchange.GetOrders()

                        for order in orders:

                            exchange.CancelOrder(order.Id)

                        if len(orders) == 0:

                            break

                    nowAccount = exchange.GetAccount()

                marketPosition = 0

            if marketPosition == 0:

                LogProfit(_N(nowAccount.Balance - initAccount.Balance, 4), nowAccount)

                [/i][/i]

data=pd.DataFrame(np.arange(16).reshape(4,4),index=['Ohio','Colorado','Utah','New York'],columns=['one','two','three','four'])

>>> data

          one  two  three  four

Ohio        0    1      2     3

Colorado    4    5      6     7

Utah        8    9     10    11

New York   12   13     14    15

data.ix[:'Utah',:2]

          one  two

Ohio        0    1

Colorado    4    5

Utah        8    9

data.ix[:'Utah',:'two']

          one  two

Ohio        0    1

Colorado    4    5

Utah        8    9

session=requests.session()

#先创建一个seession



s=session.get('http://xueqiu.com',headers=self.headers)

#随意建立一个访问雪球的session，此时的session就自带了雪球的cookies



url='https://xueqiu.com/snowmart/push/stocks.json?product_id=19&page=3&count=5'

headers['Referer']='https://xueqiu.com/strategy/19'

headers['X-Requested-With']='XMLHttpRequest'

headers['DNT']='1'



data={'product_id':19,'page':3,'count':5}



resp=session.get(url,headers=self.headers,params=data).text

#如果这里用的request.get的话，就不能获取到网页返回的正确内容

print resp

def csdn():

    session=requests.session()

    header={'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36'}

    url='[url]http://msg.csdn.net/'[/url] 

    header['Cookie']='uuid_tt_dd=-5697318013068753627_20160111; _ga=GA1.2.795042232.1452766190; _message_m=quvq2wle24wa4awe UserInfo=zMhiNgesgIlEBQ3TOqLCtx4nUI360IIq3ciBzg4EKH%2FW8mSpTANpu5cTlRFLj2Tqh%2FZzQr2rNqDtT1SZz%2Be2%2FpDkGoQxDK3IVUZXvwZ%2FEP1I4UTg6MoZkH7LDO3sjrJJ; UserNick=%E9%87%8D%E5%A4%8D%E7%9A%84%E7%94%9F%E6%B4%BB; AU=0F1; UD=%E8%AE%B0%E5%BD%95%E8%87%AA%E5%AD%A6%E7%9A%84%E5%8E%86%E7%A8%8B+%E5%88%83%E8%8D%; BT=1490707396344; access-token=c2e12bff-5b27-4a91-953b-448ff6f6beac; _csdn_notify_admin_session=VE41a0d3TitrVGY2bGtXY09pZENwR1lHenhUU1NVaWc1b04wL1I3dCtDQVdadWpjMXBzdGRJL0RZR04wYldvZDBhTU96b2oycVVKeVI1UEVyUHFKbG1yNnB2b2pHRWVnWG1uc2JMM2R3YWthakRyTXZNaEpVU1NtUy9zQUJrNjd3R2lpbG5PK0paMnlyc1dyK0lTZUtRPT0tLXlPQUE1QzF5UmhDNjEvSFdtRFlQS2c9PQ%3D%3D--4569c5a32916dcf969a8b7e007c37abeb90be4f3; dc_tos=onj1dg; dc_session_id=1490707393375; Hm_lvt_6bcd52f51e9b3dce32bec4a3997715ac=1490024083,1490024559,1490374375,1490707368; Hm_lpvt_6bcd52f51e9b3dce32bec4a3997715ac=1490707638'

    header['Cache-Control']='max-age=0'

    header['Host']='msg.csdn.net'

    header['Referer']='http://blog.csdn.net/username'

    resp=requests.get(url,headers=header)

    print resp.text

 
上面这段代码，只要你改一下cookie和 Refer 的连接，改成你自己的用户名。 你就可以访问你的csdn的消息，也就是别人在你的csdn博客访问的的留言，评论。
 
只是这个cookie只能在某个时间段生效，也就是存活期大概就一个星期左右。

def taobao_shiyong():



    d.screen.on()

    d.press.home()



    activity_name='com.taobao.taobao/com.taobao.tao.homepage.MainActivity3'

    launch_app(activity_name)

    mid_x=displayWidth/2



    try:



        d(text=u'我的淘宝').click()

        time.sleep(3)

        d(text='查看更多工具').click()

        time.sleep(3)

        d(scrollable=True).scroll.to(text=u'免费试用')

        time.sleep(2)

        d(text=u'免费试用').click()

        time.sleep(3)





        delta_y=144

        full_y=1920

        full_x=1080

        fix_x=880

        origin_y=222

        d.swipe(fix_x,full_y-delta_y,fix_x,origin_y)

        time.sleep(3)

        #d.swipe(fix_x,952,fix_x,origin_y)

        time.sleep(5)



        sumakeji=displayWidth/8*3

        jiayongdianqi=displayWidth/8*5

        d.click(jiayongdianqi,1660)

        time.sleep(3)



        #each_dianpu()

        #d.click(jiayongdianqi,300)



        delta_each=400

        time.sleep(3)



        for dragtime in range(20):

            for i in range(3):

                d.click(919,600+i*delta_each)

                time.sleep(8)

                each_dianpu()



            d.swipe(919,1600,919,400)



    except:

        print "Can't find items"

            content=requests.get(url,headers=self.header)

            content.encoding='gbk'

            print content.text

n = 15,



Return:

[

    "1",

    "2",

    "Fizz",

    "4",

    "Buzz",

    "Fizz",

    "7",

    "8",

    "Fizz",

    "Buzz",

    "11",

    "Fizz",

    "13",

    "14",

    "FizzBuzz"

]

    def fizzBuzz(self, n):

        """

        :type n: int

        :rtype: List[str]

        """

        

        result=[]

        for i in range(1,n+1):

            remainder1=i%3

            remainder2=i%5

            if remainder1 != 0 and remainder2!=0:

                result.append(str(i))

            elif remainder1==0 and remainder2!=0:

                result.append('Fizz')

            elif remainder1!=0 and remainder2 == 0:

                result.append("Buzz")

            else:

                result.append("FizzBuzz")

    

        return result

Input: nums1 = [4,1,2], nums2 = [1,3,4,2].

Output: [-1,3,-1]

Explanation:

    For number 4 in the first array, you cannot find the next greater number for it in the second array, so output -1.

    For number 1 in the first array, the next greater number for it in the second array is 3.

    For number 2 in the first array, there is no next greater number for it in the second array, so output -1.

Input: nums1 = [2,4], nums2 = [1,2,3,4].

Output: [3,-1]

Explanation:

    For number 2 in the first array, the next greater number for it in the second array is 3.

    For number 4 in the first array, there is no next greater number for it in the second array, so

Input: ["Hello", "Alaska", "Dad", "Peace"]

Output: ["Alaska", "Dad"]

    def findWords( words):

        """

        :type words: List[str]

        :rtype: List[str]

        """

        

        kb={'q':['q','w','e','r','t','y','u','i','o','p'],

            'a':['a','s','d','f','g','h','j','k','l'],

        'z':['z','x','c','v','b','n','m']}

    

        rList=[]

        qRow= kb['q']

        aRow= kb['a']

        zRow= kb['z']

        for wi in words:

            w=wi.lower()

            i=0

            l=len(w)

    

            if w[0] in qRow:

                row=qRow

            if w[0] in aRow:

                row=aRow

            if w[0] in zRow:

                row=zRow

    

            #row=kb[w[0]]

            for i in range(len(w)):

                if w[i] not in row:

                    break

                else:

                    if i==l-1:

                        rList.append(wi)

        return rList

Input: 5

Output: 2

Explanation: The binary representation of 5 is 101 (no leading zero bits), and its complement is 010. So you need to output 2.

Input: 1

Output: 0

Explanation: The binary representation of 1 is 1 (no leading zero bits), and its complement is 0. So you need to output 0.

class Solution(object):

    def findComplement(self, num):

        """

        :type num: int

        :rtype: int

        """

        result=[]

        while num!=0:

            remainder=num%2

            num=num/2

            result.append(remainder)

        l=len(result)



        for i in range(l/2):

            temp=result[i]

            result[i]=result[l-i-1]

            result[l-i-1]=temp

        lam=lambda x:abs(x-1)



        for i in range(l):

            result[i]=lam(result[i])



        #print result

        sum=0

        for i in range(l):

            sum=sum+result[l-i-1]*pow(2,i)

        return sum

class Solution(object):

    def findComplement(self, num):

        i = 1

        while i <= num:

            i = i << 1

        return (i - 1) ^ num

Input: x = 1, y = 4



Output: 2



Explanation:

1   (0 0 0 1)

4   (0 1 0 0)

       ↑   ↑



The above arrows point to positions where the corresponding bits are different.

x=10

y=20

z=x^y

#solution 1

s=bin(z)

print type(s)

distance=0

for i in s[2:]:

    if i=='1':

        distance+=1

print "distance is %d" %distance

    def twoSum(nums, target):

        """

        :type nums: List[int]

        :type target: int

        :rtype: List[int]

        """

        indics=[]

        for i in range(len(nums)-1):

        #使用两次循环，类似于冒泡算法，尝试每个数和另外一个数的和，枚举

            for j in range(i+1,len(nums)):

                if target== nums[i]+nums[j]:

                    indics.append(i)

                    indics.append(j)

                    return indics