print 'a values is %d%%' %a

def recursion(n): 

    if(n <= 0): 

        print n

        return 

    print n    

    recursion(n - 1) 



if __name__ == "__main__":

    recursion(1200)

import sys

sys.setrecursionlimit(1500)

xda@xda-dt:~$ sudo apt-get install sqlite3 libsqlite3-0=3.7.9-2ubuntu1.1

Reading package lists... Done

Building dependency tree       

Reading state information... Done

libsqlite3-0 is already the newest version.

Some packages could not be installed. This may mean that you have

requested an impossible situation or if you are using the unstable

distribution that some required packages have not yet been created

or been moved out of Incoming.

The following information may help to resolve the situation:



The following packages have unmet dependencies:

 sqlite3 : Depends: libsqlite3-0 (= 3.7.9-2ubuntu1) but 3.7.9-2ubuntu1.1 is to be installed

E: Unable to correct problems, you have held broken packages.

xda@xda-dt:~$ sudo aptitude install sqlite3

The following NEW packages will be installed:

  sqlite3{b} 

0 packages upgraded, 1 newly installed, 0 to remove and 0 not upgraded.

Need to get 26.9 kB of archives. After unpacking 174 kB will be used.

The following packages have unmet dependencies:

 sqlite3 : Depends: libsqlite3-0 (= 3.7.9-2ubuntu1) but 3.7.9-2ubuntu1.1 is installed.

The following actions will resolve these dependencies:



     Keep the following packages at their current version:

1)     sqlite3 [Not Installed]                            







Accept this solution? [Y/n/q/?] n

The following actions will resolve these dependencies:



     Downgrade the following packages:                                  

1)     libsqlite3-0 [3.7.9-2ubuntu1.1 (now) -> 3.7.9-2ubuntu1 (precise)]







Accept this solution? [Y/n/q/?] Y

The following packages will be DOWNGRADED:

  libsqlite3-0 

The following NEW packages will be installed:

  sqlite3 

0 packages upgraded, 1 newly installed, 1 downgraded, 0 to remove and 0 not upgraded.

Need to get 375 kB of archives. After unpacking 174 kB will be used.

Do you want to continue? [Y/n/?] Y

Get: 1 http://hk.archive.ubuntu.com/ubuntu/ precise/main libsqlite3-0 amd64 3.7.9-2ubuntu1 [348 kB]

Get: 2 http://hk.archive.ubuntu.com/ubuntu/ precise/main sqlite3 amd64 3.7.9-2ubuntu1 [26.9 kB]

Fetched 375 kB in 1s (306 kB/s)    

dpkg: warning: downgrading libsqlite3-0 from 3.7.9-2ubuntu1.1 to 3.7.9-2ubuntu1.

(Reading database ... 162912 files and directories currently installed.)

Preparing to replace libsqlite3-0 3.7.9-2ubuntu1.1 (using .../libsqlite3-0_3.7.9-2ubuntu1_amd64.deb) ...

Unpacking replacement libsqlite3-0 ...

Selecting previously unselected package sqlite3.

Unpacking sqlite3 (from .../sqlite3_3.7.9-2ubuntu1_amd64.deb) ...

Processing triggers for man-db ...

Setting up libsqlite3-0 (3.7.9-2ubuntu1) ...

Setting up sqlite3 (3.7.9-2ubuntu1) ...

Processing triggers for libc-bin ...

ldconfig deferred processing now taking place

                                         

xda@xda-dt:~$ sqlite3

SQLite version 3.7.9 2011-11-01 00:52:41

Enter ".help" for instructions

Enter SQL statements terminated with a ";"

sqlite> .exit

    import matplotlib.pyplot as plt

    import numpy as np



    x = np.arange(10)

    print x

    fig = plt.figure()

    ax = plt.subplot(111)



    for i in xrange(5):

        #ax.plot(x, i * x, label='y=%dx' %i)

        ax.plot(x, i * x, label='$y = %ix$' % i)



    ax.legend()



    plt.show()

    df=pd.read_csv('LoanStats_2017Q1.csv',header=0)

    print df.head(10)

    print df.describe()



    analysis_columns = ['issue_d','term','int_rate','emp_title','grade','home_ownership','verification_status','purpose','loan_amnt','total_pymnt','out_prncp','total_rec_int','total_rec_prncp','installment','annual_inc','dti','fico_range_low','fico_range_high','last_fico_range_low','last_fico_range_high','open_acc','loan_status','delinq_amnt','acc_now_delinq','tot_coll_amt']

    deal_data = df.loc[:,analysis_columns]

    print deal_data

    deal_data.groupby('issue_d').agg({'loan_amnt':'sum'}).plot(kind="bar")

    deal_data.groupby('issue_d').agg({'issue_d':'count'}).plot(kind = 'bar')

    x=np.arange(101)

    y=x.cumsum()

    print y

    print len(y)

[   0    1    3    6   10   15   21   28   36   45   55   66   78   91  105

  120  136  153  171  190  210  231  253  276  300  325  351  378  406  435

  465  496  528  561  595  630  666  703  741  780  820  861  903  946  990

 1035 1081 1128 1176 1225 1275 1326 1378 1431 1485 1540 1596 1653 1711 1770

 1830 1891 1953 2016 2080 2145 2211 2278 2346 2415 2485 2556 2628 2701 2775

 2850 2926 3003 3081 3160 3240 3321 3403 3486 3570 3655 3741 3828 3916 4005

 4095 4186 4278 4371 4465 4560 4656 4753 4851 4950 5050]

pip install uiautomator

info= d.info

    print info

    print type(info)

    for i in info:

       print i,info[i]

{u'displayRotation': 0, u'displaySizeDpY': 640, u'displaySizeDpX': 360, u'screenOn': False, u'currentPackageName': u'com.smartisanos.keyguard', u'productName': u'icesky_msm8992', u'displayWidth': 1080, u'sdkInt': 22, u'displayHeight': 1920, u'naturalOrientation': True}

<type 'dict'>

displayRotation 0

displaySizeDpY 640

displaySizeDpX 360

screenOn False

currentPackageName com.smartisanos.keyguard

productName icesky_msm8992

displayWidth 1080

sdkInt 22

displayHeight 1920

naturalOrientation True

d.press.home()

    result=d(text=u'设置').wait.exists(timeout=10000)

    #单位是毫秒, 如果timeout还没有找到，就返回false

    print "next"

    if result:

        print "You press setting"

    else:

        print "You don't touch any thing"

股票代码	股票简称	涨跌幅(%)	现价(元)	收盘价:前复权(元)	区间涨跌幅:前复权(%)	交易状态

				2016.07.13	2016.07.13	2016.07.13

300501.SZ	海顺新材	10.00	144.65	131.50	3.06	交易

300384.SZ	三联虹普	-0.67	57.63	58.02	5.97	交易

300506.SZ	名家汇	5.98	60.98	57.54	5.52	交易

002572.SZ	索菲亚	1.03	56.80	56.22	-0.65	交易

600419.SH	天润乳业	4.66	57.10	54.56	0.06	交易

300494.SZ	盛天网络	4.86	54.19	51.68	2.64	交易

300369.SZ	绿盟科技	2.36	45.50	44.45	-0.96	交易

002113.SZ	天润数娱	-1.89	43.55	44.39	7.14	交易

002190.SZ	成飞集成	10.01	47.17	42.88	10.01	交易

600391.SH	成发科技	3.39	43.56	42.13	1.54	交易

002699.SZ	美盛文化	3.25	40.99	39.70	9.97	交易

603027.SH	千禾味业	3.70	40.39	38.95	-1.77	交易

600893.SH	中航动力	2.03	39.29	38.51	0.44	交易

603005.SH	晶方科技	4.34	40.16	38.49	2.89	交易

300339.SZ	润和软件	2.50	36.98	36.08	1.32	交易

300246.SZ	宝莱特	3.92	37.42	36.01	-0.91	交易

002368.SZ	太极股份	4.23	37.50	35.98	1.75	交易

000555.SZ	神州信息	0.35	34.66	34.54	-0.75	交易

002745.SZ	木林森	9.15	37.10	33.99	-0.23	交易

002589.SZ	瑞康医药	-1.49	33.00	33.50	4.82	交易

002007.SZ	华兰生物	3.31	33.36	32.29	-0.89	交易

002456.SZ	欧菲光	0.32	31.60	31.50	7.88	交易

002759.SZ	天际股份	9.99	34.01	30.92	0.00	重大事项，停牌自2016-07-12起连续停牌

sheet1 = pd.read_excel('test.xls', header=0, skiprows=[0] )

# -*-coding=utf-8-*-

__author__ = 'Rocky'

'''

http://30daydo.com

Contact: weigesysu@qq.com

'''

import random

import hashlib

import hmac,time

import smtplib

from email.mime.text import MIMEText

from email import Utils

import threading

import requests,datetime,itchat



from toolkit import Toolkit





class Jubi_web():

    def __init__(self, send=None):

        cfg = Toolkit.getUserData('data.cfg')

        self.public_key = cfg['public_key']

        self.private_key = cfg['private_key']

        self.send=send

        from_mail = cfg['from_mail']

        password = cfg['password']

        to_mail = cfg['to_mail']

        smtp_server = 'smtp.qq.com'



        self.server = smtp_server

        self.username = from_mail.split("@")[0]

        self.from_mail = from_mail

        self.password = password

        self.to_mail = to_mail

        self.coin_list=['IFC','DOGE','EAC','DNC','MET','ZET','SKT','YTC','PLC','LKC',

                        'JBC','MRYC','GOOC','QEC','PEB','XRP','NXT','WDC','MAX','ZCC',

                        'HLB','RSS','PGC','RIO','XAS','TFC','BLK','FZ','ANS','XPM','VTC',

                        'KTC','VRC','XSGS','LSK','PPC','ETC','GAME','LTC','ETH','BTC']

        # 初始化邮箱设置读取需要股票信息

        # 这样子只登陆一次

        if self.send == 'msn':



            try:

                self.smtp = smtplib.SMTP_SSL(port=465)

                self.smtp.connect(self.server)

                self.smtp.login(self.username, self.password)

            except smtplib.SMTPException, e:

                print e

                return 0



        if send=='wechat':

            self.w_name=u'xxxxx'

            

            itchat.auto_login(hotReload=True)

            account=itchat.get_friends(self.w_name)





    def send_wechat(self,name,content):

        w_content=name+' '+content

        itchat.send(w_content,toUserName=self.toName)

        time.sleep(1)

        itchat.send(w_content,toUserName='filehelper')





    def send_text(self, name, content):



        subject = '%s' % name

        self.msg = MIMEText(content, 'plain', 'utf-8')

        self.msg['to'] = self.to_mail

        self.msg['from'] = self.from_mail

        self.msg['Subject'] = subject

        self.msg['Date'] = Utils.formatdate(localtime=1)

        try:

            self.smtp.sendmail(self.msg['from'], self.msg['to'], self.msg.as_string())

            self.smtp.quit()

            print "sent"

        except smtplib.SMTPException, e:

            print e

            return 0



    def warming(self, coin, up_price, down_price):

        url = 'https://www.jubi.com/api/v1/ticker/'

        while 1:

            time.sleep(5)

            try:

                data = requests.post(url, data={'coin': coin}).json()

            except Exception,e:

                print e

                print "time out. Retry"

                time.sleep(15)

                continue



            current = float(data['last'])

            if current >= up_price:

                print "Up to ", up_price

                print "current price ",current



                if self.send=='msn':

                    self.send_text(coin,str(current))

                if self.send=='wechat':

                    self.send_wechat(coin,str(current))



                time.sleep(1200)

            if current <= down_price:

                print "Down to ", down_price

                print "current price ",current

                if self.send=='msn':

                    self.send_text(coin,str(current))

                if self.send=='wechat':

                    self.send_wechat(coin,str(current))

                time.sleep(1200)

    #上面的内容尽量不用修改。





    def getContent(self):

        url = 'https://www.jubi.com/api/v1/trade_list'

        params_data = {'key': 'x', 'signature': 'x'}

        s = requests.get(url=url, params=params_data)



    def getHash(self, s):

        m = hashlib.md5()

        m.update(s)

        return m.hexdigest()



    def sha_convert(self, s):

        return hashlib.sha256(self.getHash(s)).hexdigest()



    def get_nonce(self):

        lens = 12

        return ''.join([str(random.randint(0, 9)) for i in range(lens)])



    def get_signiture(self):

        url = 'xxxxxxxxx'

        coin = 'zet'

        nonce = self.get_nonce()



        # sha=self.sha_convert(private_key)

        md5 = self.getHash(self.private_key)

        message = 'nonce=' + nonce + '&' + 'key=' + self.public_key

        # print message

        signature = hmac.new(md5, message, digestmod=hashlib.sha256).digest()

        # print signature



        # req=requests.post(url,data={'signature':signature,'key':public_key,'nonce':nonce,'coin':'zet'})

        req = requests.post(url, data={'coin': coin})

        print req.status_code

        print req.text



    def real_time_ticker(self, coin):

        url = 'xxxxxxxx'

        try:

            data = requests.post(url, data={'coin': coin}).json()

            #print data

        except Exception ,e:

            print e

        return data





    def real_time_depth(self, coin):

        url = 'xxxxxxxxx'

        data = requests.post(url, data={'coin': coin}).json()

        print data

        data_bids = data['bids']

        data_asks = data['asks']

        print "bids"

        for i in data_bids:

            print i[0],

            print ' ',

            print i[1]

        print "asks"

        for j in data_asks:

            print j[0],

            print ' ',

            print j[1]



    def list_all_price(self):

        for i in self.coin_list:

            print i,

            print " price: ",

            p=self.real_time_ticker(i.lower())

            if p is not None:

                print p[u'last']



    def getOrder(self,coin):

        url='https://www.jubi.com/api/v1/orders/'

        try:

            req=requests.get(url,params={'coin':coin})

        except Exception,e:

            print e



        data=req.json()

        return data

    # recent 100 trade turn over

    def turnover(self,coin):

        i=coin.lower()

        coins=Toolkit.getUserData('coins.csv')

        total=long(coins[i])

[i]        [/i]p=self.getOrder(i)

        print p

        amount=0.00

        for j in p:

            t= j[u'amount']

            amount=float(t)+amount

        #current=float(self.real_time_ticker(i)[u'last'])

        turn_over=amount*1.00/total*100

        print turn_over



    def multi_thread(self,coin_list,price_list):

        thread_num=len(coin_list)

        thread_list=

        for i in range(thread_num):

            t=threading.Thread(target=self.warming, args=(coin_list,price_list[0],price_list[1]),)

            thread_list.append(t)

        for j in thread_list:

            j.start()

        for k in thread_list:

            k.join()



if __name__ == '__main__':



    obj = Jubi_web(send='wechat')

    coin_list=['zet','doge']

    price_list=[[0.2,0.13],[0.03,0.024]]

    obj.multi_thread(coin_list,price_list)



[/i]

import talib

from talib import MA_Type



MA_Type: 0=SMA, 1=EMA, 2=WMA, 3=DEMA, 4=TEMA, 5=TRIMA, 6=KAMA, 7=MAMA, 8=T3 (Default=SMA)

    #MA_Type: 0=SMA, 1=EMA, 2=WMA, 3=DEMA, 4=TEMA, 5=TRIMA, 6=KAMA, 7=MAMA, 8=T3 (Default=SMA)

    df=ts.get_k_data('300580',start='2017-01-12',end='2017-05-26')

    closed=df['close'].values

    sma=talib.MA(closed,timeperiod=10,matype=0)

    ema=talib.MA(closed,timeperiod=10,matype=1)

    wma=talib.MA(closed,timeperiod=10,matype=2)

    dema=talib.MA(closed,timeperiod=10,matype=3)

    tema=talib.MA(closed,timeperiod=10,matype=4)

    trima=talib.MA(closed,timeperiod=10,matype=5)

    kma=talib.MA(closed,timeperiod=10,matype=6)

    mama=talib.MA(closed,timeperiod=10,matype=7)

    t3=talib.MA(closed,timeperiod=10,matype=8)

    #ouput=talib.MA(closed,timeperiod=5,matype=0)

    print closed

    plt.ylim([0,40])

    plt.plot(sma)

    plt.plot(ema)

    plt.plot(wma)

    plt.plot(dema)

    plt.plot(tema)

    plt.plot(trima)

    plt.plot(kma)

    plt.plot(mama)

    plt.plot(t3)

    plt.grid()

    plt.show()

    #通过tushare获取股票信息

    df=ts.get_k_data('300580',start='2017-01-12',end='2017-05-26')

    #提取收盘价

    closed=df['close'].values

    

    upper,middle,lower=talib.BBANDS(closed,matype=talib.MA_Type.T3)

    

    print upper,middle,lower

    plt.plot(upper)

    plt.plot(middle)

    plt.plot(lower)

    plt.grid()

    plt.show()

    diff1=upper-middle

    diff2=middle-lower

    print diff1

    print diff2

    #通过tushare获取股票信息

    df=ts.get_k_data('300580',start='2017-01-12',end='2017-05-26')

    #提取收盘价

    closed=df['close'].values

    #获取均线的数据，通过timeperiod参数来分别获取 5,10,20 日均线的数据。

    ma5=talib.SMA(closed,timeperiod=5)

    ma10=talib.SMA(closed,timeperiod=10)

    ma20=talib.SMA(closed,timeperiod=20)



    #打印出来每一个数据

    print closed

    print ma5

    print ma10

    print ma20



    #通过plog函数可以很方便的绘制出每一条均线

    plt.plot(closed)

    plt.plot(ma5)

    plt.plot(ma10)

    plt.plot(ma20)

    #添加网格，可有可无，只是让图像好看点

    plt.grid()

    #记得加这一句，不然不会显示图像

    plt.show()