Metadata-Version: 2.1
Name: Suluoya
Version: 1.7.2
Summary: Suluoya
Home-page: https://github.com/pypa/sampleproject
Author: Suluoya
Author-email: 1931960436@qq.com
Maintainer: Suluoya
Maintainer-email: 1931960436@qq.com
License: UNKNOWN
Description: # Suluoya
        
        ### This is a package written by Suluoya not just for fun!
        
        ## pip error
        
        ```python
        pip3 install --ignore-installed olefile
        
        pip3 install --ignore-installed llvmlite
        
        pip3 install --ignore-installed filelock
        ```
        
        ------
        
        ## Upgrade Suluoya
        
        ```python
        import Suluoya as sly
        sly.upgrade()
        ```
        
        ## Welcome
        
        ```python
        import Suluoya as sly
        sly.welcome()
        ```
        
        ### (1)If you wanna get text from your clipboard...
        
        ```python
        import Suluoya as sly
        sly.get_clipboard(show=True)
        a = sly.get_clipboard()
        print(a)
        ```
        
        ### (2)If you wanna get content from a file...
        
        Currently support 'doc','docx','ppt','pptx','txt'
        
        ```python
        import Suluoya as sly
        content = sly.get_content(file=r'c:\lalala\1.docx')
        print(content)
        ```
        
        ### (3) make a QRcode
        
        fill in an url or some strings in content
        
        fill in the name of the png in name
        
        ```python
        import Suluoya as sly
        sly.QRcode(content='', name='')
        ```
        
        ## 2. Import
        
        If you wanna auto import some packages...
        
        use"import Suluoya.Import as SI" instead of "import pandas as pd,import numpy as np"...
        
        ```python
        #pass
        import pandas as pd
        import numpy as np
        ...
        df = pd.Dataframe()
        #now
        import Suluoya.Import as SI
        df = pd.Dataframe() # directly
        SI.check() # just to check your import by using SI,can be omitted
        # ps. go and see a file named "auto_imports.py"!
        ```
        
        ## 3. Crawl
        
        ```python
        from Suluoya.crawl import SlyCrawl as sc
        sc=sc(url='',headers={},params={},cookies={},timeout=5)
        print(sc.url)
        print(sc.response)
        print(sc.html)
        print(sc.headers)
        print(sc.params)
        print(sc.cookies)
        '''generate a fake useragent'''
        print(sc.useragent)
        '''parsel.css'''
        print(sc.selector)
        '''BeautifulSoup'''
        print(sc.soup)
        '''it will return a **dic** which contain title,text,description,keywords,tags,image,infomation and the raw_html'''
        print(sc.text)
        '''it will return a dictionary which contain text,title,html,author,image,movies,keywords and summary.'''
        print(sc.news)
        '''url links'''
        print(sc.links)
        '''pandas.read_html'''
        print(sc.tables)
        ```
        
        ### get proxies
        
        ```python
        from Suluoya.crawl import GetProxy as gp
        proxies=gp(number=1)
        print(proxies)
        ```
        
        ## 4. Download
        
        ```python
        from Suluoya.crawl import SlyDownload as sd
        sd=sd(url='')
        ```
        
        ### (1)download music
        
        ```python
        sd.download_music(path='d:\\')
        ```
        
        ### (2)download video
        
        ```python
        sd.download_video()
        ```
        
        ### (3)download anything you want with an URL
        
        ```python
        sd.download()
        ```
        
        ### (4)download a big file
        
        ```python
        sd.download_big_file()
        ```
        
        ### (5)download novel
        
        ```python
        from Suluoya.crawl import download_novel as dn
        dn()
        ```
        
        ## 5. Text
        
        ### (1)initialize
        
        ```python
        from Suluoya.text import SlyText as st
        st=st('Suluoya','苏洛雅')
        ```
        
        ### (2)translate
        
        ```python
        st=st('苏洛雅')
        translate=st.translate
        print(translate)
        ```
        
        ### (3)gender guess
        
        name should be a Chinese name!
        
        ```python
        st=st('苏洛雅')
        gender=st.gender
        print(gender)
        ```
        
        ### (4)text compare
        
        accurate=True --> accurate match mode
        
        accurate=False --> fuzzy match mode
        
        ```python
        st=st('Suluoya','suluoya')
        text_compare=st.compare(accurate=True)
        print(text_compare)
        ```
        
        ### (5)sentiment
        
        language='C'-->Chinese
        
        language='E'-->English
        
        To download the necessary data,simply run "python -m textblob.download_corpora" before using it,if something goes wrong,then click https://zhuanlan.zhihu.com/p/272181552, https://www.cnblogs.com/liweikuan/p/14052001.html or https://mp.weixin.qq.com/s?__biz=MzI1NzczMDIwNw==&mid=2247483777&idx=1&sn=cd985f3f7fe0472df9560de94753d86d&chksm=ea13b271dd643b67a591485d249ca9f64aaa380db3ff16c462c0d2def5ccce114e3c938b955e&token=445308227&lang=zh_CN#rd
        
        ```python
        st=st('hello','sad')
        sentiment=st.sentiment(language='E')
        print(sentiment)
        ```
        
        ### (6)draw a heart
        
        ```python
        st=st('Suluoya','苏洛雅')
        st.heart
        ```
        
        ### (7)voice synthesis
        
        ```python
        st=st('Suluoya','苏洛雅')
        st.voice
        ```
        
        
        
        ## 6. Stock
        
        ### (1)initialize
        
        ```python
        from Suluoya.stock import SlyStock as sk
        sk=sk(names=['隆基股份','贵州茅台'],
             start_date='2020-12-01', 
             end_date='2020-12-31',
             frequency="w", #d→day,w→week，m→month
             holiday=False, #holiday → True
             holiday_name='国庆节', #'国庆节'，'春节'...
             before=-21,after=21,
             no_risk_rate=0.45/5200)#无风险利率
        print(
            sk.start_date,
            sk.end_date,
        	sk.frequency,
            sk.names,
            sk.combinations,
            sk.information,
            sk.codes,
            sk.stock_pair,
            sk.data，
            sk.holiday_name
        )
        ```
        
        ### (2)date and holiday information
        
        ```python
        from Suluoya.stock import GetDate
        #initialize     if end == 'None',end=time.strftime("%Y%m%d", time.localtime())
        gd=GetDate(start='20000101',end=None)
        print(,gd.start,gd.end,gd.date)
        print(gd.holiday)
        print(gd.day)
        print(gd.week)
        print(gd.month)
        print(gd.year)
        print(gd.weekofyear)
        print(gd.dayofyear)
        print(gd.Date)#conclude all above
        ```
        
        ### (3)stock data
        
        reference: http://baostock.com/baostock/index.php/Python_API%E6%96%87%E6%A1%A3
        
        ```python
        #1.股票数据
        from Suluoya.stock import GetStock
        gk = GetStock(names=['隆基股份','贵州茅台'], 
                          start_date='2020-12-01', 
                          end_date='2020-12-31',
                          frequency='w'     
                          )
        combination=gk.comnine # return a dataframe
        stockpair=gk.stock_pair
        stockdata=gk.stock_data # return codes, stock pair, stock data
        gk.quit() #Please don't forget it!
        
        #2.节日股票数据
        from Suluoya.stock import GetHolidayStock
        ghs=GetHolidayStock(names=['隆基股份','贵州茅台'], 
                          start_date='2020-12-01', 
                          end_date='2020-12-31',
                          frequency='w',     
                          holiday='国庆节',
                           before=-21,
                           after=21)
        combination=ghs.comnine # return a dataframe
        HolidayDateNearby=ghs.HolidayDateNearby # return a dataframe
        HolidayNearbyData=ghs.HolidayNearbyData # return codes, stock pair, stock data
        
        #3.季频股票能力数据
        from Suluoya.stock import StockAbility
        sa=StockAbility(names=None,
                         start_year=2018, start_quater=1,
                         end_year=2019, end_quater=4)
        print(sa.Range) # time range
        print(sa.stock_pair) # codes and names
        print(sa.profit) # 盈利能力
        print(sa.operation) # 营运能力
        print(sa.growth) # 成长能力
        print(sa.balance) # 偿债能力
        print(sa.cash_flow) # 现金流量
        print(sa.dupont_data) # 杜邦指数
        print(sa.AllAbility) # 以上所有
        sa.save_ability()
        sa.quit() # Please don't forget it!
        
        #4.行业分类及成分股
        from Suluoya.stock import ConstituentStock
        cs=ConstituentStock()
        print(cs.StockIndustry(names=['贵州茅台','五粮液'])) # 行业分类
        print(cs.sz50) # 上证50成分股
        print(cs.hs300) # 沪深300成分股
        print(cs.zz500) # 中证500成分股
        cs.quit() # Please don't forget it!
        ```
        
        ### (4)calculate sharp ratio
        
        ```python
        #dic_sharp contains weights,risk,rate of return and sharp ratio
        #eg. weights=[0.1,0.2,0.3,0.4],stock_list=['隆基股份','五粮液','贵州茅台','宁德时代']
        #The stock_list should be in the names!
        #no_risk_rate means “无风险收益率”
        from Suluoya.stock import SlyStock as sk
        dic_sharp = sk.sharp(weights=[], stock_list=[], no_risk_rate=0.45/5200)
        print(dic_sharp)
        sk.quit() # Please don't forget it!
        ```
        
        ### (5)Markowit
        
        ```python
        from Suluoya.stock import SlyStock as sk
        sk=sk(names=['隆基股份','贵州茅台'],
             start_date='2020-12-01', 
             end_date='2020-12-31',
             frequency="w"
             )
        #if stock_list = [], stock_list = names
        #accurate:True→gradient descent，False→500 random weights
        markowit=sk.Markowit(stock_list=[],
                             accurate=True, 
                             number=500, 
                             no_risk_rate=0.45/5200)
        print(markowit)
        
        sk.quit() # Please don't forget it!
        ```
        
        ### (6)investment portfolio
        
        ```python
        from Suluoya.stock import SlyStock as sk
        sk=sk(names=['隆基股份','贵州茅台'],
             start_date='2020-12-01', 
             end_date='2020-12-31',
             frequency="w"
             )
        # accurate=False
        result = sk.portfolio(accurate=False, number=500, no_risk_rate=0.45/5200)
        print(result)
        # accurate=True
        print(sk.save_result())
        
        sk.quit() # Please don't forget it!
        ```
        
        ### (7)choose good stocks
        
        ```python
        # get data from "http://fund.eastmoney.com/data/rankhandler.aspx"
        from Suluoya.stock import GetGoodStock as gs
        df=gs.GetGoodStock(page=5)
        print(df)
        ```
        
        ## 7.DataFrame
        
        ### (1)initialize
        
        ```python
        from Suluoya.dataframe import SlyDataFrame as sdf
        import pandas as pd
        df = pd.read_csv('https://sakai.unc.edu/access/content/group/3d1eb92e-7848-4f55-90c3-7c72a54e7e43/public/data/bycatch.csv')
        sdf=sdf(df)
        print(sdf.df)
        ```
        
        ### (2)report
        
        ```python
        sdf.report
        #This will make a html,just look for and open it!
        ```
        
        ### (3)gui
        
        ```python
        sdf.gui
        #pandasgui
        ```
        
        ### (4)sweetviz
        
        ```python
        sdf.sweetviz
        #This will also make a html,just look for and open it!
        ```
        
        ## 8.Finance
        
        ## 9.Model
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
