Suluoya 1.5.6

Suluoya

Suluoya

This is a package written by Suluoya not just for fun!

pip error

pip3 install --ignore-installed olefile

pip3 install --ignore-installed llvmlite

pip3 install --ignore-installed filelock

---

1. Upgrade Suluoya

import Suluoya as sly
sly.upgrade()

2. Welcome

import Suluoya as sly
sly.welcome()

3. Print

(1)If you wanna print error prettier...

import Suluoya as sly
sly.error()
print(1 / 0)

4. Text

(1)If you wanna get text from your clipboard...

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'

import Suluoya as sly
content = sly.get_content(file=r'c:\lalala\1.docx')
print(content)

(3)get all combination from a list

import Suluoya as sly
comb=sly.combine(lists=['A', 'B', 'C'])

(4)translate both English and Chinese into each other

if "show=False",return instead of print

import Suluoya as sly
sly.translate(text='Welcome to use Suluoya!', show=True)

(5)compare the texts

accurate=True --> accurate match mode

accurate=False --> fuzzy match mode

show=False --> return ratio instead of print

import Suluoya as sly
sly.text_compare(text1='Suluoya', text2='suluoya', accurate=True, show=True)

(6)word frequency

count the number of times words appear

import Suluoya as sly
sly.word_frequency(key='Suluoya', text='Welcome to use Suluoya!', show=True)

5. Analyse

(1)If you wanna analyse your dataframe...

import Suluoya as sly
import pandas as pd
df = pd.read_csv('https://sakai.unc.edu/access/content/group/3d1eb92e-7848-4f55-90c3-7c72a54e7e43/public/data/bycatch.csv')
sly.report(df)
#This will make a html,just look for and open it!

(2)sentiment analysis

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 or https://www.cnblogs.com/liweikuan/p/14052001.html，https://mp.weixin.qq.com/s?__biz=MzI1NzczMDIwNw==&mid=2247483777&idx=1&sn=cd985f3f7fe0472df9560de94753d86d&chksm=ea13b271dd643b67a591485d249ca9f64aaa380db3ff16c462c0d2def5ccce114e3c938b955e&token=445308227&lang=zh_CN#rd

import Suluoya as sly
sly.sentiment_analysis(text='',language='C',show=True)

(3)guess gender

name should be a Chinese name!

show=False --> return instead of print

import Suluoya as sly
sly.gender_guess(name='Suluoya',show=True)

6. Import

If you wanna auto import some packages...

use"import Suluoya.Import as SI" instead of "import pandas as pd,import numpy as np"...

#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"!

7. Crawl

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)
'''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

from Suluoya.crawl import GetProxy as gp
proxies=gp(number=1)
print(proxies)

8. Download

from Suluoya.crawl import slydownload as sd
sd=sd(url='')

(1)download music

sd.download_music(path='d:\\')

(2)download video

sd.download_video()

(3)download anything you want with an URL

sd.download()

(4)download a big file

sd.download_big_file()

9. QRcode...

import Suluoya as sly

(1)make a QRcode

fill in an url or some strings in content

fill in the name of the png in name

sly.QRcode(content='', name='')

(2)contact

If you wanna contact Suluoya...

sly.contact(mode='wechat')
sly.contact(mode='qq')

9. Fun

import Suluoya as sly

(1)draw a heart

#draw a Suluoya heart
sly.draw_a_heart()
#draw any hearts you want
sly.draw_a_heart(name='any name you like')

(2)xkcd

#you do know what I mean!
sly.xkcd()

(3)standard time

get standard time

show=False --> return instead of print

sly.standard_time(show=True)

(4)voice synthesis

really make a sound

sly.voice_synthesis(text='Welcome to use Suluoya!')

10. Stock

(1)initialize

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
print(
    sk.start_date,
    sk.end_date,
	sk.frequency,
    sk.names,
    sk.combinations,
    sk.information,
    sk.codes,
    sk.stock_pair,
    sk.data
)

(2)stock data

reference: http://baostock.com/baostock/index.php/Python_API%E6%96%87%E6%A1%A3

#adjustflag：复权类型，默认不复权：3；1：后复权；2：前复权。已支持分钟线、日线、周线、月线前后复权。

#frequency：数据类型，默认为d，日k线；d=日k线、w=周、m=月、5=5分钟、15=15分钟、30=30分钟、60=60分钟k线数据，不区分大小写；指数没有分钟线数据；周线每周最后一个交易日才可以获取，月线每月最后一个交易日才可以获取
from Suluoya.stock import getstock
#initialize
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!

(3)calculate sharp ratio

#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!

(4)Markowit

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!

(5)investment portfolio

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!

(6)choose good stocks

#get data from "http://fund.eastmoney.com/data/rankhandler.aspx"
from Suluoya.stock import getgoodstock as gs
df=gs.get_good_stock(page=5)
print(df)