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Kline_now.py
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Kline_now.py
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#画一般的K线的地方
import pyecharts.options as opts
from pyecharts.charts import Kline,Line
import baostock as bs
import pymysql
import datetime
from pyecharts.charts import Page,Grid
class get_Kline(object):
def __init__(self):
self.lg = bs.login()
def getKline(self,beginDate,endDate,code):
if code[0] == '0':code = "sz." + code
if code[0] == '6':code = 'sh.' + code
if code[0] == '3':code = 'sz.' + code
if code[0] == '2':code = 'sz.' + code
if code[0] == '9':code = 'sh.' + code
rs = bs.query_history_k_data_plus(code,
"date,code,open,high,low,close,preclose,volume,amount,turn,pctChg",
start_date=beginDate, end_date=endDate,
frequency="d", adjustflag="2")
data_list = []
while (rs.error_code == '0') & rs.next():
data_list.append(rs.get_row_data())
# print(data_list)
return data_list
def testgetKline(self,beginDate, endDate, code,k):
if code[0] == '0':code = "sz." + code
if code[0] == '6':code = 'sh.' + code
if code[0] == '3':code = 'sz.' + code
if code[0] == '2':code = 'sz.' + code
if code[0] == '9':code = 'sh.' + code
rs = bs.query_history_k_data_plus(code,
"date,time,code,open,high,low,close,volume,amount",
start_date=beginDate, end_date=endDate,
frequency=k, adjustflag="2")
data_list = []
while (rs.error_code == '0') & rs.next():
# 获取一条记录，将记录合并在一起
data_list.append(rs.get_row_data())
return data_list
def bs_close(self):
bs.logout()
def create_Kline_Image(day1,day2):
Pa = Page()
# Gd=Grid(init_opts=opts.InitOpts(width="700px",height='700px'))
db = pymysql.connect("47.111.24.112", "root", "withme_321", "test")
cursor = db.cursor()
get_K = get_Kline()
day_code = "SELECT DISTINCT date from daban_zd where date>='%s' and date<='%s' ORDER BY date" % (day1, day2)
cursor.execute(day_code)
day_list = cursor.fetchall()
for day in day_list:
sql_code = "SELECT date,code,stockname,price,highdays FROM daban_zd where updown>0 and code like'00%%' and date='%s' ORDER BY turn desc limit 2" % \
day[0]
cursor.execute(sql_code)
code_list = cursor.fetchall()
code_list=list(code_list)
del code_list[0]
for stock in code_list:
code = stock[1]
name = stock[2]
highdays=stock[4]
# trade_day=stock[0]
# if str(trade_day) not in ['2019-01-28','2019-02-14','2019-06-27','2019-08-19','2019-08-23','2019-09-05','2019-10-15','2019-10-28','2019-11-04','2020-02-03','2020-02-07','2020-02-10','2020-06-02','2021-07-01']:continue
data_list1 = get_K.getKline(str(day[0]+datetime.timedelta(-15)),str(day[0]), code)
data_list2=get_K.getKline(str(day[0]),str(day[0]+datetime.timedelta(15)), code)
# print(stock)
try:
day00=data_list1[-4][0]
open00=float('%.2f' % float(data_list1[-4][2]))
high00=float('%.2f' % float(data_list1[-4][3]))
low00=float('%.2f' % float(data_list1[-4][4]))
close00=float('%.2f' % float(data_list1[-4][5]))
except:
day00 =0
open00=0
high00=0
low00=0
close00=0
try:
day0=data_list1[-3][0]
open0=float('%.2f' % float(data_list1[-3][2]))
high0=float('%.2f' % float(data_list1[-3][3]))
low0=float('%.2f' % float(data_list1[-3][4]))
close0=float('%.2f' % float(data_list1[-3][5]))
except:
day0=0
open0=0
high0=0
low0=0
close0=0
day1=data_list1[-2][0]
open1=float('%.2f' % float(data_list1[-2][2]))
high1=float('%.2f' % float(data_list1[-2][3]))
low1=float('%.2f' % float(data_list1[-2][4]))
close1=float('%.2f' % float(data_list1[-2][5]))
day2=data_list2[0][0]
open2=float('%.2f' % float(data_list2[0][2]))
high2=float('%.2f' % float(data_list2[0][3]))
low2=float('%.2f' % float(data_list2[0][4]))
close2=float('%.2f' % float(data_list2[0][5]))
day3=data_list2[1][0]
open3=float('%.2f' % float(data_list2[1][2]))
high3=float('%.2f' % float(data_list2[1][3]))
low3=float('%.2f' % float(data_list2[1][4]))
close3=float('%.2f' % float(data_list2[1][5]))
day4=data_list2[2][0]
open4=float('%.2f' % float(data_list2[2][2]))
high4=float('%.2f' % float(data_list2[2][3]))
low4=float('%.2f' % float(data_list2[2][4]))
close4=float('%.2f' % float(data_list2[2][5]))
data=[[open00,close00,low00,high00],[open0,close0,low0,high0],[open1,close1,low1,high1],[open2,close2,low2,high2],[open3,close3,low3,high3],[open4,close4,low4,high4]]
# data=[close00,close0,close1,close2,close3,close4]
daylist=[day00,day0,day1,day2,day3,day4]
if float(data_list2[1][2]) < float(data_list2[1][6]):
buy_price = float(data_list2[1][2])
elif float(data_list2[1][4]) <= float(data_list2[1][6]) < float(data_list2[1][3]): # 今日最低<上一日收盘价<今日最高
buy_price = float(data_list2[1][6]) # 买价，T日开盘价
else:
break
sell_day=data_list2[2][0]
# if float(data_list2[2][3]) > float(data_list2[2][6]) * 1.095:sell_price = float(data_list2[2][3])
# else:sell_price = float(data_list2[2][5]) # 挂涨停价，没卖掉就收盘价卖
data_list3 = get_K.testgetKline(sell_day, sell_day, code, '5')
if data_list3 == []: continue
sell_price = float(data_list3[29][3]) # 13点25分开盘价作为卖价
buy_close=float(data_list2[1][5])#买那天的收盘价
if buy_price>buy_close:string1='先跌'
else:string1='先涨'
if buy_close>sell_price:string2='再跌'
else:string2='再涨'
syl="%.2f%% "%((sell_price-buy_price)/buy_price*100)#收益率
c=(
# Line(init_opts=opts.InitOpts(width="500px",height='500px'))
Kline(init_opts=opts.InitOpts(width="500px",height='500px'))
.add_xaxis(daylist)
.add_yaxis(name,
data,
itemstyle_opts=opts.ItemStyleOpts(
color="#ec0000",
color0="#00da3c",
border_color="#8A0000",
border_color0="#008F28",
# borderWidth="10px",
)
)
.set_global_opts(
xaxis_opts=opts.AxisOpts(is_scale=True),
yaxis_opts=opts.AxisOpts(
is_scale=True,
splitarea_opts=opts.SplitAreaOpts(
is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=0.5)
),
),
title_opts=opts.TitleOpts(title=str(syl)+(string1+string2)+highdays),
)
)
Pa.add(c)
Pa.render('ccc.html')
cursor.close()
get_K.bs_close()
create_Kline_Image('2021-07-27','2021-08-09')