def check_db_data(cls,
code,
start_date,
end_date,
table,
db='server_db',
dbname='big-data',
db2='server_db',
dbname2='big-data',
path='f://zjf//check_data//'):
if table == None: raise Exception("table can't be empty")
data = KlineData(location=db,
dbname=dbname).read_data(code=code,
start_date=start_date,
end_date=end_date,
kline=table,
timemerge=True)
data = data.sort_values(by=['date'], ascending=True)
data2 = KlineData(location=db2,
dbname=dbname2).read_data(code=code,
start_date=start_date,
end_date=end_date,
kline=table,
timemerge=True)
data2 = data2.sort_values(by=['date'], ascending=True)
print('start draw.......')
# fig, ax = plt.subplots()
# fig.subplots_adjust(bottom=0.2)
ax = plt.subplot(211)
# plt.title('本地')
ax.set_xticks([])
candlestick2_ohlc(ax,
data.open,
data.high,
data.low,
data.close,
width=1,
colorup='red',
colordown='green')
plt.title(db + '--' + table + '--' + code)
ax = plt.subplot(212)
# plt.title('远程')
plt.title(db2 + '--' + table + '--' + code)
candlestick2_ohlc(ax,
data2.open,
data2.high,
data2.low,
data2.close,
width=1,
colorup='red',
colordown='green')
# plt.show()
File.check_file(path=path)
ax.set_xticks([])
plt.savefig(path + table + '.png', transparent=True)
plt.close()
def check(cls, code, start_date, end_date):
table = 'kline_min5'
table2 = 'tmp_kline_min5'
path = 'f:/zjf/data/check6/'
data = KlineData.read_data(code=code,
start_date=start_date,
end_date=end_date,
kline=table,
timemerge=True)
if len(data) <= 0:
return
data = data.sort_values(by=['date'], ascending=True)
data = data[data.time <= 955]
data2 = KlineData.read_data(code=code,
start_date=start_date,
end_date=end_date,
kline=table2,
timemerge=True)
if len(data2) <= 0:
return
data2 = data2.sort_values(by=['date'], ascending=True)
data2 = data2[data2.time <= 955]
print('start draw.......')
# fig, ax = plt.subplots()
# fig.subplots_adjust(bottom=0.2)
ax = plt.subplot(211)
# plt.title('本地')
ax.set_xticks([])
candlestick2_ohlc(ax,
data.open,
data.high,
data.low,
data.close,
width=1,
colorup='red',
colordown='green')
plt.title(table + '--' + code)
ax = plt.subplot(212)
# plt.title('远程')
plt.title(table2 + '--' + code)
candlestick2_ohlc(ax,
data2.open,
data2.high,
data2.low,
data2.close,
width=1,
colorup='red',
colordown='green')
File.check_file(path=path)
ax.set_xticks([])
plt.savefig(path + code + '.png', transparent=True)
plt.close()
def draw_macd_line(cls,
date,
data,
profits,
start_time=None,
end_time=None,
code='000001',
kline='kline_day',
path="f:/zjf/image/macd"):
"""
:param date: lable,作为图片的标签日期
:param start_time: 开始日期
:param end_time: 结束日期
:param code: 股票号
:param kline: 数据库表
:param interval: 间隔几日的收益率
:return:
"""
diff = list(data['dif'])
dea = list(data['dea'])
fig, ax = plt.subplots()
plt.plot(diff, 'black')
plt.plot(dea, 'black')
macd = list(data.macd)
x = range(0, len(list(data['macd'])), 1)
li = list()
li2 = list()
for i in macd:
if i > 0:
li.append(i)
li2.append(0)
else:
li.append(0)
li2.append(i)
plt.bar(left=x, height=li, width=0.4, color=('black'),
align="center") # yerr=0.1
plt.bar(left=x, height=li2, width=0.4, color=('black'),
align="center") # yerr=0.1
File.check_file(path=path)
title = 'macd' + '_' + str(date)[0:10] + '_' + code + '_' + str(
profits)
file_name = path + '/' + title + '.png'
plt.axis('off')
plt.savefig(fname=file_name, format='png', transparent=True)
plt.close()
gc.collect()
return ''
def draw_rl_pic(cls, data, date, time):
code3 = KlineBase.get_all_stock_code_info(date, time)
if len(code3) == 0:
return pd.DataFrame()
data = pd.merge(data, code3, on=['stock_code'])
# data['pro'] =data.close_x/data.open_x-1
pro = data.pro.mean()
data = data[0:2500]
arr = np.zeros((51, 51))
y = 0
for i, r in data.iterrows():
if (i + 1) % 50 != 0:
# print((i + 1) % 50)
arr[y, i % 50] = r['pro']
else:
y = y + 1
# print('y', y)
arr[y, i % 50] = r['pro']
proifit = data.profit.mean()
if abs(proifit) < 0.0005:
return
ax = sns.heatmap(arr, vmin=-0.03, vmax=0.03, cbar=False)
# plt.matshow(arr, cmap='hot')
ax.set_yticks([])
ax.set_xticks([])
# plt.show()
# plt.showbar(False)
if proifit >= 0:
up = '/up'
else:
up = '/down'
title = str(data.date_x.iloc[0])[0:10] + '_' + str(
data.time_x.iloc[0]) + '_' + str(pro) + '_' + str(proifit)
path = 'F:/zjf/images/hot/' + str(
data.date_x.iloc[0])[0:10] + '/' + up + '/'
File.check_file(path=path)
file_name = path + title + '.png'
plt.savefig(fname=file_name, format='png', dpi=50)
plt.close()
gc.collect()
def draw_ma_line(cls, data, profits, date, code, path):
fig, ax = plt.subplots()
open1 = list(data['open'])
high1 = list(data['high'])
low1 = list(data['low'])
close1 = list(data['close'])
candlestick2_ohlc(ax,
open1,
high1,
low1,
close1,
width=0.6,
colorup='black',
colordown='black')
plt.plot(list(data['ma5']), c='black')
# MA10
plt.plot(list(data['ma10']), c='black')
# MA20
plt.plot(list(data['ma20']), c='black')
# MA40
plt.plot(list(data['ma60']), c='black')
plt.plot(list(data['ma120']), c='black')
title = str(date)[0:10] + '_' + code + '_' + str(profits)
# plt.title(title) # 标题
# plt.legend() #图例
# plt.show()
# path = path + "/" + str(date)[0:10]
File.check_file(path=path)
file_name = path + '/' + title + '.png'
plt.axis('off')
plt.savefig(fname=file_name, format='png', transparent=True)
# plt.clf()
plt.close()
gc.collect()
return ''
def __init__(self,path, name):
''' Start some variables that we need to CSV file
this is subclass from File'''
File.__init__(self,path,name)
self.delimiter = ","
def __init__(self,path , name):
'''Initialize the variables'''
File.__init__(self, path, name)
self.file=File(path,name)
self.display=Display()
import json
from Bim.bim import Bim
from File.file import File
if __name__ == "__main__":
campaign = input('Campaign ID: ')
bim_aktuels = Bim(campaign)
bim_aktuels.get_all_products()
kiyasla_datas = bim_aktuels.kiyasla_products
final_output = bim_aktuels.product_names
if kiyasla_datas:
print('\n{}\n'.format(', '.join(final_output)))
File('bim_ready_').export(
str(json.dumps(kiyasla_datas)).replace('"u": ', '"u":ur'))
def drow_boll_line(cls,
date,
data,
code='000001',
kline='kline_day',
interval=4):
"""
这部分是boll线的可视化部分
:param date: date是后续label使用
:param data: 计算好的data
:param code:股票号码
:param kline:kline_min5等
:param interval:间隔日期，默认是4
:return:
"""
if len(data) < 92:
# print('这个股票没有数据')
return 0
profits = (data.close.iloc[0] -
data.close.iloc[interval]) / data.close.iloc[interval]
if abs(profits) < 0.02:
return
data = data.drop(['_id', 'classtype'], axis=1)
data = data.sort_values(by=['date'], ascending=True)
data = data.reset_index()
data['mid'] = data['close'].rolling(26).mean()
data['tmp2'] = data['close'].rolling(20).std()
data['top'] = data['mid'] + 2 * data['tmp2']
data['bottom'] = data['mid'] - 2 * data['tmp2']
data = data.iloc[30:-interval]
names = list(data.date)
y = list(data.top)
y1 = list(data.bottom)
y2 = list(data.mid)
x = range(len(names))
fig, ax = plt.subplots(figsize=(12 * 1.2, 8 * 1.2))
fig.subplots_adjust()
plt.plot(x, y, mec='r', mfc='w')
plt.plot(x, y1, mec='r', mfc='w')
plt.plot(x, y2, ms=5)
# plt.legend() # 让图例生效
# plt.xticks(x, names, rotation=90)
# plt.margins(0)
plt.subplots_adjust(bottom=0.15)
# plt.xlabel(u"时间轴") # X轴标签
# plt.ylabel(u"数据") # Y轴标签
# title = str(code) + 'BOLL轨道'
# plt.title(title) # 标题
ax.set_yticks([])
ax.set_xticks([])
open1 = list(data['open'])
high1 = list(data['high'])
low1 = list(data['low'])
close1 = list(data['close'])
# 画图
# candlestick2_ohlc(ax, open1, high1, low1, close1, width=0.6, colorup='red', colordown='green')
# plt.show()
title = 'boll' + '_' + str(date)[0:10] + '_' + code + '_' + str(
profits)
# plt.title(title) # 标题
# plt.legend() #图例
# plt.show()
up = ''
if profits >= 0:
up = '/up'
else:
up = '/down'
path = 'F:/zjf/images/boll2/' + kline + "/" + str(date)[0:10] + up
File.check_file(path=path)
file_name = path + '/' + title + '.png'
plt.savefig(fname=file_name, format='png', dpi=50)
# plt.clf()
plt.close()
def draw_ma_min5_line(cls,
date,
data,
kline,
length,
start_time=None,
end_time=None,
code='000001',
interval=48):
if start_time == None or end_time == None:
print('时间必须要有')
return 0
data = data.reset_index(drop=True)
# 前60被截断，后四用来计算涨跌
if len(data) < length:
# print(len(data))
# print('data is no ok')
return 0
date = data.date.iloc[interval]
profits = (data.close.iloc[0] -
data.close.iloc[interval]) / data.close.iloc[interval]
# if abs(profits) < 0.005:
# return
data = data[::-1]
# 画图
data['ma5'] = pd.rolling_mean(data['close'], 5)
data['ma10'] = pd.rolling_mean(data['close'], 10)
data['ma20'] = pd.rolling_mean(data['close'], 20)
data['ma60'] = pd.rolling_mean(data['close'], 60)
data['ma120'] = pd.rolling_mean(data['close'], 120)
data['ma200'] = pd.rolling_mean(data['close'], 200)
# fig, ax = plt.subplots(figsize=(18 * (len(data) / 164), 12))
data = data.iloc[-(48 + interval):-interval]
data = data.reset_index()
fig, ax = plt.subplots()
open1 = list(data['open'])
high1 = list(data['high'])
low1 = list(data['low'])
close1 = list(data['close'])
# candlestick2_ohlc(ax, open1, high1, low1, close1, width=0.6, colorup='red', colordown='green')
# mpl.rcParams['font.sans-serif'] = ['SimHei']
# plt.title(str(date)+'p='+str(profits))
plt.plot(list(data['ma5']))
# MA10
plt.plot(list(data['ma10']))
# MA20
plt.plot(list(data['ma20']))
# MA40
plt.plot(list(data['ma60']))
plt.plot(list(data['ma120']))
plt.plot(list(data['ma200']))
title = 'MA' + '_' + str(date).split(' ')[0] + '_' + code + '_' + str(
date).split(' ')[1].replace(':', '-') + '_' + str(profits)
# plt.title(title) # 标题
# plt.legend() #图例
# plt.show()
ax.set_yticks([])
ax.set_xticks([])
up = ''
path = 'F:/zjf/images/Ma_new/399303'
File.check_file(path=path)
file_name = path + '/' + title + '.png'
plt.savefig(fname=file_name, format='png', dpi=100)
plt.close()
gc.collect()
return ''