#!/usr/bin/python # -*- coding: utf8 -*- # cp936 # # The MIT License (MIT) # # Copyright (c) 2010-2017 fasiondog # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. #=============================================================================== # History: # 1. 20100227, Added by fasiondog #=============================================================================== """ 绘制普通K线图 + 成交量(成交金额) """ from hikyuu.util.mylog import spend_time from hikyuu import Query from hikyuu.indicator import Indicator, IF, MA, CLOSE, VOL, CVAL, PRICELIST, SG_Cross from .drawplot import ( create_figure, get_current_draw_engine, ax_set_locator_formatter, adjust_axes_show, ax_draw_macd, show_gcf ) def draw( stock, query=Query(-130), ma1_n=5, ma2_n=10, ma3_n=20, ma4_n=60, ma5_n=100, vma1_n=5, vma2_n=10 ): """绘制普通K线图 + 成交量(成交金额)""" kdata = stock.get_kdata(query) close = CLOSE(kdata, ) ma1 = MA(close, ma1_n) ma2 = MA(close, ma2_n) ma3 = MA(close, ma3_n) ma4 = MA(close, ma4_n) ma5 = MA(close, ma5_n) ax1, ax2 = create_figure(2) kdata.plot(axes=ax1) ma1.plot(axes=ax1, legend_on=True, kref=kdata) ma2.plot(axes=ax1, legend_on=True, kref=kdata) ma3.plot(axes=ax1, legend_on=True, kref=kdata) ma4.plot(axes=ax1, legend_on=True, kref=kdata) ma5.plot(axes=ax1, legend_on=True, kref=kdata) sg = SG_Cross(MA(n=ma1_n), MA(n=ma2_n)) sg.to = kdata sg.plot(axes=ax1, kdata=kdata) vol = VOL(kdata) total = len(kdata) x1 = IF(kdata.close > kdata.open, vol, 0) x2 = IF(kdata.close <= kdata.open, vol, 0) x1.bar(axes=ax2, width=0.4, color='r', edgecolor='r', kref=kdata) x2.bar(axes=ax2, width=0.4, color='g', edgecolor='g', kref=kdata) vma1 = MA(vol, vma1_n) vma2 = MA(vol, vma2_n) vma1.plot(axes=ax2, legend_on=True, kref=kdata) vma2.plot(axes=ax2, legend_on=True, kref=kdata) if query.ktype == Query.WEEK and stock.market == 'SH' and stock.code == '000001': CVAL(0.16e+009, total, color='b', linestyle='--', kref=kdata) #ax2.hlines(0.16e+009,0,len(kdata),color='b',linestyle='--') ax_set_locator_formatter(ax1, kdata.get_datetime_list(), kdata.get_query().ktype) adjust_axes_show([ax1, ax2]) return show_gcf() def draw2( stock, query=Query(-130), ma1_n=7, ma2_n=20, ma3_n=30, ma4_n=42, ma5_n=100, vma1_n=5, vma2_n=10 ): """绘制普通K线图 + 成交量(成交金额)+ MACD""" kdata = stock.get_kdata(query) close = CLOSE(kdata) ma1 = MA(close, ma1_n) ma2 = MA(close, ma2_n) ma3 = MA(close, ma3_n) ma4 = MA(close, ma4_n) ma5 = MA(close, ma5_n) ax1, ax2, ax3 = create_figure(3) kdata.plot(axes=ax1) ma1.plot(axes=ax1, legend_on=True, kref=kdata) ma2.plot(axes=ax1, legend_on=True, kref=kdata) ma3.plot(axes=ax1, legend_on=True, kref=kdata) ma4.plot(axes=ax1, legend_on=True, kref=kdata) ma5.plot(axes=ax1, legend_on=True, kref=kdata) vol = VOL(kdata) x1 = IF(kdata.close > kdata.open, vol, 0) x2 = IF(kdata.close <= kdata.open, vol, 0) x1.bar(axes=ax2, width=0.4, color='r', edgecolor='r', kref=kdata) x2.bar(axes=ax2, width=0.4, color='g', edgecolor='g', kref=kdata) vol.bar(axes=ax2, color='r', legend_on=True) vma1 = MA(vol, vma1_n) vma2 = MA(vol, vma2_n) vma1.plot(axes=ax2, legend_on=True) vma2.plot(axes=ax2, legend_on=True) ax_draw_macd(ax3, kdata) ax1.set_xlim((0, len(kdata))) ax_set_locator_formatter(ax1, kdata.get_datetime_list(), kdata.get_query().ktype) adjust_axes_show([ax1, ax2, ax3]) return show_gcf()