【转载】研究中完美显示K线图:缩放、拖动、多图MACD叠加
2024-04-05 23:09:45
2018年11月30日更新：
修正了MACD线不显示的问题。
以下是原文：
想展现数据，图无疑是最好的方式。展示股票数据，当然是K线图了，之前论内有人用matplotlib，有人用bokeh画K线，问题多多，图片太小、不支持拖动，导致细节展示难度太大，代码也太复杂等等。
今天把JQData 100万条数据跑完了，闲来无事，共享下用百度echart画K线、MACD图的类。先来个效果图：
下边是数据滚动轴哦
不多说，上代码，研究内核请用 Python 2 (PacVer 2.0)
有问题留言
注：如果研究中无法显示K线图，请按F5刷新下
#pyecharts文档请见http://pyecharts.org
from pyecharts import Kline, online,Overlap,Scatter,Style,Line,Grid,Bar
import talib
class Kshow:def __init__(self,stock_name,jsPath='https://cdn.bootcss.com/echarts/4.1.0.rc2'):#使用最新的echarts js文件online(jsPath)#K线self.kline=Kline(stock_name)#macd line，即dif、deaself.macd_line=Line('')self.macd_bar=Bar('')def chart_init(self,data_df,show_BI=True,show_Line=True,show_Center=True):#获取K线数据def get_K_data(df):kdata=df.loc[:,['open','close','low','high']].to_dict('split')['data']xaxis=list(df.index.tolist())return xaxis,kdata#获取MACD数据def get_macd_data(df):dif=[l[1] for l in df.dif.iteritems()]dea=[l[1] for l in df.dea.iteritems()]macd_z=[l for l in df[df.macd>=0].macd.iteritems()]macd_f=[l for l in df[df.macd<0].macd.iteritems()]return dif,dea,macd_z,macd_fkx,ky=get_K_data(data_df)#添加K线，is_datazoom_show显示时间轴，datazoom_range时间轴范围self.kline.add('K',kx,ky,is_datazoom_show=True,datazoom_range=[80,100])#修改K线颜色self.kline._option['series'][0]['itemStyle']={'normal':{'color':'#ef232a', 'color0': '#14b143','borderColor': '#ef232a', 'borderColor0': '#14b143'}}dif,dea,macd_z,macd_f=get_macd_data(data_df)self.macd_bar.add('macd_z',[t for t,v in macd_z],macd_z,is_datazoom_show=True)self.macd_bar.add('macd_f',[t for t,v in macd_f],macd_f,is_datazoom_show=True)self.macd_line.add('dif',kx,dif,is_datazoom_show=True, xaxis_type='category',line_width =1,is_symbol_show=False,is_fill=False)self.macd_line.add('dea',kx,dea,is_datazoom_show=True, xaxis_type='category',line_width =1,is_symbol_show=False,is_fill=False)#这个应该是目前版本pyechart的bug，导致区域填充，删除后只显示线del chart.macd_line._option['series'][0]['areaStyle']del chart.macd_line._option['series'][1]['areaStyle']#主图def get_main_chart(self,height=600,width=1000):overlap = Overlap(height=height,width=height)overlap.add(self.kline)return overlap#辅图def get_macd_chart(self,height=200,width=1000):overlap = Overlap(height=height,width=height)overlap.add(self.macd_line)overlap.add(self.macd_bar)return overlap#获取图，并显示def show_chart(self,zoom_start=50,height=600,width=1000):grid = Grid(height=height,width =width)main_ov=self.get_main_chart(height-200,width)macd_ov=self.get_macd_chart(200,width)grid.add(main_ov,grid_top=0,grid_bottom=220)grid.add(macd_ov,grid_top=height-200)grid._option['dataZoom'][0]['xAxisIndex']=[0, 1]grid._option['dataZoom'][0]['start']=zoom_startgrid._option['xAxis'][1]['show']=Falsegrid._option['legend'][1]['show']=Falsegrid._option['color']=['#145b7d','#e0861a','#ef232a','#14b143'] #DIF，DEA，MACD正，MACD负return grid收起代码 ↑
#股票代码
stock='000001.XSHG'
#名称
stock_name=get_security_info(stock).display_name
#获取dataframe
df=get_price(stock,end_date='2018-06-10',fields=['open','close','high','low'],frequency='1d',count=600)#计算macd
df['dif'],df['dea'],df['macd']=talib.MACD(df.close.values, fastperiod=12 , slowperiod=26, signalperiod=9 )
#macd最开始一段数据不准，移除
df=df.iloc[100:,:]
#初始化画图函数
chart=Kshow(stock[:6]+' '+stock_name)
#初始化数据
chart.chart_init(df)
#显示图表
chart.show_chart(height=600,width=1000)
收起代码 ↑
require.config({ paths: { 'echarts': 'https://cdn.bootcss.com/echarts/4.1.0.rc2/echarts.min' } });
require(['echarts'], function(echarts) { var myChart_ae173dd9ed154b429ac13e69fef611be = echarts.init(document.getElementById('ae173dd9ed154b429ac13e69fef611be'), 'light', {renderer: 'canvas'}); function kline_tooltip_formatter(params) { var text; text = ((((((((((((params[0].seriesName + "<br/>") + "- open:") + params[0].data[1]) + "<br/>") + "- close:") + params[0].data[2]) + "<br/>") + "- lowest:") + params[0].data[3]) + "<br/>") + "- highest:") + params[0].data[4]); return text; } var option_ae173dd9ed154b429ac13e69fef611be = { "yAxis": [ { "nameLocation": "middle", "axisTick": { "alignWithLabel": false }, "scale": true, "show": true, "axisLabel": { "textStyle": { "fontSize": 12 }, "interval": "auto", "margin": 8, "rotate": 0, "formatter": "{value} " }, "splitLine": { "show": true }, "boundaryGap": true, "nameTextStyle": { "fontSize": 14 }, "nameGap": 25, "axisLine": { "lineStyle": { "width": 1 } }, "inverse": false, "splitArea": { "show": true }, "type": "value" }, { "nameLocation": "middle", "axisTick": { "alignWithLabel": false }, "inverse": false, "show": true, "axisLabel": { "textStyle": { "fontSize": 12 }, "interval": "auto", "margin": 8, "rotate": 0, "formatter": "{value} " }, "splitLine": { "show": true }, "boundaryGap": true, "nameTextStyle": { "fontSize": 14 }, "nameGap": 25, "axisLine": { "lineStyle": { "width": 1 } }, "type": "value", "gridIndex": 4 } ], "color": [ "#145b7d", "#e0861a", "#ef232a", "#14b143" ], "series": [ { "seriesId": 3840874, "markLine": { "data": [] }, "name": "K", "itemStyle": { "normal": { "color": "#ef232a", "color0": "#14b143", "borderColor0": "#14b143", "borderColor": "#ef232a" } }, "xAxisIndex": 0, "yAxisIndex": 0, "data": [ [ 2826.3123, 2843.645, 2826.2562, 2848.0713 ], [ 2839.6823, 2821.6663, 2807.1878, 2839.695 ], [ 2835.0293, 2815.0863, 2807.7488, 2843.165 ], [ 2813.5431, 2822.4429, 2780.7634, 2827.0916 ], [ 2817.9684, 2821.046, 2809.7992, 2832.7994 ], [ 2814.6507, 2822.4509, 2794.6608, 2830.9697 ], [ 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"2018-01-24T00:00:00", "2018-01-25T00:00:00", "2018-01-26T00:00:00", "2018-01-29T00:00:00", "2018-01-30T00:00:00", "2018-01-31T00:00:00", "2018-02-01T00:00:00", "2018-02-02T00:00:00", "2018-02-05T00:00:00", "2018-02-06T00:00:00", "2018-02-07T00:00:00", "2018-02-08T00:00:00", "2018-02-09T00:00:00", "2018-02-12T00:00:00", "2018-02-13T00:00:00", "2018-02-14T00:00:00", "2018-02-22T00:00:00", "2018-02-23T00:00:00", "2018-02-26T00:00:00", "2018-02-27T00:00:00", "2018-02-28T00:00:00", "2018-03-01T00:00:00", "2018-03-02T00:00:00", "2018-03-05T00:00:00", "2018-03-06T00:00:00", "2018-03-07T00:00:00", "2018-03-08T00:00:00", "2018-03-09T00:00:00", "2018-03-12T00:00:00", "2018-03-13T00:00:00", "2018-03-14T00:00:00", "2018-03-15T00:00:00", "2018-03-16T00:00:00", "2018-03-19T00:00:00", "2018-03-20T00:00:00", "2018-03-21T00:00:00", "2018-03-22T00:00:00", "2018-03-23T00:00:00", "2018-03-26T00:00:00", "2018-03-27T00:00:00", "2018-03-28T00:00:00", "2018-03-29T00:00:00", "2018-03-30T00:00:00", "2018-04-02T00:00:00", "2018-04-03T00:00:00", "2018-04-04T00:00:00", "2018-04-09T00:00:00", "2018-04-10T00:00:00", "2018-04-11T00:00:00", "2018-04-12T00:00:00", "2018-04-13T00:00:00", "2018-04-16T00:00:00", "2018-04-17T00:00:00", "2018-04-18T00:00:00", "2018-04-19T00:00:00", "2018-04-20T00:00:00", "2018-04-23T00:00:00", "2018-04-24T00:00:00", "2018-04-25T00:00:00", "2018-04-26T00:00:00", "2018-04-27T00:00:00", "2018-05-02T00:00:00", "2018-05-03T00:00:00", "2018-05-04T00:00:00", "2018-05-07T00:00:00", "2018-05-08T00:00:00", "2018-05-09T00:00:00", "2018-05-10T00:00:00", "2018-05-11T00:00:00", "2018-05-14T00:00:00", "2018-05-15T00:00:00", "2018-05-16T00:00:00", "2018-05-17T00:00:00", "2018-05-18T00:00:00", "2018-05-21T00:00:00", "2018-05-22T00:00:00", "2018-05-23T00:00:00", "2018-05-24T00:00:00", "2018-05-25T00:00:00", "2018-05-28T00:00:00", "2018-05-29T00:00:00", "2018-05-30T00:00:00", "2018-05-31T00:00:00", "2018-06-01T00:00:00", "2018-06-04T00:00:00", "2018-06-05T00:00:00", "2018-06-06T00:00:00", "2018-06-07T00:00:00", "2018-06-08T00:00:00" ], "gridIndex": 4 } ], "dataZoom": [ { "end": 100, "show": true, "xAxisIndex": [ 0, 1 ], "start": 50, "type": "slider", "orient": "horizontal" } ], "toolbox": { "orient": "vertical", "top": "center", "show": true, "feature": { "restore": { "show": true, "title": "restore" }, "dataView": { "show": true, "title": "data view" }, "saveAsImage": { "show": true, "title": "save as image" } }, "left": "95%" }, "legend": [ { "textStyle": { "fontSize": 12 }, "show": true, "top": "top", "selectedMode": "multiple", "data": [ "K" ], "orient": "horizontal", "left": "center" }, { "textStyle": { "fontSize": 12 }, "show": false, "top": "top", "selectedMode": "multiple", "data": [ "dif", "dea", "macd_z", "macd_f" ], "orient": "horizontal", "left": "center" } ] }; myChart_ae173dd9ed154b429ac13e69fef611be.setOption(option_ae173dd9ed154b429ac13e69fef611be); });
#以下代码可以在研究中生成图表大图 render.html
chart.show_chart(height=600,width=1000).render()【转载】研究中完美显示K线图:缩放、拖动、多图MACD叠加相关推荐
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