一周的可转债1分钟k线图

通过网盘分享的文件：algolab.rar
链接: https://pan.baidu.com/s/1H_4-ArwY8LgjAYiKRLx5eA 提取码:

代码

    
    weeknum_=4 #5
    fig,ax=gs.plt.subplots()
    import candleplotter as cplt
    title=''
    col_cycler=gs.mpl.rcParams['axes.prop_cycle']
    # print(cycler.__iter__().__next__()['color'])
    weekday_dict=dict(zip(range(1,6,1), range(100, 125, 5)))
    for name, coldict in zip(
            sorted(set(df[df.weeknum==weeknum_]['datestr'])),
            col_cycler,
            ):
        dfgroup = df[df.weeknum==weeknum_].groupby(by='datestr').get_group(name)
        value0 = gs.deepcopy(dfgroup.open.iloc[0])
        weekday = dfgroup.index[-1].isocalendar()[2]
        value1 = weekday_dict[weekday]
        for column in 'open high low close vwap'.split():
            dfgroup[column] = dfgroup[column] / value0 * value1
        # print(dfgroup)
        cp = cplt.CandlePlotter(dfgroup, 
                    p=dict(code=kzz.code, dname=kzz.name, 
                           freq=f'{gs.Loaddata.lidu[catalog]}分钟K线数据',
                           ),
                    )
        cp.p['figsize'] = [12,8] #plt.rcParams['figure.figsize']
        cp.p['title'] = title or '蜡烛图和技术指标'
        cp._candles(ax=ax, fig=fig, **coldict) #dict(list(col_cycler)[0]))
        
        label= dfgroup.index[-1].isoformat()[:10] + f'({cp.cweekday[str(weekday)]})'
        cp._plot_trend(cols=['vwap'], 
                       legend=True, label=label, 
                       custom_fig=0, 
                       **coldict)

图件