• 利用pyecharts包，在Jupyter里画K线图
• 需要传入的参数有两类：
  
  • 第一类即包含股价数据的表格，表格中需要包含的数据为：
    
    • date或/和time
    • open ,close, high, low
    • volume
  • 第二类为N日均线的“N”，可为空，也可同时输入多个N
    

p)def klineplot(table_name,*avg_line):
    from IPython.core.display import display, HTML
    from pyecharts import Kline
    from pyecharts import Line
    from pyecharts import Bar
    from pyecharts import Overlap
    from pyecharts import Grid
    import warnings
    import pandas as pd
    da=pd.DataFrame(data=table_name)
    for i in range(len(da)):
        if da["volume"][i] < 0:
            da["volume"][i]=0
    if ("time" in da) and ("date" in da):
        date=da["date"]+" "+da["time"]
    if "time" not in da:
        date=da["date"]
    if "date" not in da:
        date=da["time"]
    for i in range(len(da)):
        y=[da["open"][i],da["close"][i],da["low"][i],da["high"][i]]
        x.append(y)
    kline = Kline()
    kline.add("high",date,x,
            tooltip_tragger="axis",is_datazoom_show=True,tooltip_axispointer_type='cross',
            is_legend_show=False,is_more_utils=True,yaxis_min=(min(da["low"])-(max(da["high"])-min(da["low"]))/4))
    line2=Line()
    p_list=["open","close","low"]
    for i in p_list:
        line2.add(i,date,da[i],tooltip_tragger="axis",line_opacity=0)
    ma_list=avg_line
    if len(ma_list)>0:
        line1=Line()
        for ma in ma_list:
            da['MA_' + str(ma)] = pd.rolling_mean(da['close'], ma)
            line1.add("MA_%r"%ma,date,da['MA_' + str(ma)],tooltip_tragger="axis")
    bar = Bar()
    bar.add("volume", date, da["volume"],tooltip_tragger="axis",is_legend_show=False,is_yaxis_show=False,yaxis_max=5*max(da["volume"]))
    overlap = Overlap()
    overlap.add(kline)
    overlap.add(line2)
    if len(ma_list)>0:
        overlap.add(line1)
    overlap.add(bar,yaxis_index=1, is_add_yaxis=True)
    display(HTML(overlap._repr_html_()))
    warnings.filterwarnings("ignore")