Dochian Channels With mpl_Finance

Those Who Looks For Dochian Channel with mpl_finance

import OfflineData # Function Fetch Data From Mysql Stored Candle
import pandas_ta as ta
import mplfinance as mpl

df = OfflineData.getStockData('tcs')
df.tail(2)

348.0 | 3361.9 | 3404.95 | 3359.00 | 3378.0 | 1333840.0
349.0 | 3364.0 | 3396.00 | 3330.85 | 3390.4 | 1844590.0

donchiandf = ta.donchian(df["High"], df["Low"], lower_length=10, upper_length=15)
donchiandf.tail(2)

DCU = donchiandf[['DCU_10_15']]
DCM = donchiandf[['DCM_10_15']]
DCL = donchiandf[['DCL_10_15']]

apds = [
    mpl.make_addplot(DCU,color='#2962FF',panel=0,),
    mpl.make_addplot(DCM,color='#FF6D00',panel=0,),
    mpl.make_addplot(DCL,color='#2962FF',panel=0,),
]

mpl.plot(
    df,
    volume=True,
    type="candle",
    style="yahoo",
    addplot=apds,
    figscale=1.2,
    figsize=(46,26,)
)

未指定任何 repository 文件、测试或入口点。使用所示数据复现提供的 Python 示例，然后检查 mplfinance 的绘图路径，并明确预期的 Donchian 通道渲染方式，再确定修复需要证明什么。