Python3下使用mplfinance绘制K线图时如何修正网格线对齐问题？

问题现象 #

绘制的垂直网格线与实际K线未对齐。
第一个K线之后，部分垂直网格线偏移了1根K线。

问题示例图：

复现代码 #

from binance.client import Client
import pandas as pd
import time
import mplfinance as mpf
import matplotlib.pyplot as plt
from datetime import datetime, timedelta


def klines_to_df(df_trading_pair):
    
    #drop unnecesary columns
    df_trading_pair.drop(7, inplace = True, axis=1)
    df_trading_pair.drop(8, inplace = True, axis=1)
    df_trading_pair.drop(9, inplace = True, axis=1)
    df_trading_pair.drop(10, inplace = True, axis=1)
    df_trading_pair.drop(11, inplace = True, axis=1)
    
    # Rename the column names for best practices
    df_trading_pair.rename(columns = { 0 : 'Start Date', 
                              1 : 'Open Price',
                              2 : 'High Price',
                              3 : 'Low Price',
                              4 :'Close Price',
                              5 : 'Volume',
                              6 :'End Date',
                              }, inplace = True)
    
    # Convert Unix Time values to actual dates
    df_trading_pair['Start Date'] = pd.to_datetime(df_trading_pair['Start Date'], unit='ms')
    df_trading_pair['End Date'] = pd.to_datetime(df_trading_pair['End Date'], unit='ms')
    df_trading_pair = df_trading_pair.astype({'Open Price': 'float'})
    df_trading_pair = df_trading_pair.astype({'High Price': 'float'})
    df_trading_pair = df_trading_pair.astype({'Low Price': 'float'})
    df_trading_pair = df_trading_pair.astype({'Close Price': 'float'})
    df_trading_pair = df_trading_pair.astype({'Volume': 'float'})
    
    return df_trading_pair

def set_DateTimeIndex(df_trading_pair):
    df_trading_pair = df_trading_pair.set_index('Start Date', inplace=False)
    # Rename the column names for best practices
    df_trading_pair.rename(columns = { "Open Price" : 'Open',
                                       "High Price" : 'High',
                                       "Low Price" : 'Low',
                                       "Close Price" :'Close',
                              }, inplace = True)
    return df_trading_pair

api_key = "your_api_key"

secret_key = "your_secret_key"

client = Client(api_key= api_key, api_secret= secret_key, tld= "com")

trading_pair= "DOTBUSD"

#get historical klines 60m ago UTC in the 3m timeframe
klines = client.futures_historical_klines(symbol=trading_pair, interval="3m", start_str = "1662914700", end_str="1662918120")

# Customize the df_trading_pair that stored klines
df_trading_pair = klines_to_df(pd.DataFrame(klines))

# Create another df just to properly plot the data
df_trading_pair_date_time_index = set_DateTimeIndex(df_trading_pair)

# Plotting
# Create my own `marketcolors` style:
mc = mpf.make_marketcolors(up='#2fc71e',down='#ed2f1a',inherit=True)
# Create my own `MatPlotFinance` style:
s  = mpf.make_mpf_style(base_mpl_style=['bmh', 'dark_background'],marketcolors=mc, y_on_right=True)    

# Plot it
trading_plot, axlist = mpf.plot(df_trading_pair_date_time_index,
                    figratio=(10, 6),
                    type="candle",
                    style=s,
                    tight_layout=True,
                    datetime_format = '%H:%M',
                    ylabel = "Precio ($)",
                    returnfig=True
                    )
# Add Title
symbol = trading_pair.replace("BUSD","").strip()+"/"+"BUSD"
axlist[0].set_title(f"{symbol} - 3m", fontsize=25, style='italic', fontfamily='fantasy')

已尝试的解决方案 #

• 修改figratio参数为(12,6)和(20,7)，未解决问题

期望效果 #

实现网格线与部分K线对应对齐，示例如下：

内容的提问来源于stack exchange，提问作者NoahVerner