我对此了解不多，但在我看来，每个时间线都根据正在发生的事件而被不同地对待。通过将附加的图形组合到进程的mpl侧，它可以被正确地显示。我不知道在您的环境中是否会显示警告，但我已经添加了错误消息中的设置，因为当数据量很大时会显示警告。

import yfinance as yf
import mplfinance as mpf
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import pandas as pd
# Dates to get stock data
start_date = "2010-07-01"
end_date = "2023-06-17"
# Fetch Tesla stock data
tesla_data = yf.download("TSLA", start=start_date, end=end_date)
tesla_weekly_data = tesla_data.resample("W").agg(
    {"Open": "first", "High": "max", "Low": "min", "Close": "last", "Volume": "sum"}
).dropna()
# Get the latest closing price
latest_price = tesla_weekly_data['Close'][-1]
# Calculate the EMA with different lengths
ema_lengths = [8, 13, 21, 55]
ema_colors = ['blue', 'green', 'yellow', 'red']
ema_lines = []
for length, color in zip(ema_lengths, ema_colors):
    ema_line = tesla_weekly_data['Close'].ewm(span=length, adjust=False).mean()
    ema_lines.append(ema_line)
# Create additional plot
apds = []
close_price = tesla_weekly_data['Close']
apds.append(mpf.make_addplot(close_price, color='cyan', width=2))
# Add EMA lines
for ema_line, color in zip(ema_lines, ema_colors):
    apds.append(mpf.make_addplot(ema_line, color=color))
# Plot the candlestick chart with EMA lines
fig, axes = mpf.plot(tesla_weekly_data,
                     type='candle',
                     addplot=apds, # update
                     style='yahoo',
                     title='Tesla Stock Prices',
                     ylabel='Price',
                     #xlabel='Date',
                     volume=True,
                     ylabel_lower='Volume',
                     volume_panel=1,
                     figsize=(16, 8),
                     returnfig=True,
                     warn_too_much_data=2800, # update: 677 records x 4 lines
                    )
# Move the y-axis labels to the left side
axes[0].yaxis.tick_left()
axes[1].yaxis.tick_left()
# Adjust the position of the y-axis label for price
axes[0].yaxis.set_label_coords(-0.08, 0.5)
# Adjust the position of the y-axis label for volume
axes[1].yaxis.set_label_coords(-0.08, 0.5)
# Set y-axis label for price and volume
axes[0].set_ylabel('Price', rotation=0, labelpad=20)
axes[1].set_ylabel('Volume', rotation=0, labelpad=20)
# Make the legend box
handles = axes[0].get_legend_handles_labels()[0]
red_patch = mpatches.Patch(color='red')
green_patch = mpatches.Patch(color='green')
cyan_patch = mpatches.Patch(color='cyan')
handles = handles[:2] + [red_patch, green_patch, cyan_patch]
labels = ["Price Up", "Price Down", "Closing Price"]
axes[0].legend(handles=handles, labels=labels)
# Add a box to display the current price
latest_price_text = f"Current Price: ${latest_price:.2f}"
box_props = dict(boxstyle='round', facecolor='white', edgecolor='black', alpha=0.8)
axes[0].text(0.02, 0.95, latest_price_text, transform=axes[0].transAxes,
             fontsize=12, verticalalignment='top', bbox=box_props)
# Display the chart
plt.show()