过去几天我一直在尝试无数次，但似乎找不到解决方法。

这是我的当前代码，其中包含一些注释：

import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.dates as mdates
import datetime
import pandas_datareader.data as web
import matplotlib.ticker as ticker
from mpl_finance import candlestick2_ohlc
from matplotlib.dates import (MONDAY,DateFormatter,MonthLocator,WeekdayLocator,date2num)



# Define start and end date
end = datetime.datetime.now()
start = end - datetime.timedelta(days=63)

# Load data for the specific stock
quotes = web.DataReader('AAPL','yahoo',start,end)
quotes['Date'] = quotes.index
# Order the dataframe
quotes = quotes[['Date','Open','High','Low','Close']]
#          2019-09-16  217.729996  220.130005  217.559998  219.899994    

fig,ax = plt.subplots()
candlestick2_ohlc(  ax,quotes['Open'],quotes['High'],quotes['Low'],quotes['Close'],width=0.5,colorup='g',colordown='r')

#ax.xaxis.set_major_locator(ticker.MaxNLocator(8))#I was just testing with this

def mydate(x,pos):
    try: 
        a = quotes['Date'][int(x)]
        # print(a) --> 2019-11-04 00:00:00  
        # type(a) --> <class 'pandas._libs.tslibs.timestamps.Timestamp'>
        a = pd.to_datetime(a) # doesn't work
        return a
    except IndexError:
        return ''

ax.xaxis.set_major_formatter(ticker.FuncFormatter(mydate))

fig.autofmt_xdate()
fig.tight_layout()        
plt.show()

这是输出：

如您所见，它显示的日期如下： 2019-11-04 00:00:00

我的目标是显示这样的日期：

我已尽力清理代码，以使其更易于阅读和理解。