我找不到将 pandas 时间戳转换为 matplotlib 图的日期的方法

Question

在过去的几天里，我已经尝试了无数次，但似乎找不到解决方案。

这是我当前的代码和一些评论：

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output ：

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：

我已经尽可能多地清理了代码，使其更易于阅读和理解。

Answer 1

查看 Python 文档的日期：

https://docs.python.org/3.8/library/datetime.html

你正在寻找

return '{:%b}'.format(a)

Answer 2

to_datetime 已被弃用...

尝试使用：

a = a.date()

或者

to_pydatetime()