TypeError: dtype '<class 'datetime.date'>' not understood ; while converting Date of DataFrame?

Question

我正在编写以下代码，从雅虎财经获取数据并绘制数据以进行股票技术分析。

import pandas as pd
import pandas_datareader.data as web
import datetime as dt
import matplotlib.pyplot as plt
import mpl_finance
from mpl_finance import candlestick_ohlc
import matplotlib.dates as mdates

ticker = 'MCD'
start = dt.date(2014, 1, 1)

#Gathering the data
data = web.DataReader(ticker, 'yahoo', start)


#Calc moving average
data['MA10'] = data['Adj Close'].rolling(window=10).mean()
data['MA60'] = data['Adj Close'].rolling(window=60).mean()
data.reset_index(inplace=True)
data['Date']=mdates.date2num(data['Date'].astype(dt.date))

收到此错误

TypeError: dtype '<class 'datetime.date'>' not understood

Answer 1

如果将日期列设置为'datetime.Index' 格式并将其设置为索引，将显示图表。 No conversion is required.try it.The 已部分更正要导入的库的设置。

import pandas as pd
import pandas_datareader.data as web
import datetime as dt
import matplotlib.pyplot as plt
import mplfinance as mpf
from mplfinance.original_flavor import candlestick_ohlc
import matplotlib.dates as mdates

ticker = 'MCD'
start = dt.date(2014, 1, 1)

#Gathering the data
data = web.DataReader(ticker, 'yahoo', start)

#Calc moving average
data['MA10'] = data['Adj Close'].rolling(window=10).mean()
data['MA60'] = data['Adj Close'].rolling(window=60).mean()
data.reset_index(inplace=True)
# data['Date']=mdates.date2num(data['Date'].astype(dt.date))
data['Date'] = pd.to_datetime(data['Date'])
data.set_index('Date', inplace=True)

TypeError: dtype '<class 'datetime.date'>' not understood ; while converting Date of DataFrame?

TypeError: dtype '<class 'datetime.date'>' not understood ; while converting Date of DataFrame?

python

dataframe

yahoo-finance