AttributeError: int对象没有属性'to_pydatetime‘

Question

我无法理解错误-- AttributeError：'int‘对象没有属性' to _pydatetime'，如果有人能在这方面帮助我，我会非常感激的。

from datetime import date, datetime
import pandas as pd
import backtrader as bt

file_name = 'fromstart/2021 APR NIFTY.txt'
dataframe = pd.read_csv(file_name)
data = bt.feeds.PandasData(
    dataname = dataframe,
    fromdate = datetime(2021, 1, 1),
    todate = datetime(2021, 4, 30),
    )

class AllInOne(bt.Strategy):
    def __init__(self):
        self.dataopen = self.datas[0].open_p      # Keep a reference to the "open" line in the data[0] dataseries
        self.datahigh = self.datas[0].high_p      # Keep a reference to the "high" line in the data[0] dataseries
        self.datalow = self.datas[0].low_p        # Keep a reference to the "low" line in the data[0] dataseries
        self.dataclose = self.datas[0].close_p    # Keep a reference to the "close" line in the data[0] dataseries

    def next(self):
        pass

if __name__ == '__main__' :
    cerebro = bt.Cerebro()  # We initialize the `cerebro` backtester.
    cerebro.adddata(data) # We add the dataset in the Data cell.
    cerebro.addstrategy(AllInOne)
    print('Starting Portfolio Value: {0:8.2f}'.format(cerebro.broker.getvalue()))
    results = cerebro.run()
    print('Final Portfolio Value: {0:8.2f}'.format(cerebro.broker.getvalue()))

数据和堆栈跟踪：

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Answer 1

我也犯了同样的错误，接下来的步骤也对我起了作用。

1. 这是我正在使用的CSV文件数据.

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我认为在读取csv文件时，应该将列"date“和"time".

• Finally，连接起来，指定索引并解析时间.

pathfile = ".../2021-10-11--2021-10-15.csv"
df_data = pd.read_csv(pathfile, delimiter=",", index_col="Datetime", parse_dates= True)

Answer 2

这对我起了作用，为我的自定义数据集提供了信息。

datapath = '../db/stockData/daily/ONGC.csv'
dataframe = pd.read_csv(datapath,
                            parse_dates=True,
                        index_col="timestamp",
                       )

dataframe.index = pd.to_datetime(dataframe.index,format="%Y-%m-%d",utc=True)
data = bt.feeds.PandasData(dataname=dataframe)

cerebro.adddata(data)