Resample indicator in init function

[monil shah 0]

This is an example code for my problem. Any particular way if I can resample the data in init function.

class firstStrategy(bt.Strategy):

    def __init__(self):

        # TODO: Resample data to daily, weekly or monthly
        self.pivot = bt.indicators.PivotPoint(self.data)


    def next(self):
        print("{} C: {} PP: {}".format(self.data.datetime.datetime(), self.data.close[0], self.pivot.lines.p[0]))

# Variable for our starting cash
startcash = 10000000000

# Create an instance of cerebro
cerebro = bt.Cerebro()

# Add our strategy
cerebro.addstrategy(firstStrategy)

data = store.getdata(dataname='AAPL', historical=True,
                     timeframe=bt.TimeFrame.Minutes, compression=5, fromdate=datetime.date(2020, 5, 26),
                     todate=datetime.date(2020, 8, 30))

# Add the data to Cerebro
cerebro.adddata(data)
# cerebro.resampledata(data, name='data2', timeframe=bt.TimeFrame.Minutes, compression=5)

# Set our desired cash start
cerebro.broker.setcash(startcash)


# Run over everything
strategies = cerebro.run()
firstStrat = strategies[0]

# Get final portfolio Value
portvalue = cerebro.broker.getvalue()

# Print out the final result
print('Final Portfolio Value: ${}'.format(portvalue))

# Finally plot the end results
cerebro.plot(style='candlestick')

[run-out]

Data gets resampled when adding to cerebro, then you can access this in init or other places.