GenericCSVData does not take time, only takes date

bng

import backtrader as bt

class Database:

def __init__(self, timeStamp):
    self.timeStamp= timeStamp.upper()
    
def getBtCSVdata(self):
    '''
    This method will return backtrader CSV data to feed directly
    '''
    fn = 'D://Data//your_csv_file.csv'
    if self.timeStamp == 'DAY':
        # For daily data
        dateformat = '%Y-%m-%d'
        timeformat = None
    else:
        # For 1min or 5min or 15min or 30min data
        dateformat = '%Y-%m-%d %H:%M:%S'
        timeformat = '%H:%M:%S'
    
    btCSVData = bt.feeds.GenericCSVData(dataname=fn,
                                   header = False,
                                   dtformat = dateformat,
                                   tmformat = timeformat,
                                   nullvalue = 0.0,
                                   datetime = 0,
                                   open = 1,
                                   high = 2,
                                   low = 3,
                                   close = 4,
                                   volume = 5,
                                   openinterest = -1)
    
    return btCSVData

#==========================================================

class TestStrategy(bt.Strategy):

def log(self, txt, dt=None):
    ''' Logging function for this strategy'''
    dt = dt or self.datas[0].datetime.datetime(0)
    print('%s, %s' % (dt.isoformat(), txt))

def __init__(self):
    # Keep a reference to the "close" line in the data[0] dataseries
    self.dataclose = self.datas[0].close

def next(self):
    # Simply log the closing price of the series from the reference
    self.log('Close, %.2f' % self.dataclose[0])

if name == 'main':

cerebro = bt.Cerebro()

# Add a strategy
cerebro.addstrategy(TestStrategy)

# Create a Data Feed
ds = Database('1min')
#ds.updateFromAlphavantage()

data1 = ds.getBtCSVdata()

# Add the Data Feed to Cerebro
cerebro.adddata(data1)

# Set our desired cash start
cerebro.broker.setcash(100000.0)

# Print out the starting conditions
print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())

# Run over everything
cerebro.run()

# Print out the final result
print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())

#=================================
My CSV data are as follows:

2019-03-13 15:25:00,148.70,148.80,148.70,148.70,92180,0.00
2019-03-13 15:26:00,148.55,148.65,148.55,148.60,102998,0.00
2019-03-13 15:27:00,148.55,148.60,148.45,148.45,98636,0.00
2019-03-13 15:28:00,148.50,148.60,148.50,148.55,73246,0.00
2019-03-13 15:29:00,148.55,148.75,148.45,148.75,75646,0.00
#=======================================
The output of backtrader is follows:

Starting Portfolio Value: 100000.00
2019-03-13T23:59:59.999989, Close, 148.60
2019-03-13T23:59:59.999989, Close, 148.45
2019-03-13T23:59:59.999989, Close, 148.55
2019-03-13T23:59:59.999989, Close, 148.75
Final Portfolio Value: 100000.00
#====================
How do I import the CORRECT time data in my programme?

ab_trader

You need to specify timeframe and compression for data feed added.

bng

Thank you @ab_trader very much to help me.