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Keep original timestamp in dataframe
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@ -248,7 +248,7 @@ def trades_to_ohlcv(trades: DataFrame, timeframe: str) -> DataFrame:
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timeframe_minutes = timeframe_to_minutes(timeframe)
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if trades.empty:
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raise ValueError('Trade-list empty.')
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df = trades.set_index('timestamp')
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df = trades.set_index('date', drop=True)
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df_new = df['price'].resample(f'{timeframe_minutes}min').ohlc()
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df_new['volume'] = df['amount'].resample(f'{timeframe_minutes}min').sum()
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@ -218,7 +218,7 @@ class IDataHandler(ABC):
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:return: List of trades
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"""
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trades = trades_df_remove_duplicates(self._trades_load(pair, timerange=timerange))
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trades['timestamp'] = to_datetime(trades['timestamp'], unit='ms', utc=True)
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trades['date'] = to_datetime(trades['timestamp'], unit='ms', utc=True)
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return trades
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def trades_load_aslist(self, pair: str, timerange: Optional[TimeRange] = None) -> TradeList:
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@ -102,7 +102,7 @@ class JsonDataHandler(IDataHandler):
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column sequence as in DEFAULT_TRADES_COLUMNS
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"""
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filename = self._pair_trades_filename(self._datadir, pair)
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data.loc[:, 'timestamp'] = data.loc[:, 'timestamp'].view(np.int64) // 1000 // 1000
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data.loc[:, 'timestamp'] = data.loc[:, 'timestamp']
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trades = data[DEFAULT_TRADES_COLUMNS].values.tolist()
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misc.file_dump_json(filename, trades, is_zip=self._use_zip)
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@ -319,11 +319,11 @@ def test_hdf5datahandler_trades_load(testdatadir):
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# unfiltered load has trades before starttime
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assert len(trades.loc[trades['timestamp'] < timerange.startdt]) >= 0
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assert len(trades.loc[trades['timestamp'] < timerange.startts * 1000]) >= 0
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# filtered list does not have trades before starttime
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assert len(trades2.loc[trades2['timestamp'] < timerange.startts * 1000]) == 0
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# unfiltered load has trades after endtime
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assert len(trades.loc[trades['timestamp'] > timerange.stopdt]) >= 0
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assert len(trades.loc[trades['timestamp'] > timerange.stopts * 1000]) >= 0
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# filtered list does not have trades after endtime
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assert len(trades2.loc[trades2['timestamp'] > timerange.stopts * 1000]) == 0
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# assert len([t for t in trades2 if t[0] > timerange.stopts * 1000]) == 0
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@ -486,7 +486,8 @@ def test_featherdatahandler_trades_load(testdatadir):
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dh = get_datahandler(testdatadir, 'feather')
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trades = dh.trades_load('XRP/ETH')
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assert isinstance(trades, DataFrame)
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assert trades.iloc[0]['timestamp'] == Timestamp('2019-10-11 00:00:11.620000+0000')
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assert trades.iloc[0]['timestamp'] == 1570752011620
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assert trades.iloc[0]['date'] == Timestamp('2019-10-11 00:00:11.620000+0000')
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assert trades.iloc[-1]['cost'] == 0.1986231
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trades1 = dh.trades_load('UNITTEST/NONEXIST')
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