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Partsofbody · Апрель 10, 2024 23:31:42

xam1816
import pandas as pd
bars = [
{'time': 1632048000, ‘open’: 1.1701, ‘high’: 1.1725, ‘low’: 1.1698, ‘close’: 1.1715, ‘tick_volume’: 0, ‘spread’: 2, ‘real_volume’: 0},
{'time': 1632048060, ‘open’: 1.1716, ‘high’: 1.1722, ‘low’: 1.1714, ‘close’: 1.1717, ‘tick_volume’: 0, ‘spread’: 2, ‘real_volume’: 0},
{'time': 1632048120, ‘open’: 1.1716, ‘high’: 1.1719, ‘low’: 1.1711, ‘close’: 1.1712, ‘tick_volume’: 0, ‘spread’: 2, ‘real_volume’: 0}
]
df = pd.DataFrame(bars)
df = pd.to_datetime(df, unit='s')
last_bar_time = df.iloc
print(df)
print(last_bar_time)
print(df.iloc)
print(last_bar_time == df.iloc)

 import MetaTrader5 as mt5
import pandas as pd
import numpy as np
import time
import datetime as dt
mt5.initialize()
symbol_list = ['EURUSD','BTCUSDT.cfd']
timeframe = mt5.TIMEFRAME_M1
start_pos = 0
num_bars = 63
ema5_period = 5
esma13_period = 13
ema62_period = 62
check_bar = pd.DataFrame(columns = ['time', 'symbol'], index = range(0, len(symbol_list)))
check_bar['time'] = pd.to_datetime(1900-1-1)
check_bar['symbol'] = symbol_list
while True:
    for symbol in symbol_list:
        bars = mt5.copy_rates_from_pos(symbol, timeframe, start_pos, num_bars)
        df = pd.DataFrame(bars)[['time', 'open', 'high', 'low', 'close']]
        df['symbol'] = symbol
        
        df['time'] = pd.to_datetime(df['time'], unit='s')
        df.dropna(inplace=True)
        print(df)
        
        for i in range(0, len(symbol_list)):
            last_bar = check_bar.loc[i, 'time']
            if df.iloc[-1:]['time'] != last_bar:
                print(check_bar.loc[i,'symbol'], 'новый бар!')
                check_bar.loc[i, 'time'] = df.iloc[-1:]['time']
        
        
        time.sleep(5)

Ошибка:
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

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#1 Апрель 10, 2024 23:31:42

Pandas сравнение двух DataFrame

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