ccxt library in Python to fetch OHLCV data test

fetchOHLCV_test.py

#!/usr/bin/python
import ccxt
import calendar
from datetime import datetim

binance = ccxt.binance()

now = datetime.utcnow()
unixtime = calendar.timegm(now.utctimetuple())
since = (unixtime - 60*60) * 1000 # UTC timestamp in milliseconds

ohlcv = binance.fetch_ohlcv(symbol='ETH/BTC', timeframe='5m', since=since, limit=12)
start_dt = datetime.fromtimestamp(ohlcv[0][0]/1000)
end_dt = datetime.fromtimestamp(ohlcv[-1][0]/1000)

# convert it into Pandas DataFrame
import pandas as pd

df = pd.DataFrame(ohlcv, columns = ['Time', 'Open', 'High', 'Low', 'Close', 'Volume'])
df['Time'] = [datetime.fromtimestamp(float(time)/1000) for time in df['Time']]
df.set_index('Time', inplace=True)

Thanks for this nice example. I realize Time and Open High Low Close Volume are not on the same line, is it possible to make them on the same line for better visualization?

ex:

                         Open      High       Low     Close     Volume
Time
2022-05-15 12:35:00  30210.52  30354.47  30178.55  30291.48  150.28829

@avatar-lavventura Time is set as Index in this Pandas DataFrame object. That's why it shows like this. As this is not visualizing purpose, there is no way to control how it shows in the library in my understanding. Or you may find something in the official document of Pandas. Thanks.

take it easy

import pandas as pd
import ccxt
from datetime import datetime


exchange = ccxt.kucoin()

df = pd.DataFrame(
    exchange.fetch_ohlcv(
        symbol='BTC/USDT', 
        timeframe='5m', 
        # since=since, 
        limit=12
    ),
    columns = ['Time', 'Open', 'High', 'Low', 'Close', 'Volume']
)

df['Time'] = [datetime.fromtimestamp(float(time)/1000) for time in df['Time']]
df.set_index('Time', inplace=True)
print(df)