bitcoin.py

import pandas as pd
import numpy as np
import plotly.graph_objects as go
from plotly.offline import plot
import matplotlib.pyplot as plt
import datetime
from pycoingecko import CoinGeckoAPI
#from mplfinance import candlestick2_ohlcs

cg = CoinGeckoAPI()

bitcoin_data = cg.get_coin_market_chart_by_id(id = 'bitcoin', vs_currency= 'usd', days= 30)

bitcoin_price_data = bitcoin_data['prices']

bitcoin_price_data[0:5]

data = pd.DataFrame(bitcoin_price_data, columns=['TimeStamp', 'Price'])

data['date'] = data['TimeStamp'].apply(lambda d: datetime.date.fromtimestamp(d/1000.0))

#.agg is used to apply function in series
candlestick_data = data.groupby(data.date, as_index=False).agg({"Price": ['min', 'max', 'first', 'last']})

fig = go.Figure(data=[go.Candlestick(x=candlestick_data['date'],
                open=candlestick_data['Price']['first'], 
                high=candlestick_data['Price']['max'],
                low=candlestick_data['Price']['min'], 
                close=candlestick_data['Price']['last'])
                ])

fig.update_layout(xaxis_rangeslider_visible=True)

fig.show()