In [1]:
import csv
import requests
import datetime
import pandas as pd
import matplotlib.pyplot as plt
In [2]:
import matplotlib.pyplot as plt
%matplotlib inline
plt.style.use('fivethirtyeight')
In [3]:
# Pretty print the JSON
import uuid
from IPython.display import display_javascript, display_html, display
import json

class RenderJSON(object):
    def __init__(self, json_data):
        if isinstance(json_data, dict):
            self.json_str = json.dumps(json_data)
        else:
            self.json_str = json_data
        self.uuid = str(uuid.uuid4())

    def _ipython_display_(self):
        display_html('<div id="{}" style="height: 600px; width:100%;"></div>'.format(self.uuid), raw=True)
        display_javascript("""
        require(["https://rawgit.com/caldwell/renderjson/master/renderjson.js"], function() {
        document.getElementById('%s').appendChild(renderjson(%s))
        });
        """ % (self.uuid, self.json_str), raw=True)
In [4]:
def price(symbol, comparison_symbols=['USD'], exchange=''):
    url = 'https://min-api.cryptocompare.com/data/price?fsym={}&tsyms={}'\
            .format(symbol.upper(), ','.join(comparison_symbols).upper())
    if exchange:
        url += '&e={}'.format(exchange)
    page = requests.get(url)
    data = page.json()
    return data
In [5]:
price('BTC', exchange='Poloniex')
Out[5]:
{'USD': 8485}
In [6]:
price('BTC', ['BTC', 'ETH', 'USD'])
Out[6]:
{'BTC': 1, 'ETH': 10.03, 'USD': 8498.04}
In [7]:
def daily_price_historical(symbol, comparison_symbol, limit=1, aggregate=1, exchange='', allData='true'):
    url = 'https://min-api.cryptocompare.com/data/histoday?fsym={}&tsym={}&limit={}&aggregate={}&allData={}'\
            .format(symbol.upper(), comparison_symbol.upper(),limit,aggregate, allData)
    if exchange:
        url += '&e={}'.format(exchange)
    page = requests.get(url)
    data = page.json()['Data']
    df = pd.DataFrame(data)
    df['timestamp'] = [datetime.datetime.fromtimestamp(d) for d in df.time]
    return df
In [8]:
df = daily_price_historical('BTC', 'USD')
print('Max length = %s' % len(df))
print('Max time = %s' % (df.timestamp.max() - df.timestamp.min()))
df.head()
df.to_csv('btc_day.csv')

Max length = 2768
Max time = 2766 days 23:00:00
In [9]:
plt.plot(df.timestamp, df.close)
plt.xticks(rotation=45)
plt.show()
In [10]:
def hourly_price_historical(symbol, comparison_symbol, limit, aggregate, exchange=''):
    url = 'https://min-api.cryptocompare.com/data/histohour?fsym={}&tsym={}&limit={}&aggregate={}'\
            .format(symbol.upper(), comparison_symbol.upper(), limit, aggregate)
    if exchange:
        url += '&e={}'.format(exchange)
    page = requests.get(url)
    data = page.json()['Data']
    df = pd.DataFrame(data)
    df['timestamp'] = [datetime.datetime.fromtimestamp(d) for d in df.time]
    return df
In [11]:
time_delta = 1 # Bar width in hours
df = hourly_price_historical('BTC', 'USD', 9999, time_delta)
print('Max length = %s' % len(df))
print('Max time = %s' % (df.timestamp.max() - df.timestamp.min()))

plt.plot(df.timestamp, df.close)
plt.xticks(rotation=45)
plt.show()
df.to_csv('btc_hour.csv')

Max length = 2001
Max time = 83 days 08:00:00
In [12]:
time_delta = 24 # Bar width in hours
df = hourly_price_historical('BTC', 'USD', 9999, time_delta)
print('Max length = %s' % len(df))
print('Max time = %s' % (df.timestamp.max() - df.timestamp.min()))

plt.plot(df.timestamp, df.close)
plt.xticks(rotation=45)
plt.show()
df.to_csv('btc_24_hour.csv')

Max length = 84
Max time = 83 days 00:00:00
In [13]:
def minute_price_historical(symbol, comparison_symbol, limit, aggregate, exchange=''):
    url = 'https://min-api.cryptocompare.com/data/histominute?fsym={}&tsym={}&limit={}&aggregate={}'\
            .format(symbol.upper(), comparison_symbol.upper(), limit, aggregate)
    if exchange:
        url += '&e={}'.format(exchange)
    page = requests.get(url)
    data = page.json()['Data']
    df = pd.DataFrame(data)
    df['timestamp'] = [datetime.datetime.fromtimestamp(d) for d in df.time]
    return df
In [14]:
time_delta = 1 # Bar width in minutes
df = minute_price_historical('BTC', 'USD', 9999, time_delta)
print('Max length = %s' % len(df))
print('Max time = %s' % (df.timestamp.max() - df.timestamp.min()))

plt.plot(df.timestamp, df.close)
plt.xticks(rotation=45)
plt.show()
df.to_csv('btc_minute.csv')

Max length = 2001
Max time = 1 days 09:20:00
In [15]:
def coin_list():
    url = 'https://www.cryptocompare.com/api/data/coinlist/'
    page = requests.get(url)
    data = page.json()['Data']
    return data
In [16]:
data = coin_list()
RenderJSON(data)