#!/usr/bin/env python
# coding: utf-8

# # Python Crypto Assignment 1: Visualizing Crypto Price Data using Line chart

# ### import modules

# In[31]:


import requests
import datetime
import pandas as pd
import matplotlib.pyplot as plt


# ### Define Get Daily Price Method

# In[32]:


def daily_price_historical(symbol, comparison_symbol, all_data=False, limit=1, aggregate=1, exchange=''):
    url = 'https://min-api.cryptocompare.com/data/histoday?fsym={}&tsym={}&limit={}&aggregate={}'\
            .format(symbol.upper(), comparison_symbol.upper(), limit, aggregate)
    if exchange:
        url += '&e={}'.format(exchange)
    if all_data:
        url += '&allData=true'
    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


# ### Call Method And Plot Data Manually

# In[39]:


data = daily_price_historical('BTC', 'USD', all_data=True)
# print (data.high, data.timestamp)
plt.plot(data.timestamp, data.high)
plt.title('BTC To USD')
plt.ylabel('Price In USD')
plt.xlabel('Year')
plt.show()


# ### Define Method For Ploting

# In[57]:


def plotData (symbol, comparison_symbol="USD", all_data=False, limit=30):
    data = daily_price_historical(symbol, comparison_symbol, all_data, limit)
    # print (data.high, data.timestamp)
    fg = plt.figure(figsize=(20,10))
    plt.plot(data.timestamp, data.high)
    plt.title(symbol + ' To ' + comparison_symbol, fontsize=24)
    plt.ylabel('Price In ' + comparison_symbol, fontsize=18)
    plt.xlabel('Year', fontsize=18)
    plt.show()


# In[58]:


plotData('BTC', 'USD', True)


# In[59]:


plotData('ETC', 'USD', True)


# In[61]:


plotData('LTC', 'USD', True)