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

# # **Sipnner**
# - https://separk92.tistory.com/20 : Python 으로 Spinner 구현하기

# In[1]:


# https://github.com/pavdmyt/yaspin
import time
from yaspin import yaspin

# Context manager:
with yaspin():
    time.sleep(3)  # time consuming code


# In[2]:


# Function decorator:
@yaspin(text="Loading...")
def some_operations():
    time.sleep(3)  # time consuming code

some_operations()


# In[3]:


get_ipython().run_line_magic('matplotlib', 'inline')
get_ipython().run_line_magic('config', "InlineBackend.figure_format = 'retina'")
import warnings
import matplotlib.pyplot as plt
from matplotlib.font_manager import fontManager as fm

plt.style.use('seaborn') # 'seaborn-colorblind'
plt.rc('axes', unicode_minus=False)
warnings.simplefilter(action='ignore', category=FutureWarning)
font_list_check  = ['D2Coding', 'NanumGothicCoding', 'NanumGothic']
for font in font_list_check:
    font_counts = [ f  for f in font_list_check 
        if font in [_.name for _ in fm.ttflist]]
    if len(font_counts) > 1: 
        print(f"found : {font}"); break
        
# 폰트 적용하기
plt.rc('font', family=font)        


# In[4]:


# Raw Package
import numpy as np
import pandas as pd

#Data Source
import yfinance as yf

#Data viz
import plotly.graph_objs as go

# Get Bitcoin data
data = yf.download(tickers='BTC-USD', period = '22h', interval = '15m')

#declare figure
fig = go.Figure()

#Candlestick
fig.add_trace(go.Candlestick(x=data.index,
                open=data['Open'],
                high=data['High'],
                low=data['Low'],
                close=data['Close'], name = 'market data'))

# Add titles
fig.update_layout(
    title='Bitcoin live share price evolution',
    yaxis_title='Bitcoin Price (kUS Dollars)')

# X-Axes
fig.update_xaxes(
    rangeslider_visible=True,
    rangeselector=dict(
        buttons=list([
            dict(count=15, label="15m", step="minute", stepmode="backward"),
            dict(count=45, label="45m", step="minute", stepmode="backward"),
            dict(count=1, label="HTD", step="hour", stepmode="todate"),
            dict(count=6, label="6h", step="hour", stepmode="backward"),
            dict(step="all")
        ])
    )
)

#Show
fig.show()