- MacOS Sierra 10.12.6
- Python 3.5.3 :: Anaconda 4.4.0 (x86_64)
- Jupyter 4.3.0

import pandas as pd
from pandas import Series,DataFrame
import numpy as np
from datetime import datetime
import time
import json
import requests
import csv
import sys, codecs

date = datetime.now().strftime("%Y/%m/%d %H:%M:%S")

response = requests.get('https://api.zaif.jp/api/1/last_price/btc_jpy')
if response.status_code != 200:
    raise Exception('return status code is {}'.format(response.status_code))
res_dict = json.loads(response.text)
btc_price = res_dict['last_price']
#[現在時刻、売買価格]のリストを作成
btc_list = [date, btc_price]

f = open("/var/www/html/zaif/btc.csv", "a")
writer = csv.writer(f, lineterminator='\n')
writer.writerow(btc_list)
f.close()

0,5,10,15,20,25,30,35,40,45,50,55 * * * * export LANG=ja_JP.UTF-8; runipy /home/user/Get_Zaif_data.ipynb

import pandas as pd
from pandas import Series,DataFrame
import numpy as np
from datetime import datetime
import time
import json
import requests
import csv
import matplotlib.pyplot as plt
from matplotlib.pylab import rcParams
%matplotlib inline
import seaborn as sns
sns.set_style('whitegrid')
rcParams['figure.figsize'] = 20, 10
from matplotlib.dates import DateFormatter

btc_df = pd.read_csv("/var/www/html/zaif/btc.csv", names = ("date", "BTC price"))

btc_df = btc_df[-864:-1]

date_df = btc_df["date"].str[10:16]
btc_df = pd.concat([date_df, btc_df["BTC price"]], axis=1)

rm = btc_df.set_index("date").rolling(window=24).mean()
rstd = btc_df.set_index("date").rolling(window=24).std()
upper_band = rm + rstd * 2
lower_band = rm - rstd * 2

ax = btc_df.set_index("date").plot()
rm.columns = ["Rolling mean"]
rm.plot(ax=ax, color="#8FBC8F")
upper_band.columns = ["Upper band"]
upper_band.plot(ax=ax, color="#F4A460")
lower_band.columns = ["Lower band"]
lower_band.plot(ax=ax, color="#F4A460")
plt.legend(loc='best',
           fontsize=14,
           borderaxespad=0.,)
plt.tick_params(labelsize=14)
plt.savefig("/var/www/html/zaif/btc.png")