chart a stock

mongo1.py

%matplotlib inline

import matplotlib
import numpy as np
import matplotlib.pyplot as plt
from pymongo import MongoClient
from bson.objectid import ObjectId
import dateutil.parser

start_date_str = "2015-04-25T07:00:00Z"
start_date = dateutil.parser.parse(start_date_str) 

end_date_str = "2015-08-25T07:00:00Z"
end_date = dateutil.parser.parse(end_date_str) 

client = MongoClient("mongodb://192.168.0.10:27017")
db = client.dronzets

cursor = db.daily_measures.find({"code" : "AAPL_CLOSE_ARD", 
                                 "date": { "$gte": start_date, "$lt": end_date }
                                })
days = []
prices = []
for document in cursor:
    days.append(document['date'])
    prices.append(document['value'])
    
plt.plot(days, prices)

plt.xlabel('Time')
plt.ylabel('Price ($)')
plt.title('AAPL_CLOSE_ARD')
plt.grid(True)

N = 2
params = plt.gcf()
plSize = params.get_size_inches()
params.set_size_inches( (plSize[0]*N, plSize[1]) )

plt.show()