prekyba

from pylab import *
import matplotlib.pyplot as plt
from datetime import*
import time
from matplotlib.dates import  DateFormatter, WeekdayLocator, HourLocator, \
     DayLocator, MONDAY
from matplotlib.finance import candlestick,\
     plot_day_summary, candlestick2

#link of 1-minute bars
#http://www.forextester.com/data/datasourcesb?utm_expid=10288340-134.TonnJTxKS9-kS6ERm9mvXg.1&utm_referrer=http%3A%2F%2Fwww.forexfactory.com%2Fshowthread.php%3Ft%3D277091

#DAILY PRICES

#getting array of data, each of the format like ['20010103', '00:00:00', '0.9507', '0.9262', '0.9569', '0.9271']
data=[n.split(',')[1:] for n in open("C:\Users\Public\Downloads\pinigai.csv").read().split()]
#changing each cell of array to form like ({date converted in numeric form}, 1.123, 1.212, 1.463, 1.056)
prices=map(lambda x: (date2num(datetime.strptime(x[0]+x[1], "%Y%m%d%H:%M:%S")), float(x[2]), float(x[5]), float(x[3]), float(x[4])), data)[-200:]
#for n in prices: print n #printig prepared list

def show(prices,M1=False,H1=False,D1=False):
    '''takes daily prices (numeric date, low, high, min, max) and paints graph'''
    mondays = WeekdayLocator(MONDAY)        # major ticks on the mondays
    alldays    = DayLocator()              # minor ticks on the days
    if M1: Formatter = DateFormatter('%Y %b %d %H:%M') #e.g. 2015 Jan 12 15:24
    if H1: Formatter = DateFormatter('%Y %b %d %H:%M') #e.g. 2015 Jan 12 15:24
    if D1: Formatter = DateFormatter('%Y %b %d') # e.g. 2015 Jan 12

    fig, ax = plt.subplots()
    fig.subplots_adjust(bottom=0.2) #bottom of table
    if D1: ax.xaxis.set_major_locator(WeekdayLocator(MONDAY)) #scales Ox axis highlighting Mondays
    if M1: ax.xaxis.set_major_locator(MinuteLocator(interval=10)) #scales Ox axis highlighting every ten minutes
    if H1: ax.xaxis.set_major_locator(HourLocator(interval=100)) #scales Ox axis highlighting Mondays ###############
    ax.xaxis.set_minor_locator(alldays)
    ax.xaxis.set_major_formatter(Formatter) #format of writing dates #############
    if M1: wid=0.0006
    if H1: wid=0.6
    if D1: wid=0.6
    candlestick(ax, prices, width=wid, colorup='g', colordown='r') ###########

    ax.xaxis.set_ticks_position('bottom') #direction of gradation ticks
    ax.yaxis.set_ticks_position('left')
    ax.tick_params(axis='both', direction='out', width=2, length=8,
                   labelsize=12, pad=8) #highlighted gradation ticks

    ax.set_xlabel('TIME')
    ax.set_ylabel('EUR/USD')
    ax.xaxis_date() #don't know
    ax.autoscale_view() #responsible for graph position in the table - not neccessarry
    plt.setp( plt.gca().get_xticklabels(), rotation=25, horizontalalignment='right')
    plt.show()

#prices=prices[10:240]
#show(prices,H1=True)

#READING 1M PRICES
import fileinput
prices=[]
i=0
for n in fileinput.input("C:\Users\Public\Downloads\EURUSD.txt"):
    prices.append(eval(n))
    i+=1
    if i==300: break

show(prices,M1=True)