data-visualisation-part2.py

#!/usr/bin/python
# -*- coding: utf-8 -*-
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import matplotlib.dates as mdates
from matplotlib.dates import bytespdate2num
import numpy as np
from matplotlib import style
style.use('ggplot')


def graphRawFX():
    (date, bid, ask) = np.loadtxt('GBPUSD1d.txt', unpack=True,
                                  delimiter=',',
                                  converters={0: mdates.bytespdate2num('%Y%m%d%H%M%S'
                                  )})
    fig = plt.figure(figsize=(10, 7))
    ax1 = plt.subplot2grid((40, 40), (0, 0), rowspan=40, colspan=40)
    ax1.plot(date, bid)
    ax1.plot(date, ask)
    ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M:%S'
                                  ))
    plt.grid(True)
    for label in ax1.xaxis.get_ticklabels():
        label.set_rotation(45)
    plt.subplots_adjust(bottom=.23)
    plt.gca().get_yaxis().get_major_formatter().set_useOffset(False)
    ax1_2 = ax1.twinx()
    ax1_2.fill_between(date, 0, ask - bid, facecolor='g', alpha=.3)
    plt.subplots_adjust(bottom=.23)
    plt.show()


graphRawFX()