In [32]:

    

%pylab inline

import pandas as pd
import matplotlib.pyplot as plt

from utils import read_url, parse


    

    




Populating the interactive namespace from numpy and matplotlib

In [35]:

    

SRC_FILE = 'http://ora600.ru:8080/data.csv'

#data = read_url(SRC_FILE).read()
df = pd.io.parsers.read_csv(SRC_FILE)
df = df.set_index(df.dt)


    

In [36]:

    

usd_buy = df.query("currency_from=='USD' & operation=='buy' & bank=='expobank'").rate
usd_sell = df.query("currency_from=='USD' & operation=='sell' & bank=='expobank'").rate
eur_buy = df.query("currency_from=='EUR' & operation=='buy' & bank=='expobank'").rate
eur_sell = df.query("currency_from=='EUR' & operation=='sell' & bank=='expobank'").rate


    

In [37]:

    

pd.options.display.mpl_style = 'default'

fig = plt.figure(figsize=(12, 6), dpi=80, facecolor='w', edgecolor='k')
usd_buy.plot()
usd_sell.plot()
eur_buy.plot()
eur_sell.plot()
plt.legend(['USD BUY', 'USD SELL', 'EUR BUY', 'EUR SELL'], loc=2)
fig.autofmt_xdate()


    

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