Python

# -*- coding: utf-8 -*-

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

fig = plt.figure()

ax1 = fig.add_subplot(2,2,1)

ax2 = fig.add_subplot(2,2,2)

ax3 = fig.add_subplot(2,2,3)

plt.plot(np.random.randn(50).cumsum(), 'co-')

_ = ax1.hist(np.random.randn(100), bins = 20, color = 'b', alpha = 0.3)

ax2.scatter(np.arange(30), np.arange(30)+3*np.random.randn(30))

fig, axes = plt.subplots(2, 2, sharex = True, sharey = True)

for i in range(2):

for j in range(2):

axes[i, j].hist(np.random.randn(500), bins = 50)

plt.subplots_adjust(wspace = 0.5, hspace = 0)

data = np.random.randn(30).cumsum()

plt.plot(data, 'k--', label = 'Default')

plt.plot(data, 'k-', drawstyle = 'steps-post', label = 'stemps-post')

plt.legend(loc = 'best')

a = np.arange(1, 10)

print a.cumsum()

print a.cumprod()

fig = plt.figure()

ax = fig.add_subplot(1, 1, 1)

ax.plot(np.random.randn(1000).cumsum())

ticks = ax.set_xticks([0, 250, 500, 750, 1000])

labels = ax.set_xticklabels(['one', 'two', 'three', 'four', 'five'],

rotation = 30,

fontsize = 'small')

ax.set_title('My plot')

ax.set_xlabel('Stages')

ax.set_ylabel('Values')

from datetime import datetime

import matplotlib.pylab as plt

fig = plt.figure()

ax = fig.add_subplot(1,1,1)

data = pd.read_csv('spx.csv', index_col = 0, parse_dates = True)

spx = data['SPX']

spx.plot(ax = ax, style = 'k--')

crisis_data = [

(datetime(2007,10,11), 'Peak of bull market'),

(datetime(2008, 3, 12), 'Bear Stearns Fails'),

(datetime(2008, 9, 15), 'Lehman Bankruptcy')

]

for date, label in crisis_data:

ax.annotate(label,

xy = (date, spx.asof(date)+50),

xytext = (date, spx.asof(date)+200),

arrowprops=dict(facecolor = 'black'),

horizontalalignment = 'left', verticalalignment = 'top')

ax.set_xlim(['1/1/2007', '1/1/2011'])

ax.set_ylim([600, 1800])

ax.set_title('Important dates in 2008-2009 financial crisis')

#뭔말인지 하나도 모르겠다 떤져야겠다