In [6]:
%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import urllib
import numpy as np
In [7]:
stock = "EBAY"
# Not needed in Python2.7
def bytespdate2num(fmt, encoding='utf-8'):
strconverter = mdates.strpdate2num(fmt)
def bytesconverter(b):
s = b.decode(encoding)
return strconverter(s)
return bytesconverter
# Yahoo Finance API
stock_price_url = 'http://chartapi.finance.yahoo.com/instrument/1.0/' +stock+ '/chartdata;type=quote;range=1m/csv'
# Getting Data from Yahoo Finance API
source_code = urllib.request.urlopen(stock_price_url).read().decode()
# Cleaning Data
stock_data = []
split_source = source_code.split('\n')
for line in split_source:
split_line = line.split(',')
if len(split_line) == 6:
if 'values' not in line and 'labels' not in line:
stock_data.append(line)
# Unpacking Data
date, closep, highp, lowp, openp, volume = np.loadtxt(stock_data,
delimiter=',',
unpack=True,
converters={0: bytespdate2num('%Y%m%d')})
In [16]:
fig = plt.figure(figsize=(17,9))
ax1 = plt.subplot2grid((1,1),(0,0))
#Plot Lines
ax1.plot(date,closep,label='Close')
ax1.plot(date,openp,label='High')
# Rotate Labels
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
# Set Date Format
ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y.%m.%d'))
# Placing Text
font_dict = {'family':'serif',
'color':'darkred',
'size':15}
ax1.text(date[10], closep[1], 'Testing', fontdict=font_dict)
plt.legend()
plt.show()
In [19]:
fig = plt.figure(figsize=(17,9))
ax1 = plt.subplot2grid((1,1),(0,0))
#Plot Lines
ax1.plot(date,closep)
ax1.plot(date,openp)
# Rotate Labels
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
# Set Date Format
ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y.%m.%d'))
# Anotation
ax1.annotate('Bad News', (date[14],highp[10]),
xytext=(0.6,0.9),
textcoords='axes fraction',
arrowprops = dict(color='grey'))
plt.show()
In [14]:
fig = plt.figure(figsize=(17,9))
ax1 = plt.subplot2grid((1,1),(0,0))
#Plot Lines
ax1.plot(date,closep)
ax1.plot(date,openp)
# Rotate Labels
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
# Set Date Format
ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y.%m.%d'))
# Anotation
bbox_props = dict(boxstyle='larrow',fc='w',ec='k')
ax1.annotate(str(closep[-1]), (date[-1],closep[-1]),
xytext=(date[-1]+0.5, closep[-1]),
bbox = bbox_props)
plt.subplots_adjust(left=.11,
bottom=.24,
right=0.9,
top=.9,
wspace=.2,
hspace=0)
plt.show()
In [11]:
%%HTML
<iframe src="http://matplotlib.org/users/annotations.html" width="980" height="500"></iframe>