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Split tests into multiple
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pandas/io/tests/test_google.py

+38-3
Original file line numberDiff line numberDiff line change
@@ -6,6 +6,7 @@
66
import pandas.io.data as web
77
from pandas.util.testing import (network, assert_series_equal)
88
from numpy.testing.decorators import slow
9+
import numpy as np
910

1011
import urllib2
1112

@@ -24,7 +25,23 @@ def test_google(self):
2425
self.assertEquals(
2526
web.DataReader("F", 'google', start, end)['Close'][-1],
2627
13.68)
28+
except urllib2.URLError:
29+
try:
30+
urllib2.urlopen('http://www.google.com')
31+
except urllib2.URLError:
32+
raise nose.SkipTest
33+
else:
34+
raise
2735

36+
@network
37+
def test_google_non_existent(self):
38+
# asserts that google is minimally working and that it throws
39+
# an excecption when DataReader can't get a 200 response from
40+
# google
41+
start = datetime(2010, 1, 1)
42+
end = datetime(2013, 01, 27)
43+
44+
try:
2845
self.assertRaises(
2946
Exception,
3047
lambda: web.DataReader("NON EXISTENT TICKER", 'google',
@@ -44,18 +61,36 @@ def test_get_quote(self):
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lambda: web.get_quote_google(pd.Series(['GOOG', 'AAPL', 'GOOG'])))
4562

4663
@network
47-
def test_get_data(self):
64+
def test_get_goog_volume(self):
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try:
49-
import numpy as np
5066
df = web.get_data_google('GOOG')
51-
print(df.Volume.ix['OCT-08-2010'])
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assert df.Volume.ix['OCT-08-2010'] == 2863473
68+
except IOError:
69+
try:
70+
urllib2.urlopen('http://www.google.com')
71+
except IOError:
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raise nose.SkipTest
73+
else:
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raise
5375

76+
@network
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def test_get_multi1(self):
78+
try:
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sl = ['AAPL', 'AMZN', 'GOOG']
5580
pan = web.get_data_google(sl, '2012')
5681
ts = pan.Close.GOOG.index[pan.Close.AAPL > pan.Close.GOOG]
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assert ts[0].dayofyear == 96
83+
except IOError:
84+
try:
85+
urllib2.urlopen('http://www.google.com')
86+
except IOError:
87+
raise nose.SkipTest
88+
else:
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raise
5890

91+
@network
92+
def test_get_multi2(self):
93+
try:
5994
pan = web.get_data_google(['GE', 'MSFT', 'INTC'], 'JAN-01-12', 'JAN-31-12')
6095
expected = [19.02, 28.23, 25.39]
6196
result = pan.Close.ix['01-18-12'][['GE', 'MSFT', 'INTC']].tolist()

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