@@ -38,7 +38,7 @@ def assert_n_failed_equals_n_null_columns(wngs, obj, cls=SymbolWarning):
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all_nan_cols = pd .Series (dict ((k , pd .isnull (v ).all ()) for k , v in
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compat .iteritems (obj )))
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n_all_nan_cols = all_nan_cols .sum ()
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- valid_warnings = pd .Series ([wng for wng in wngs if isinstance ( wng , cls ) ])
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+ valid_warnings = pd .Series ([wng for wng in wngs if wng . category == cls ])
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assert_equal (len (valid_warnings ), n_all_nan_cols )
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failed_symbols = all_nan_cols [all_nan_cols ].index
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msgs = valid_warnings .map (lambda x : x .message )
@@ -81,17 +81,17 @@ def test_get_goog_volume(self):
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for locale in self .locales :
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with tm .set_locale (locale ):
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df = web .get_data_google ('GOOG' ).sort_index ()
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- self .assertEqual (df .Volume .ix ['OCT-08-2010 ' ], 2863473 )
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+ self .assertEqual (df .Volume .ix ['JAN-02-2015 ' ], 1446662 )
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def test_get_multi1 (self ):
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for locale in self .locales :
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sl = ['AAPL' , 'AMZN' , 'GOOG' ]
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with tm .set_locale (locale ):
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pan = web .get_data_google (sl , '2012' )
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- ts = pan .Close .GOOG .index [pan .Close .AAPL > pan .Close .GOOG ]
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+ ts = pan .Close .GOOG .index [pan .Close .AAPL < pan .Close .GOOG ]
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if (hasattr (pan , 'Close' ) and hasattr (pan .Close , 'GOOG' ) and
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hasattr (pan .Close , 'AAPL' )):
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- self .assertEqual (ts [0 ].dayofyear , 96 )
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+ self .assertEqual (ts [0 ].dayofyear , 3 )
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else :
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self .assertRaises (AttributeError , lambda : pan .Close )
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