No current finance data from Google

Author: gliptak

pandas/io/data.py

@@ -137,54 +137,7 @@ def get_quote_yahoo(symbols):
 
 
 def get_quote_google(symbols):
-    """
-    Get current yahoo quote
-
-    Returns a DataFrame
-    """
-    if isinstance(symbols, str):
-        sym_list = symbols
-    elif not isinstance(symbols, Series):
-        symbols  = Series(symbols)
-        sym_list = str.join('+', symbols)
-    else:
-        sym_list = str.join('+', symbols)
-
-    # for codes see: http://www.gummy-stuff.org/Yahoo-data.htm
-    codes = {'symbol': 's', 'last': 'l1', 'change_pct': 'p2', 'PE': 'r',
-             'time': 't1', 'short_ratio': 's7'}
-    request = str.join('', codes.values())  # code request string
-    header = codes.keys()
-
-    data = dict(zip(codes.keys(), [[] for i in range(len(codes))]))
-
-    urlStr = 'http://finance.yahoo.com/d/quotes.csv?s=%s&f=%s' % (
-        sym_list, request)
-
-    try:
-        lines = urllib2.urlopen(urlStr).readlines()
-    except Exception, e:
-        s = "Failed to download:\n{0}".format(e)
-        print s
-        return None
-
-    for line in lines:
-        fields = line.decode('utf-8').strip().split(',')
-        for i, field in enumerate(fields):
-            if field[-2:] == '%"':
-                data[header[i]].append(float(field.strip('"%')))
-            elif field[0] == '"':
-                data[header[i]].append(field.strip('"'))
-            else:
-                try:
-                    data[header[i]].append(float(field))
-                except ValueError:
-                    data[header[i]].append(np.nan)
-
-    idx = data.pop('symbol')
-
-    return DataFrame(data, index=idx)
-
+    raise NotImplementedError("Google Finance doesn't have this functionality")
 
 def _get_hist_yahoo(sym=None, start=None, end=None, retry_count=3,
                     pause=0, **kwargs):

pandas/io/tests/test_google.py

@@ -42,9 +42,8 @@ def test_google(self):
     @slow
     @network
     def test_get_quote(self):
-        df = web.get_quote_google(pd.Series(['GOOG', 'AAPL', 'GOOG']))
-        assert_series_equal(df.ix[0], df.ix[2])
-
+        self.assertRaises(NotImplementedError,
+                lambda: web.get_quote_google(pd.Series(['GOOG', 'AAPL', 'GOOG'])))
 
     @slow
     @network