Add USD LIBOR rates

Also shift versions lower to what I'm actually testing on

metrik/tasks/ice.py

@@ -0,0 +1,42 @@
+from luigi.task import Task
+# noinspection PyUnresolvedReferences
+from six.moves.urllib.parse import quote_plus
+import pandas as pd
+import pytz
+from dateutil.parser import parse
+
+
+class USDLibor(Task):
+
+    @staticmethod
+    def retrieve_data(date):
+        url = ('https://www.theice.com/marketdata/reports/icebenchmarkadmin/'
+               'ICELiborHistoricalRates.shtml?excelExport='
+               '&criteria.reportDate={}&criteria.currencyCode=USD').format(
+            quote_plus(date.strftime('%m/%d/%y'))
+        )
+
+        def parse_london(dt_str):
+            # Pandas does its best to try and help us out by modifying the
+            # actual csv content to try and add timezone and date information.
+            # Which is not in any sense what we want.
+            # So we have convoluted steps to go and fix that.
+            london_tz = pytz.timezone('Europe/London')
+            # Note that parse() implicitly adds timezone information because
+            # of how pandas gave us the value
+            dt = parse(dt_str).replace(year=date.year,
+                                       month=date.month,
+                                       day=date.day)
+            return dt.astimezone(london_tz)
+
+        # Skip 1 row at top for header (header=0),
+        # and read 7 total rows. For whatever reason,
+        # pandas totally ignores both skipfooter and skip_footer.
+        # WTF pandas.
+        df = pd.read_csv(
+            url, names=['Tenor', 'Publication Time', 'USD ICE LIBOR'],
+            header=0, parse_dates=['Publication Time'],
+            nrows=7, date_parser=parse_london,
+        )
+
+        return df