adjustments for expected.index.freq

Author: simongarisch

pandas_datareader/tests/test_econdb.py

@@ -60,6 +60,7 @@ def test_get_tourism(self):
             expected = pd.Series(
                 values, index=index, name="Total international arrivals"
             )
+            expected.index.freq = None
             tm.assert_series_equal(
                 df[label]["Tourism demand surveys"]["Total international arrivals"],
                 expected,

pandas_datareader/tests/test_eurostat.py

@@ -98,7 +98,7 @@ def test_get_sts_cobp_a(self):
         uk = pd.Series(uk_values, name=uk_name, index=idx)
 
         for expected in [ne, uk]:
-            expected.index.freq = None  # don't compare freq
+            expected.index.freq = None
             result = df[expected.name]
             tm.assert_series_equal(result, expected)
 

pandas_datareader/tests/test_fred.py

@@ -72,6 +72,7 @@ def test_fred_multi(self):  # pragma: no cover
             index=[pd.Timestamp("2010-01-01 00:00:00")],
         )
         expected.index.rename("DATE", inplace=True)
+        expected.index.freq = "MS"
         tm.assert_frame_equal(received, expected, check_less_precise=True)
 
     def test_fred_multi_bad_series(self):

pandas_datareader/tests/test_oecd.py

@@ -202,6 +202,7 @@ def test_get_tourism(self):
         index = pd.date_range("2008-01-01", "2012-01-01", freq="AS", name="Year")
         for label, values in [("Japan", jp), ("United States", us)]:
             expected = pd.Series(values, index=index, name="Tourism demand surveys")
+            expected.index.freq = None
             series = df[label]["Total international arrivals"]["Tourism demand surveys"]
             tm.assert_series_equal(series, expected)