fix tests and docs

Author: natmokval

pandas/io/json/_table_schema.py

@@ -275,7 +275,7 @@ def build_table_schema(
     >>> df = pd.DataFrame(
     ...     {'A': [1, 2, 3],
     ...      'B': ['a', 'b', 'c'],
-    ...      'C': pd.date_range('2016-01-01', freq='d', periods=3),
+    ...      'C': pd.date_range('2016-01-01', freq='D', periods=3),
     ...      }, index=pd.Index(range(3), name='idx'))
     >>> build_table_schema(df)
     {'fields': \

pandas/tests/indexes/datetimes/test_partial_slicing.py

@@ -35,7 +35,7 @@ def test_string_index_series_name_converted(self):
     def test_stringified_slice_with_tz(self):
         # GH#2658
         start = "2013-01-07"
-        idx = date_range(start=start, freq="1d", periods=10, tz="US/Eastern")
+        idx = date_range(start=start, freq="1D", periods=10, tz="US/Eastern")
         df = DataFrame(np.arange(10), index=idx)
         df["2013-01-14 23:44:34.437768-05:00":]  # no exception here
 

pandas/tests/resample/test_period_index.py

@@ -161,12 +161,12 @@ def test_basic_downsample(self, simple_period_range_series):
             ("Y-DEC", "<YearEnd: month=12>"),
             ("Q-MAR", "<QuarterEnd: startingMonth=3>"),
             ("M", "<MonthEnd>"),
-            ("w-thu", "<Week: weekday=3>"),
+            ("W-THU", "<Week: weekday=3>"),
         ],
     )
     def test_not_subperiod(self, simple_period_range_series, rule, expected_error_msg):
         # These are incompatible period rules for resampling
-        ts = simple_period_range_series("1/1/1990", "6/30/1995", freq="w-wed")
+        ts = simple_period_range_series("1/1/1990", "6/30/1995", freq="W-WED")
         msg = (
             "Frequency <Week: weekday=2> cannot be resampled to "
             f"{expected_error_msg}, as they are not sub or super periods"

pandas/tests/resample/test_resample_api.py

@@ -732,7 +732,7 @@ def test_agg_with_datetime_index_list_agg_func(col_name):
         ),
         columns=[col_name],
     )
-    result = df.resample("1d").aggregate(["mean"])
+    result = df.resample("1D").aggregate(["mean"])
     expected = DataFrame(
         [47.5, 143.5, 195.5],
         index=date_range(start="2017-01-01", freq="D", periods=3, tz="Europe/Berlin"),

pandas/tests/resample/test_time_grouper.py

@@ -193,7 +193,7 @@ def test_aggregate_nth():
 )
 def test_resample_entirely_nat_window(method, method_args, unit):
     ser = Series([0] * 2 + [np.nan] * 2, index=date_range("2017", periods=4))
-    result = methodcaller(method, **method_args)(ser.resample("2d"))
+    result = methodcaller(method, **method_args)(ser.resample("2D"))
 
     exp_dti = pd.DatetimeIndex(["2017-01-01", "2017-01-03"], dtype="M8[ns]", freq="2D")
     expected = Series([0.0, unit], index=exp_dti)
@@ -372,7 +372,7 @@ def test_groupby_resample_interpolate_with_apply_syntax(groupy_test_df):
 
     for df in dfs:
         result = df.groupby("volume").apply(
-            lambda x: x.resample("1d").interpolate(method="linear"),
+            lambda x: x.resample("1D").interpolate(method="linear"),
             include_groups=False,
         )
 

pandas/tests/scalar/timedelta/methods/test_round.py

@@ -38,7 +38,7 @@ class TestTimedeltaRound:
             ("min", "1 days 02:35:00", "-1 days 02:35:00"),
             ("12min", "1 days 02:36:00", "-1 days 02:36:00"),
             ("h", "1 days 03:00:00", "-1 days 03:00:00"),
-            ("d", "1 days", "-1 days"),
+            ("D", "1 days", "-1 days"),
         ],
     )
     def test_round(self, freq, s1, s2):

pandas/tests/window/test_timeseries_window.py

@@ -101,15 +101,15 @@ def test_on(self, regular):
         # column is valid
         df = df.copy()
         df["C"] = date_range("20130101", periods=len(df))
-        df.rolling(window="2d", on="C").sum()
+        df.rolling(window="2D", on="C").sum()
 
         # invalid columns
         msg = "window must be an integer"
         with pytest.raises(ValueError, match=msg):
             df.rolling(window="2d", on="B")
 
         # ok even though on non-selected
-        df.rolling(window="2d", on="C").B.sum()
+        df.rolling(window="2D", on="C").B.sum()
 
     def test_monotonic_on(self):
         # on/index must be monotonic
@@ -682,7 +682,7 @@ def test_rolling_on_multi_index_level(self):
                 [date_range("20190101", periods=3), range(2)], names=["date", "seq"]
             ),
         )
-        result = df.rolling("10d", on=df.index.get_level_values("date")).sum()
+        result = df.rolling("10D", on=df.index.get_level_values("date")).sum()
         expected = DataFrame(
             {"column": [0.0, 1.0, 3.0, 6.0, 10.0, 15.0]}, index=df.index
         )