[#7292] BUG: asfreq / pct_change strange behavior

doc/source/whatsnew/v0.23.0.txt

@@ -419,6 +419,7 @@ Datetimelike
 - Bug in ``.astype()`` to non-ns timedelta units would hold the incorrect dtype (:issue:`19176`, :issue:`19223`, :issue:`12425`)
 - Bug in subtracting :class:`Series` from ``NaT`` incorrectly returning ``NaT`` (:issue:`19158`)
 - Bug in :func:`Series.truncate` which raises ``TypeError`` with a monotonic ``PeriodIndex`` (:issue:`17717`)
+- Bug in :func:`~DataFrame.pct_change` using ``periods`` and ``freq`` returned different length outputs (:issue:`7292`)
 
 Timezones
 ^^^^^^^^^

pandas/core/generic.py

@@ -7315,6 +7315,7 @@ def pct_change(self, periods=1, fill_method='pad', limit=None, freq=None,
 
         rs = (data.div(data.shift(periods=periods, freq=freq, axis=axis,
                                   **kwargs)) - 1)
+        rs = rs.reindex_like(data)
         if freq is None:
             mask = isna(com._values_from_object(self))
             np.putmask(rs.values, mask, np.nan)

pandas/tests/frame/test_timeseries.py

@@ -108,7 +108,9 @@ def test_pct_change(self):
 
         rs = self.tsframe.pct_change(freq='5D')
         filled = self.tsframe.fillna(method='pad')
-        assert_frame_equal(rs, filled / filled.shift(freq='5D') - 1)
+        assert_frame_equal(rs,
+                           (filled / filled.shift(freq='5D') - 1)
+                           .reindex_like(filled))
 
     def test_pct_change_shift_over_nas(self):
         s = Series([1., 1.5, np.nan, 2.5, 3.])
@@ -120,6 +122,38 @@ def test_pct_change_shift_over_nas(self):
         edf = DataFrame({'a': expected, 'b': expected})
         assert_frame_equal(chg, edf)
 
+    def test_pct_change_periods_freq(self):
+        # GH 7292
+        rs_freq = self.tsframe.pct_change(freq='5B')
+        rs_periods = self.tsframe.pct_change(5)
+        assert_frame_equal(rs_freq, rs_periods)
+
+        rs_freq = self.tsframe.pct_change(freq='3B', fill_method=None)
+        rs_periods = self.tsframe.pct_change(3, fill_method=None)
+        assert_frame_equal(rs_freq, rs_periods)
+
+        rs_freq = self.tsframe.pct_change(freq='3B', fill_method='bfill')
+        rs_periods = self.tsframe.pct_change(3, fill_method='bfill')
+        assert_frame_equal(rs_freq, rs_periods)
+
+        rs_freq = self.tsframe.pct_change(freq='7B',
+                                          fill_method='pad',
+                                          limit=1)
+        rs_periods = self.tsframe.pct_change(7, fill_method='pad', limit=1)
+        assert_frame_equal(rs_freq, rs_periods)
+
+        rs_freq = self.tsframe.pct_change(freq='7B',
+                                          fill_method='bfill',
+                                          limit=3)
+        rs_periods = self.tsframe.pct_change(7, fill_method='bfill', limit=3)
+        assert_frame_equal(rs_freq, rs_periods)
+
+        empty_ts = DataFrame(index=self.tsframe.index,
+                             columns=self.tsframe.columns)
+        rs_freq = empty_ts.pct_change(freq='14B')
+        rs_periods = empty_ts.pct_change(14)
+        assert_frame_equal(rs_freq, rs_periods)
+
     def test_frame_ctor_datetime64_column(self):
         rng = date_range('1/1/2000 00:00:00', '1/1/2000 1:59:50', freq='10s')
         dates = np.asarray(rng)

pandas/tests/series/test_timeseries.py

@@ -344,7 +344,9 @@ def test_pct_change(self):
 
         rs = self.ts.pct_change(freq='5D')
         filled = self.ts.fillna(method='pad')
-        assert_series_equal(rs, filled / filled.shift(freq='5D') - 1)
+        assert_series_equal(rs,
+                            (filled / filled.shift(freq='5D') - 1)
+                            .reindex_like(filled))
 
     def test_pct_change_shift_over_nas(self):
         s = Series([1., 1.5, np.nan, 2.5, 3.])
@@ -353,6 +355,33 @@ def test_pct_change_shift_over_nas(self):
         expected = Series([np.nan, 0.5, np.nan, 2.5 / 1.5 - 1, .2])
         assert_series_equal(chg, expected)
 
+    def test_pct_change_periods_freq(self):
+        # GH 7292
+        rs_freq = self.ts.pct_change(freq='5B')
+        rs_periods = self.ts.pct_change(5)
+        assert_series_equal(rs_freq, rs_periods)
+
+        rs_freq = self.ts.pct_change(freq='3B', fill_method=None)
+        rs_periods = self.ts.pct_change(3, fill_method=None)
+        assert_series_equal(rs_freq, rs_periods)
+
+        rs_freq = self.ts.pct_change(freq='3B', fill_method='bfill')
+        rs_periods = self.ts.pct_change(3, fill_method='bfill')
+        assert_series_equal(rs_freq, rs_periods)
+
+        rs_freq = self.ts.pct_change(freq='7B', fill_method='pad', limit=1)
+        rs_periods = self.ts.pct_change(7, fill_method='pad', limit=1)
+        assert_series_equal(rs_freq, rs_periods)
+
+        rs_freq = self.ts.pct_change(freq='7B', fill_method='bfill', limit=3)
+        rs_periods = self.ts.pct_change(7, fill_method='bfill', limit=3)
+        assert_series_equal(rs_freq, rs_periods)
+
+        empty_ts = Series(index=self.ts.index)
+        rs_freq = empty_ts.pct_change(freq='14B')
+        rs_periods = empty_ts.pct_change(14)
+        assert_series_equal(rs_freq, rs_periods)
+
     def test_autocorr(self):
         # Just run the function
         corr1 = self.ts.autocorr()