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__init__.py2250644editdlrm
Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/series/methods/test_pct_change.py (2968B)
import numpy as np import pytest from pandas import Series, date_range import pandas._testing as tm class TestSeriesPctChange: def test_pct_change(self, datetime_series): rs = datetime_series.pct_change(fill_method=None) tm.assert_series_equal(rs, datetime_series / datetime_series.shift(1) - 1) rs = datetime_series.pct_change(2) filled = datetime_series.fillna(method="pad") tm.assert_series_equal(rs, filled / filled.shift(2) - 1) rs = datetime_series.pct_change(fill_method="bfill", limit=1) filled = datetime_series.fillna(method="bfill", limit=1) tm.assert_series_equal(rs, filled / filled.shift(1) - 1) rs = datetime_series.pct_change(freq="5D") filled = datetime_series.fillna(method="pad") tm.assert_series_equal( rs, (filled / filled.shift(freq="5D") - 1).reindex_like(filled) ) def test_pct_change_with_duplicate_axis(self): # GH#28664 common_idx = date_range("2019-11-14", periods=5, freq="D") result = Series(range(5), common_idx).pct_change(freq="B") # the reason that the expected should be like this is documented at PR 28681 expected = Series([np.NaN, np.inf, np.NaN, np.NaN, 3.0], common_idx) tm.assert_series_equal(result, expected) def test_pct_change_shift_over_nas(self): s = Series([1.0, 1.5, np.nan, 2.5, 3.0]) chg = s.pct_change() expected = Series([np.nan, 0.5, 0.0, 2.5 / 1.5 - 1, 0.2]) tm.assert_series_equal(chg, expected) @pytest.mark.parametrize( "freq, periods, fill_method, limit", [ ("5B", 5, None, None), ("3B", 3, None, None), ("3B", 3, "bfill", None), ("7B", 7, "pad", 1), ("7B", 7, "bfill", 3), ("14B", 14, None, None), ], ) def test_pct_change_periods_freq( self, freq, periods, fill_method, limit, datetime_series ): # GH#7292 rs_freq = datetime_series.pct_change( freq=freq, fill_method=fill_method, limit=limit ) rs_periods = datetime_series.pct_change( periods, fill_method=fill_method, limit=limit ) tm.assert_series_equal(rs_freq, rs_periods) empty_ts = Series(index=datetime_series.index, dtype=object) rs_freq = empty_ts.pct_change(freq=freq, fill_method=fill_method, limit=limit) rs_periods = empty_ts.pct_change(periods, fill_method=fill_method, limit=limit) tm.assert_series_equal(rs_freq, rs_periods) @pytest.mark.parametrize("fill_method", ["pad", "ffill", None]) def test_pct_change_with_duplicated_indices(fill_method): # GH30463 s = Series([np.nan, 1, 2, 3, 9, 18], index=["a", "b"] * 3) result = s.pct_change(fill_method=fill_method) expected = Series([np.nan, np.nan, 1.0, 0.5, 2.0, 1.0], index=["a", "b"] * 3) tm.assert_series_equal(result, expected)