FM / methods

/usr/local/lib64/python3.6/site-packages/pandas/tests/frame/methods/

/usr/local/lib64/python3.6/site-packages/pandas/tests/frame/methods

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
test_align.py	10339	0644	edit dl rm
test_append.py	7399	0644	edit dl rm
test_asfreq.py	1970	0644	edit dl rm
test_asof.py	5767	0644	edit dl rm
test_assign.py	2982	0644	edit dl rm
test_astype.py	21027	0644	edit dl rm
test_at_time.py	3205	0644	edit dl rm
test_between_time.py	3675	0644	edit dl rm
test_clip.py	6028	0644	edit dl rm
test_combine.py	1359	0644	edit dl rm
test_combine_first.py	12748	0644	edit dl rm
test_compare.py	6158	0644	edit dl rm
test_count.py	1068	0644	edit dl rm
test_cov_corr.py	11888	0644	edit dl rm
test_describe.py	12492	0644	edit dl rm
test_diff.py	7374	0644	edit dl rm
test_drop.py	15662	0644	edit dl rm
test_droplevel.py	855	0644	edit dl rm
test_drop_duplicates.py	13387	0644	edit dl rm
test_duplicated.py	3191	0644	edit dl rm
test_explode.py	5294	0644	edit dl rm
test_filter.py	4933	0644	edit dl rm
test_first_and_last.py	1803	0644	edit dl rm
test_head_tail.py	1194	0644	edit dl rm
test_interpolate.py	11816	0644	edit dl rm
test_isin.py	7324	0644	edit dl rm
test_nlargest.py	6731	0644	edit dl rm
test_pct_change.py	3436	0644	edit dl rm
test_pop.py	1226	0644	edit dl rm
test_quantile.py	18028	0644	edit dl rm
test_rank.py	11377	0644	edit dl rm
test_reindex_like.py	1187	0644	edit dl rm
test_rename.py	12543	0644	edit dl rm
test_rename_axis.py	4074	0644	edit dl rm
test_replace.py	59230	0644	edit dl rm
test_reset_index.py	12506	0644	edit dl rm
test_round.py	7916	0644	edit dl rm
test_select_dtypes.py	12104	0644	edit dl rm
test_set_index.py	19571	0644	edit dl rm
test_shift.py	10324	0644	edit dl rm
test_sort_index.py	25678	0644	edit dl rm
test_sort_values.py	25358	0644	edit dl rm
test_to_dict.py	9989	0644	edit dl rm
test_to_period.py	984	0644	edit dl rm
test_to_records.py	13981	0644	edit dl rm
test_to_timestamp.py	4020	0644	edit dl rm
test_transpose.py	2426	0644	edit dl rm
test_truncate.py	4180	0644	edit dl rm
test_tz_convert.py	3415	0644	edit dl rm
test_tz_localize.py	666	0644	edit dl rm
test_update.py	4259	0644	edit dl rm
test_value_counts.py	2631	0644	edit dl rm
__init__.py	229	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/frame/methods/test_pct_change.py (3436B)

import numpy as np
import pytest

from pandas import DataFrame, Series
import pandas._testing as tm

class TestDataFramePctChange:
    def test_pct_change_numeric(self):
        # GH#11150
        pnl = DataFrame(
            [np.arange(0, 40, 10), np.arange(0, 40, 10), np.arange(0, 40, 10)]
        ).astype(np.float64)
        pnl.iat[1, 0] = np.nan
        pnl.iat[1, 1] = np.nan
        pnl.iat[2, 3] = 60

for axis in range(2):
            expected = pnl.ffill(axis=axis) / pnl.ffill(axis=axis).shift(axis=axis) - 1
            result = pnl.pct_change(axis=axis, fill_method="pad")

tm.assert_frame_equal(result, expected)

def test_pct_change(self, datetime_frame):
        rs = datetime_frame.pct_change(fill_method=None)
        tm.assert_frame_equal(rs, datetime_frame / datetime_frame.shift(1) - 1)

rs = datetime_frame.pct_change(2)
        filled = datetime_frame.fillna(method="pad")
        tm.assert_frame_equal(rs, filled / filled.shift(2) - 1)

rs = datetime_frame.pct_change(fill_method="bfill", limit=1)
        filled = datetime_frame.fillna(method="bfill", limit=1)
        tm.assert_frame_equal(rs, filled / filled.shift(1) - 1)

rs = datetime_frame.pct_change(freq="5D")
        filled = datetime_frame.fillna(method="pad")
        tm.assert_frame_equal(
            rs, (filled / filled.shift(freq="5D") - 1).reindex_like(filled)
        )

def test_pct_change_shift_over_nas(self):
        s = Series([1.0, 1.5, np.nan, 2.5, 3.0])

df = DataFrame({"a": s, "b": s})

chg = df.pct_change()
        expected = Series([np.nan, 0.5, 0.0, 2.5 / 1.5 - 1, 0.2])
        edf = DataFrame({"a": expected, "b": expected})
        tm.assert_frame_equal(chg, edf)

@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, datetime_frame, freq, periods, fill_method, limit
    ):
        # GH#7292
        rs_freq = datetime_frame.pct_change(
            freq=freq, fill_method=fill_method, limit=limit
        )
        rs_periods = datetime_frame.pct_change(
            periods, fill_method=fill_method, limit=limit
        )
        tm.assert_frame_equal(rs_freq, rs_periods)

empty_ts = DataFrame(index=datetime_frame.index, columns=datetime_frame.columns)
        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_frame_equal(rs_freq, rs_periods)

@pytest.mark.parametrize("fill_method", ["pad", "ffill", None])
def test_pct_change_with_duplicated_indices(fill_method):
    # GH30463
    data = DataFrame(
        {0: [np.nan, 1, 2, 3, 9, 18], 1: [0, 1, np.nan, 3, 9, 18]}, index=["a", "b"] * 3
    )
    result = data.pct_change(fill_method=fill_method)
    if fill_method is None:
        second_column = [np.nan, np.inf, np.nan, np.nan, 2.0, 1.0]
    else:
        second_column = [np.nan, np.inf, 0.0, 2.0, 2.0, 1.0]
    expected = DataFrame(
        {0: [np.nan, np.nan, 1.0, 0.5, 2.0, 1.0], 1: second_column},
        index=["a", "b"] * 3,
    )
    tm.assert_frame_equal(result, expected)

import numpy as np import pytest from pandas import DataFrame, Series import pandas._testing as tm class TestDataFramePctChange: def test_pct_change_numeric(self): # GH#11150 pnl = DataFrame( [np.arange(0, 40, 10), np.arange(0, 40, 10), np.arange(0, 40, 10)] ).astype(np.float64) pnl.iat[1, 0] = np.nan pnl.iat[1, 1] = np.nan pnl.iat[2, 3] = 60 for axis in range(2): expected = pnl.ffill(axis=axis) / pnl.ffill(axis=axis).shift(axis=axis) - 1 result = pnl.pct_change(axis=axis, fill_method="pad") tm.assert_frame_equal(result, expected) def test_pct_change(self, datetime_frame): rs = datetime_frame.pct_change(fill_method=None) tm.assert_frame_equal(rs, datetime_frame / datetime_frame.shift(1) - 1) rs = datetime_frame.pct_change(2) filled = datetime_frame.fillna(method="pad") tm.assert_frame_equal(rs, filled / filled.shift(2) - 1) rs = datetime_frame.pct_change(fill_method="bfill", limit=1) filled = datetime_frame.fillna(method="bfill", limit=1) tm.assert_frame_equal(rs, filled / filled.shift(1) - 1) rs = datetime_frame.pct_change(freq="5D") filled = datetime_frame.fillna(method="pad") tm.assert_frame_equal( rs, (filled / filled.shift(freq="5D") - 1).reindex_like(filled) ) def test_pct_change_shift_over_nas(self): s = Series([1.0, 1.5, np.nan, 2.5, 3.0]) df = DataFrame({"a": s, "b": s}) chg = df.pct_change() expected = Series([np.nan, 0.5, 0.0, 2.5 / 1.5 - 1, 0.2]) edf = DataFrame({"a": expected, "b": expected}) tm.assert_frame_equal(chg, edf) @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, datetime_frame, freq, periods, fill_method, limit ): # GH#7292 rs_freq = datetime_frame.pct_change( freq=freq, fill_method=fill_method, limit=limit ) rs_periods = datetime_frame.pct_change( periods, fill_method=fill_method, limit=limit ) tm.assert_frame_equal(rs_freq, rs_periods) empty_ts = DataFrame(index=datetime_frame.index, columns=datetime_frame.columns) 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_frame_equal(rs_freq, rs_periods) @pytest.mark.parametrize("fill_method", ["pad", "ffill", None]) def test_pct_change_with_duplicated_indices(fill_method): # GH30463 data = DataFrame( {0: [np.nan, 1, 2, 3, 9, 18], 1: [0, 1, np.nan, 3, 9, 18]}, index=["a", "b"] * 3 ) result = data.pct_change(fill_method=fill_method) if fill_method is None: second_column = [np.nan, np.inf, np.nan, np.nan, 2.0, 1.0] else: second_column = [np.nan, np.inf, 0.0, 2.0, 2.0, 1.0] expected = DataFrame( {0: [np.nan, np.nan, 1.0, 0.5, 2.0, 1.0], 1: second_column}, index=["a", "b"] * 3, ) tm.assert_frame_equal(result, expected)