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_truncate.py (4180B)

import numpy as np
import pytest

import pandas as pd
import pandas._testing as tm

class TestDataFrameTruncate:
    def test_truncate(self, datetime_frame):
        ts = datetime_frame[::3]

start, end = datetime_frame.index[3], datetime_frame.index[6]

start_missing = datetime_frame.index[2]
        end_missing = datetime_frame.index[7]

# neither specified
        truncated = ts.truncate()
        tm.assert_frame_equal(truncated, ts)

# both specified
        expected = ts[1:3]

truncated = ts.truncate(start, end)
        tm.assert_frame_equal(truncated, expected)

truncated = ts.truncate(start_missing, end_missing)
        tm.assert_frame_equal(truncated, expected)

# start specified
        expected = ts[1:]

truncated = ts.truncate(before=start)
        tm.assert_frame_equal(truncated, expected)

truncated = ts.truncate(before=start_missing)
        tm.assert_frame_equal(truncated, expected)

# end specified
        expected = ts[:3]

truncated = ts.truncate(after=end)
        tm.assert_frame_equal(truncated, expected)

truncated = ts.truncate(after=end_missing)
        tm.assert_frame_equal(truncated, expected)

msg = "Truncate: 2000-01-06 00:00:00 must be after 2000-02-04 00:00:00"
        with pytest.raises(ValueError, match=msg):
            ts.truncate(
                before=ts.index[-1] - ts.index.freq, after=ts.index[0] + ts.index.freq
            )

def test_truncate_copy(self, datetime_frame):
        index = datetime_frame.index
        truncated = datetime_frame.truncate(index[5], index[10])
        truncated.values[:] = 5.0
        assert not (datetime_frame.values[5:11] == 5).any()

def test_truncate_nonsortedindex(self):
        # GH#17935

df = pd.DataFrame({"A": ["a", "b", "c", "d", "e"]}, index=[5, 3, 2, 9, 0])
        msg = "truncate requires a sorted index"
        with pytest.raises(ValueError, match=msg):
            df.truncate(before=3, after=9)

rng = pd.date_range("2011-01-01", "2012-01-01", freq="W")
        ts = pd.DataFrame(
            {"A": np.random.randn(len(rng)), "B": np.random.randn(len(rng))}, index=rng
        )
        msg = "truncate requires a sorted index"
        with pytest.raises(ValueError, match=msg):
            ts.sort_values("A", ascending=False).truncate(
                before="2011-11", after="2011-12"
            )

df = pd.DataFrame(
            {
                3: np.random.randn(5),
                20: np.random.randn(5),
                2: np.random.randn(5),
                0: np.random.randn(5),
            },
            columns=[3, 20, 2, 0],
        )
        msg = "truncate requires a sorted index"
        with pytest.raises(ValueError, match=msg):
            df.truncate(before=2, after=20, axis=1)

@pytest.mark.parametrize(
        "before, after, indices",
        [(1, 2, [2, 1]), (None, 2, [2, 1, 0]), (1, None, [3, 2, 1])],
    )
    @pytest.mark.parametrize("klass", [pd.Int64Index, pd.DatetimeIndex])
    def test_truncate_decreasing_index(self, before, after, indices, klass):
        # https://github.com/pandas-dev/pandas/issues/33756
        idx = klass([3, 2, 1, 0])
        if klass is pd.DatetimeIndex:
            before = pd.Timestamp(before) if before is not None else None
            after = pd.Timestamp(after) if after is not None else None
            indices = [pd.Timestamp(i) for i in indices]
        values = pd.DataFrame(range(len(idx)), index=idx)
        result = values.truncate(before=before, after=after)
        expected = values.loc[indices]
        tm.assert_frame_equal(result, expected)

def test_truncate_multiindex(self):
        # GH 34564
        mi = pd.MultiIndex.from_product([[1, 2, 3, 4], ["A", "B"]], names=["L1", "L2"])
        s1 = pd.DataFrame(range(mi.shape[0]), index=mi, columns=["col"])
        result = s1.truncate(before=2, after=3)

df = pd.DataFrame.from_dict(
            {"L1": [2, 2, 3, 3], "L2": ["A", "B", "A", "B"], "col": [2, 3, 4, 5]}
        )
        expected = df.set_index(["L1", "L2"])

tm.assert_frame_equal(result, expected)

cmd: