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_asfreq.py (1970B)

from datetime import datetime

import numpy as np

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

from pandas.tseries import offsets

class TestAsFreq:
    def test_asfreq(self, datetime_frame):
        offset_monthly = datetime_frame.asfreq(offsets.BMonthEnd())
        rule_monthly = datetime_frame.asfreq("BM")

tm.assert_almost_equal(offset_monthly["A"], rule_monthly["A"])

filled = rule_monthly.asfreq("B", method="pad")  # noqa
        # TODO: actually check that this worked.

# don't forget!
        filled_dep = rule_monthly.asfreq("B", method="pad")  # noqa

# test does not blow up on length-0 DataFrame
        zero_length = datetime_frame.reindex([])
        result = zero_length.asfreq("BM")
        assert result is not zero_length

def test_asfreq_datetimeindex(self):
        df = DataFrame(
            {"A": [1, 2, 3]},
            index=[datetime(2011, 11, 1), datetime(2011, 11, 2), datetime(2011, 11, 3)],
        )
        df = df.asfreq("B")
        assert isinstance(df.index, DatetimeIndex)

ts = df["A"].asfreq("B")
        assert isinstance(ts.index, DatetimeIndex)

def test_asfreq_fillvalue(self):
        # test for fill value during upsampling, related to issue 3715

# setup
        rng = date_range("1/1/2016", periods=10, freq="2S")
        ts = Series(np.arange(len(rng)), index=rng)
        df = DataFrame({"one": ts})

# insert pre-existing missing value
        df.loc["2016-01-01 00:00:08", "one"] = None

actual_df = df.asfreq(freq="1S", fill_value=9.0)
        expected_df = df.asfreq(freq="1S").fillna(9.0)
        expected_df.loc["2016-01-01 00:00:08", "one"] = None
        tm.assert_frame_equal(expected_df, actual_df)

expected_series = ts.asfreq(freq="1S").fillna(9.0)
        actual_series = ts.asfreq(freq="1S", fill_value=9.0)
        tm.assert_series_equal(expected_series, actual_series)

from datetime import datetime import numpy as np from pandas import DataFrame, DatetimeIndex, Series, date_range import pandas._testing as tm from pandas.tseries import offsets class TestAsFreq: def test_asfreq(self, datetime_frame): offset_monthly = datetime_frame.asfreq(offsets.BMonthEnd()) rule_monthly = datetime_frame.asfreq("BM") tm.assert_almost_equal(offset_monthly["A"], rule_monthly["A"]) filled = rule_monthly.asfreq("B", method="pad") # noqa # TODO: actually check that this worked. # don't forget! filled_dep = rule_monthly.asfreq("B", method="pad") # noqa # test does not blow up on length-0 DataFrame zero_length = datetime_frame.reindex([]) result = zero_length.asfreq("BM") assert result is not zero_length def test_asfreq_datetimeindex(self): df = DataFrame( {"A": [1, 2, 3]}, index=[datetime(2011, 11, 1), datetime(2011, 11, 2), datetime(2011, 11, 3)], ) df = df.asfreq("B") assert isinstance(df.index, DatetimeIndex) ts = df["A"].asfreq("B") assert isinstance(ts.index, DatetimeIndex) def test_asfreq_fillvalue(self): # test for fill value during upsampling, related to issue 3715 # setup rng = date_range("1/1/2016", periods=10, freq="2S") ts = Series(np.arange(len(rng)), index=rng) df = DataFrame({"one": ts}) # insert pre-existing missing value df.loc["2016-01-01 00:00:08", "one"] = None actual_df = df.asfreq(freq="1S", fill_value=9.0) expected_df = df.asfreq(freq="1S").fillna(9.0) expected_df.loc["2016-01-01 00:00:08", "one"] = None tm.assert_frame_equal(expected_df, actual_df) expected_series = ts.asfreq(freq="1S").fillna(9.0) actual_series = ts.asfreq(freq="1S", fill_value=9.0) tm.assert_series_equal(expected_series, actual_series)