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_to_timestamp.py (4020B)

from datetime import timedelta

import numpy as np
import pytest

from pandas import (
    DataFrame,
    DatetimeIndex,
    Timedelta,
    date_range,
    period_range,
    to_datetime,
)
import pandas._testing as tm

class TestToTimestamp:
    def test_frame_to_time_stamp(self):
        K = 5
        index = period_range(freq="A", start="1/1/2001", end="12/1/2009")
        df = DataFrame(np.random.randn(len(index), K), index=index)
        df["mix"] = "a"

exp_index = date_range("1/1/2001", end="12/31/2009", freq="A-DEC")
        exp_index = exp_index + Timedelta(1, "D") - Timedelta(1, "ns")
        result = df.to_timestamp("D", "end")
        tm.assert_index_equal(result.index, exp_index)
        tm.assert_numpy_array_equal(result.values, df.values)

exp_index = date_range("1/1/2001", end="1/1/2009", freq="AS-JAN")
        result = df.to_timestamp("D", "start")
        tm.assert_index_equal(result.index, exp_index)

def _get_with_delta(delta, freq="A-DEC"):
            return date_range(
                to_datetime("1/1/2001") + delta,
                to_datetime("12/31/2009") + delta,
                freq=freq,
            )

delta = timedelta(hours=23)
        result = df.to_timestamp("H", "end")
        exp_index = _get_with_delta(delta)
        exp_index = exp_index + Timedelta(1, "h") - Timedelta(1, "ns")
        tm.assert_index_equal(result.index, exp_index)

delta = timedelta(hours=23, minutes=59)
        result = df.to_timestamp("T", "end")
        exp_index = _get_with_delta(delta)
        exp_index = exp_index + Timedelta(1, "m") - Timedelta(1, "ns")
        tm.assert_index_equal(result.index, exp_index)

result = df.to_timestamp("S", "end")
        delta = timedelta(hours=23, minutes=59, seconds=59)
        exp_index = _get_with_delta(delta)
        exp_index = exp_index + Timedelta(1, "s") - Timedelta(1, "ns")
        tm.assert_index_equal(result.index, exp_index)

# columns
        df = df.T

exp_index = date_range("1/1/2001", end="12/31/2009", freq="A-DEC")
        exp_index = exp_index + Timedelta(1, "D") - Timedelta(1, "ns")
        result = df.to_timestamp("D", "end", axis=1)
        tm.assert_index_equal(result.columns, exp_index)
        tm.assert_numpy_array_equal(result.values, df.values)

exp_index = date_range("1/1/2001", end="1/1/2009", freq="AS-JAN")
        result = df.to_timestamp("D", "start", axis=1)
        tm.assert_index_equal(result.columns, exp_index)

delta = timedelta(hours=23)
        result = df.to_timestamp("H", "end", axis=1)
        exp_index = _get_with_delta(delta)
        exp_index = exp_index + Timedelta(1, "h") - Timedelta(1, "ns")
        tm.assert_index_equal(result.columns, exp_index)

delta = timedelta(hours=23, minutes=59)
        result = df.to_timestamp("T", "end", axis=1)
        exp_index = _get_with_delta(delta)
        exp_index = exp_index + Timedelta(1, "m") - Timedelta(1, "ns")
        tm.assert_index_equal(result.columns, exp_index)

result = df.to_timestamp("S", "end", axis=1)
        delta = timedelta(hours=23, minutes=59, seconds=59)
        exp_index = _get_with_delta(delta)
        exp_index = exp_index + Timedelta(1, "s") - Timedelta(1, "ns")
        tm.assert_index_equal(result.columns, exp_index)

# invalid axis
        with pytest.raises(ValueError, match="axis"):
            df.to_timestamp(axis=2)

result1 = df.to_timestamp("5t", axis=1)
        result2 = df.to_timestamp("t", axis=1)
        expected = date_range("2001-01-01", "2009-01-01", freq="AS")
        assert isinstance(result1.columns, DatetimeIndex)
        assert isinstance(result2.columns, DatetimeIndex)
        tm.assert_numpy_array_equal(result1.columns.asi8, expected.asi8)
        tm.assert_numpy_array_equal(result2.columns.asi8, expected.asi8)
        # PeriodIndex.to_timestamp always use 'infer'
        assert result1.columns.freqstr == "AS-JAN"
        assert result2.columns.freqstr == "AS-JAN"

from datetime import timedelta import numpy as np import pytest from pandas import ( DataFrame, DatetimeIndex, Timedelta, date_range, period_range, to_datetime, ) import pandas._testing as tm class TestToTimestamp: def test_frame_to_time_stamp(self): K = 5 index = period_range(freq="A", start="1/1/2001", end="12/1/2009") df = DataFrame(np.random.randn(len(index), K), index=index) df["mix"] = "a" exp_index = date_range("1/1/2001", end="12/31/2009", freq="A-DEC") exp_index = exp_index + Timedelta(1, "D") - Timedelta(1, "ns") result = df.to_timestamp("D", "end") tm.assert_index_equal(result.index, exp_index) tm.assert_numpy_array_equal(result.values, df.values) exp_index = date_range("1/1/2001", end="1/1/2009", freq="AS-JAN") result = df.to_timestamp("D", "start") tm.assert_index_equal(result.index, exp_index) def _get_with_delta(delta, freq="A-DEC"): return date_range( to_datetime("1/1/2001") + delta, to_datetime("12/31/2009") + delta, freq=freq, ) delta = timedelta(hours=23) result = df.to_timestamp("H", "end") exp_index = _get_with_delta(delta) exp_index = exp_index + Timedelta(1, "h") - Timedelta(1, "ns") tm.assert_index_equal(result.index, exp_index) delta = timedelta(hours=23, minutes=59) result = df.to_timestamp("T", "end") exp_index = _get_with_delta(delta) exp_index = exp_index + Timedelta(1, "m") - Timedelta(1, "ns") tm.assert_index_equal(result.index, exp_index) result = df.to_timestamp("S", "end") delta = timedelta(hours=23, minutes=59, seconds=59) exp_index = _get_with_delta(delta) exp_index = exp_index + Timedelta(1, "s") - Timedelta(1, "ns") tm.assert_index_equal(result.index, exp_index) # columns df = df.T exp_index = date_range("1/1/2001", end="12/31/2009", freq="A-DEC") exp_index = exp_index + Timedelta(1, "D") - Timedelta(1, "ns") result = df.to_timestamp("D", "end", axis=1) tm.assert_index_equal(result.columns, exp_index) tm.assert_numpy_array_equal(result.values, df.values) exp_index = date_range("1/1/2001", end="1/1/2009", freq="AS-JAN") result = df.to_timestamp("D", "start", axis=1) tm.assert_index_equal(result.columns, exp_index) delta = timedelta(hours=23) result = df.to_timestamp("H", "end", axis=1) exp_index = _get_with_delta(delta) exp_index = exp_index + Timedelta(1, "h") - Timedelta(1, "ns") tm.assert_index_equal(result.columns, exp_index) delta = timedelta(hours=23, minutes=59) result = df.to_timestamp("T", "end", axis=1) exp_index = _get_with_delta(delta) exp_index = exp_index + Timedelta(1, "m") - Timedelta(1, "ns") tm.assert_index_equal(result.columns, exp_index) result = df.to_timestamp("S", "end", axis=1) delta = timedelta(hours=23, minutes=59, seconds=59) exp_index = _get_with_delta(delta) exp_index = exp_index + Timedelta(1, "s") - Timedelta(1, "ns") tm.assert_index_equal(result.columns, exp_index) # invalid axis with pytest.raises(ValueError, match="axis"): df.to_timestamp(axis=2) result1 = df.to_timestamp("5t", axis=1) result2 = df.to_timestamp("t", axis=1) expected = date_range("2001-01-01", "2009-01-01", freq="AS") assert isinstance(result1.columns, DatetimeIndex) assert isinstance(result2.columns, DatetimeIndex) tm.assert_numpy_array_equal(result1.columns.asi8, expected.asi8) tm.assert_numpy_array_equal(result2.columns.asi8, expected.asi8) # PeriodIndex.to_timestamp always use 'infer' assert result1.columns.freqstr == "AS-JAN" assert result2.columns.freqstr == "AS-JAN"