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test_timedelta.py
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test_timedelta.py
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from datetime import timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import DataFrame, Series
import pandas._testing as tm
from pandas.core.indexes.timedeltas import timedelta_range
def test_asfreq_bug():
df = DataFrame(data=[1, 3], index=[timedelta(), timedelta(minutes=3)])
result = df.resample("1T").asfreq()
expected = DataFrame(
data=[1, np.nan, np.nan, 3],
index=timedelta_range("0 day", periods=4, freq="1T"),
)
tm.assert_frame_equal(result, expected)
def test_resample_with_nat():
# GH 13223
index = pd.to_timedelta(["0s", pd.NaT, "2s"])
result = DataFrame({"value": [2, 3, 5]}, index).resample("1s").mean()
expected = DataFrame(
{"value": [2.5, np.nan, 5.0]},
index=timedelta_range("0 day", periods=3, freq="1S"),
)
tm.assert_frame_equal(result, expected)
def test_resample_as_freq_with_subperiod():
# GH 13022
index = timedelta_range("00:00:00", "00:10:00", freq="5T")
df = DataFrame(data={"value": [1, 5, 10]}, index=index)
result = df.resample("2T").asfreq()
expected_data = {"value": [1, np.nan, np.nan, np.nan, np.nan, 10]}
expected = DataFrame(
data=expected_data, index=timedelta_range("00:00:00", "00:10:00", freq="2T")
)
tm.assert_frame_equal(result, expected)
def test_resample_with_timedeltas():
expected = DataFrame({"A": np.arange(1480)})
expected = expected.groupby(expected.index // 30).sum()
expected.index = pd.timedelta_range("0 days", freq="30T", periods=50)
df = DataFrame(
{"A": np.arange(1480)}, index=pd.to_timedelta(np.arange(1480), unit="T")
)
result = df.resample("30T").sum()
tm.assert_frame_equal(result, expected)
s = df["A"]
result = s.resample("30T").sum()
tm.assert_series_equal(result, expected["A"])
def test_resample_single_period_timedelta():
s = Series(list(range(5)), index=pd.timedelta_range("1 day", freq="s", periods=5))
result = s.resample("2s").sum()
expected = Series(
[1, 5, 4], index=pd.timedelta_range("1 day", freq="2s", periods=3)
)
tm.assert_series_equal(result, expected)
def test_resample_timedelta_idempotency():
# GH 12072
index = pd.timedelta_range("0", periods=9, freq="10L")
series = Series(range(9), index=index)
result = series.resample("10L").mean()
expected = series
tm.assert_series_equal(result, expected)
def test_resample_offset_with_timedeltaindex():
# GH 10530 & 31809
rng = timedelta_range(start="0s", periods=25, freq="s")
ts = Series(np.random.randn(len(rng)), index=rng)
with_base = ts.resample("2s", offset="5s").mean()
without_base = ts.resample("2s").mean()
exp_without_base = timedelta_range(start="0s", end="25s", freq="2s")
exp_with_base = timedelta_range(start="5s", end="29s", freq="2s")
tm.assert_index_equal(without_base.index, exp_without_base)
tm.assert_index_equal(with_base.index, exp_with_base)
def test_resample_categorical_data_with_timedeltaindex():
# GH #12169
df = DataFrame({"Group_obj": "A"}, index=pd.to_timedelta(list(range(20)), unit="s"))
df["Group"] = df["Group_obj"].astype("category")
result = df.resample("10s").agg(lambda x: (x.value_counts().index[0]))
expected = DataFrame(
{"Group_obj": ["A", "A"], "Group": ["A", "A"]},
index=pd.TimedeltaIndex([0, 10], unit="s", freq="10s"),
)
expected = expected.reindex(["Group_obj", "Group"], axis=1)
expected["Group"] = expected["Group_obj"]
tm.assert_frame_equal(result, expected)
def test_resample_timedelta_values():
# GH 13119
# check that timedelta dtype is preserved when NaT values are
# introduced by the resampling
times = timedelta_range("1 day", "6 day", freq="4D")
df = DataFrame({"time": times}, index=times)
times2 = timedelta_range("1 day", "6 day", freq="2D")
exp = Series(times2, index=times2, name="time")
exp.iloc[1] = pd.NaT
res = df.resample("2D").first()["time"]
tm.assert_series_equal(res, exp)
res = df["time"].resample("2D").first()
tm.assert_series_equal(res, exp)
@pytest.mark.parametrize(
"start, end, freq, resample_freq",
[
("8H", "21h59min50s", "10S", "3H"), # GH 30353 example
("3H", "22H", "1H", "5H"),
("527D", "5006D", "3D", "10D"),
("1D", "10D", "1D", "2D"), # GH 13022 example
# tests that worked before GH 33498:
("8H", "21h59min50s", "10S", "2H"),
("0H", "21h59min50s", "10S", "3H"),
("10D", "85D", "D", "2D"),
],
)
def test_resample_timedelta_edge_case(start, end, freq, resample_freq):
# GH 33498
# check that the timedelta bins does not contains an extra bin
idx = pd.timedelta_range(start=start, end=end, freq=freq)
s = Series(np.arange(len(idx)), index=idx)
result = s.resample(resample_freq).min()
expected_index = pd.timedelta_range(freq=resample_freq, start=start, end=end)
tm.assert_index_equal(result.index, expected_index)
assert result.index.freq == expected_index.freq
assert not np.isnan(result[-1])
def test_resample_with_timedelta_yields_no_empty_groups():
# GH 10603
df = DataFrame(
np.random.normal(size=(10000, 4)),
index=pd.timedelta_range(start="0s", periods=10000, freq="3906250n"),
)
result = df.loc["1s":, :].resample("3s").apply(lambda x: len(x))
expected = DataFrame(
[[768.0] * 4] * 12 + [[528.0] * 4],
index=pd.timedelta_range(start="1s", periods=13, freq="3s"),
)
tm.assert_frame_equal(result, expected)
def test_resample_quantile_timedelta():
# GH: 29485
df = DataFrame(
{"value": pd.to_timedelta(np.arange(4), unit="s")},
index=pd.date_range("20200101", periods=4, tz="UTC"),
)
result = df.resample("2D").quantile(0.99)
expected = DataFrame(
{
"value": [
pd.Timedelta("0 days 00:00:00.990000"),
pd.Timedelta("0 days 00:00:02.990000"),
]
},
index=pd.date_range("20200101", periods=2, tz="UTC", freq="2D"),
)
tm.assert_frame_equal(result, expected)