/
test_expand_events.py
137 lines (121 loc) · 3.89 KB
/
test_expand_events.py
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import pandas as pd
from adtk.data import expand_events
event_list = [
pd.Timestamp("2017-1-1 20:04:00"),
(pd.Timestamp("2017-1-1 20:00:00"), pd.Timestamp("2017-1-1 20:05:59")),
(pd.Timestamp("2017-1-1 20:03:00"), pd.Timestamp("2017-1-1 20:08:59")),
pd.Timestamp("2017-1-1 20:30:00"),
pd.Timestamp("2017-1-1 21:00:00"),
(pd.Timestamp("2017-1-1 21:05:00"), pd.Timestamp("2017-1-1 21:06:59")),
pd.Timestamp("2017-1-1 21:03:00"),
]
nan = float("nan")
event_labels = pd.Series(
[0, 0, 1, 1, nan, 0, 1, 0, nan, 0, 0, 1],
index=pd.date_range(start="2017-1-1", periods=12, freq="D"),
)
def test_expand_event_series_freq():
expanded_events = expand_events(
event_labels,
left_expand="1hour",
right_expand="1hour",
freq_as_period=True,
)
true_expanded_events = pd.Series(
[0, 1, 1, 1, 1, 1, 1, 1, nan, 0, 1, 1],
index=pd.date_range(start="2017-1-1", periods=12, freq="D"),
)
pd.testing.assert_series_equal(
true_expanded_events, expanded_events, check_dtype=False
)
def test_expand_event_series_no_freq():
expanded_events = expand_events(
event_labels,
left_expand="1hour",
right_expand="1hour",
freq_as_period=False,
)
pd.testing.assert_series_equal(
event_labels, expanded_events, check_dtype=False
)
def test_expand_event_df_freq():
expanded_events = expand_events(
pd.concat(
[event_labels.rename("A"), event_labels.rename("B")], axis=1
),
left_expand="1hour",
right_expand="1hour",
freq_as_period=True,
)
true_expanded_events = pd.Series(
[0, 1, 1, 1, 1, 1, 1, 1, nan, 0, 1, 1],
index=pd.date_range(start="2017-1-1", periods=12, freq="D"),
)
true_expanded_events = pd.concat(
[true_expanded_events.rename("A"), true_expanded_events.rename("B")],
axis=1,
)
pd.testing.assert_frame_equal(
true_expanded_events, expanded_events, check_dtype=False
)
def test_expand_event_df_no_freq():
expanded_events = expand_events(
pd.concat(
[event_labels.rename("A"), event_labels.rename("B")], axis=1
),
left_expand="1hour",
right_expand="1hour",
freq_as_period=False,
)
pd.testing.assert_frame_equal(
pd.concat(
[event_labels.rename("A"), event_labels.rename("B")], axis=1
),
expanded_events,
check_dtype=False,
)
def test_expand_event_list():
expanded_events = expand_events(
event_list, left_expand="1min", right_expand="3min"
)
assert expanded_events == [
(pd.Timestamp("2017-1-1 19:59:00"), pd.Timestamp("2017-1-1 20:11:59")),
(pd.Timestamp("2017-1-1 20:29:00"), pd.Timestamp("2017-1-1 20:33:00")),
(pd.Timestamp("2017-1-1 20:59:00"), pd.Timestamp("2017-1-1 21:09:59")),
]
def test_expand_event_dict():
expanded_events = expand_events(
{"A": event_list, "B": event_list},
left_expand="1min",
right_expand="3min",
)
assert expanded_events == {
"A": [
(
pd.Timestamp("2017-1-1 19:59:00"),
pd.Timestamp("2017-1-1 20:11:59"),
),
(
pd.Timestamp("2017-1-1 20:29:00"),
pd.Timestamp("2017-1-1 20:33:00"),
),
(
pd.Timestamp("2017-1-1 20:59:00"),
pd.Timestamp("2017-1-1 21:09:59"),
),
],
"B": [
(
pd.Timestamp("2017-1-1 19:59:00"),
pd.Timestamp("2017-1-1 20:11:59"),
),
(
pd.Timestamp("2017-1-1 20:29:00"),
pd.Timestamp("2017-1-1 20:33:00"),
),
(
pd.Timestamp("2017-1-1 20:59:00"),
pd.Timestamp("2017-1-1 21:09:59"),
),
],
}