3RNN/Lib/site-packages/pandas/tests/indexes/period/test_period_range.py
2024-05-26 19:49:15 +02:00

242 lines
8.8 KiB
Python

import numpy as np
import pytest
from pandas import (
NaT,
Period,
PeriodIndex,
date_range,
period_range,
)
import pandas._testing as tm
class TestPeriodRangeKeywords:
def test_required_arguments(self):
msg = (
"Of the three parameters: start, end, and periods, exactly two "
"must be specified"
)
with pytest.raises(ValueError, match=msg):
period_range("2011-1-1", "2012-1-1", "B")
def test_required_arguments2(self):
start = Period("02-Apr-2005", "D")
msg = (
"Of the three parameters: start, end, and periods, exactly two "
"must be specified"
)
with pytest.raises(ValueError, match=msg):
period_range(start=start)
def test_required_arguments3(self):
# not enough params
msg = (
"Of the three parameters: start, end, and periods, "
"exactly two must be specified"
)
with pytest.raises(ValueError, match=msg):
period_range(start="2017Q1")
with pytest.raises(ValueError, match=msg):
period_range(end="2017Q1")
with pytest.raises(ValueError, match=msg):
period_range(periods=5)
with pytest.raises(ValueError, match=msg):
period_range()
def test_required_arguments_too_many(self):
msg = (
"Of the three parameters: start, end, and periods, "
"exactly two must be specified"
)
with pytest.raises(ValueError, match=msg):
period_range(start="2017Q1", end="2018Q1", periods=8, freq="Q")
def test_start_end_non_nat(self):
# start/end NaT
msg = "start and end must not be NaT"
with pytest.raises(ValueError, match=msg):
period_range(start=NaT, end="2018Q1")
with pytest.raises(ValueError, match=msg):
period_range(start=NaT, end="2018Q1", freq="Q")
with pytest.raises(ValueError, match=msg):
period_range(start="2017Q1", end=NaT)
with pytest.raises(ValueError, match=msg):
period_range(start="2017Q1", end=NaT, freq="Q")
def test_periods_requires_integer(self):
# invalid periods param
msg = "periods must be a number, got foo"
with pytest.raises(TypeError, match=msg):
period_range(start="2017Q1", periods="foo")
class TestPeriodRange:
@pytest.mark.parametrize(
"freq_offset, freq_period",
[
("D", "D"),
("W", "W"),
("QE", "Q"),
("YE", "Y"),
],
)
def test_construction_from_string(self, freq_offset, freq_period):
# non-empty
expected = date_range(
start="2017-01-01", periods=5, freq=freq_offset, name="foo"
).to_period()
start, end = str(expected[0]), str(expected[-1])
result = period_range(start=start, end=end, freq=freq_period, name="foo")
tm.assert_index_equal(result, expected)
result = period_range(start=start, periods=5, freq=freq_period, name="foo")
tm.assert_index_equal(result, expected)
result = period_range(end=end, periods=5, freq=freq_period, name="foo")
tm.assert_index_equal(result, expected)
# empty
expected = PeriodIndex([], freq=freq_period, name="foo")
result = period_range(start=start, periods=0, freq=freq_period, name="foo")
tm.assert_index_equal(result, expected)
result = period_range(end=end, periods=0, freq=freq_period, name="foo")
tm.assert_index_equal(result, expected)
result = period_range(start=end, end=start, freq=freq_period, name="foo")
tm.assert_index_equal(result, expected)
def test_construction_from_string_monthly(self):
# non-empty
expected = date_range(
start="2017-01-01", periods=5, freq="ME", name="foo"
).to_period()
start, end = str(expected[0]), str(expected[-1])
result = period_range(start=start, end=end, freq="M", name="foo")
tm.assert_index_equal(result, expected)
result = period_range(start=start, periods=5, freq="M", name="foo")
tm.assert_index_equal(result, expected)
result = period_range(end=end, periods=5, freq="M", name="foo")
tm.assert_index_equal(result, expected)
# empty
expected = PeriodIndex([], freq="M", name="foo")
result = period_range(start=start, periods=0, freq="M", name="foo")
tm.assert_index_equal(result, expected)
result = period_range(end=end, periods=0, freq="M", name="foo")
tm.assert_index_equal(result, expected)
result = period_range(start=end, end=start, freq="M", name="foo")
tm.assert_index_equal(result, expected)
def test_construction_from_period(self):
# upsampling
start, end = Period("2017Q1", freq="Q"), Period("2018Q1", freq="Q")
expected = date_range(
start="2017-03-31", end="2018-03-31", freq="ME", name="foo"
).to_period()
result = period_range(start=start, end=end, freq="M", name="foo")
tm.assert_index_equal(result, expected)
# downsampling
start = Period("2017-1", freq="M")
end = Period("2019-12", freq="M")
expected = date_range(
start="2017-01-31", end="2019-12-31", freq="QE", name="foo"
).to_period()
result = period_range(start=start, end=end, freq="Q", name="foo")
tm.assert_index_equal(result, expected)
# test for issue # 21793
start = Period("2017Q1", freq="Q")
end = Period("2018Q1", freq="Q")
idx = period_range(start=start, end=end, freq="Q", name="foo")
result = idx == idx.values
expected = np.array([True, True, True, True, True])
tm.assert_numpy_array_equal(result, expected)
# empty
expected = PeriodIndex([], freq="W", name="foo")
result = period_range(start=start, periods=0, freq="W", name="foo")
tm.assert_index_equal(result, expected)
result = period_range(end=end, periods=0, freq="W", name="foo")
tm.assert_index_equal(result, expected)
result = period_range(start=end, end=start, freq="W", name="foo")
tm.assert_index_equal(result, expected)
def test_mismatched_start_end_freq_raises(self):
depr_msg = "Period with BDay freq is deprecated"
msg = "'w' is deprecated and will be removed in a future version."
with tm.assert_produces_warning(FutureWarning, match=msg):
end_w = Period("2006-12-31", "1w")
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
start_b = Period("02-Apr-2005", "B")
end_b = Period("2005-05-01", "B")
msg = "start and end must have same freq"
with pytest.raises(ValueError, match=msg):
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
period_range(start=start_b, end=end_w)
# without mismatch we are OK
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
period_range(start=start_b, end=end_b)
class TestPeriodRangeDisallowedFreqs:
def test_constructor_U(self):
# U was used as undefined period
with pytest.raises(ValueError, match="Invalid frequency: X"):
period_range("2007-1-1", periods=500, freq="X")
@pytest.mark.parametrize(
"freq,freq_depr",
[
("2Y", "2A"),
("2Y", "2a"),
("2Y-AUG", "2A-AUG"),
("2Y-AUG", "2A-aug"),
],
)
def test_a_deprecated_from_time_series(self, freq, freq_depr):
# GH#52536
msg = f"'{freq_depr[1:]}' is deprecated and will be removed in a "
f"future version. Please use '{freq[1:]}' instead."
with tm.assert_produces_warning(FutureWarning, match=msg):
period_range(freq=freq_depr, start="1/1/2001", end="12/1/2009")
@pytest.mark.parametrize("freq_depr", ["2H", "2MIN", "2S", "2US", "2NS"])
def test_uppercase_freq_deprecated_from_time_series(self, freq_depr):
# GH#52536, GH#54939
msg = f"'{freq_depr[1:]}' is deprecated and will be removed in a "
f"future version. Please use '{freq_depr.lower()[1:]}' instead."
with tm.assert_produces_warning(FutureWarning, match=msg):
period_range("2020-01-01 00:00:00 00:00", periods=2, freq=freq_depr)
@pytest.mark.parametrize("freq_depr", ["2m", "2q-sep", "2y", "2w"])
def test_lowercase_freq_deprecated_from_time_series(self, freq_depr):
# GH#52536, GH#54939
msg = f"'{freq_depr[1:]}' is deprecated and will be removed in a "
f"future version. Please use '{freq_depr.upper()[1:]}' instead."
with tm.assert_produces_warning(FutureWarning, match=msg):
period_range(freq=freq_depr, start="1/1/2001", end="12/1/2009")