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- import numpy as np
- import pytest
- from pandas import (
- NaT,
- Period,
- PeriodIndex,
- date_range,
- period_range,
- )
- import pandas._testing as tm
- class TestPeriodRange:
- 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")
- @pytest.mark.parametrize("freq", ["D", "W", "M", "Q", "A"])
- def test_construction_from_string(self, freq):
- # non-empty
- expected = date_range(
- start="2017-01-01", periods=5, freq=freq, name="foo"
- ).to_period()
- start, end = str(expected[0]), str(expected[-1])
- result = period_range(start=start, end=end, freq=freq, name="foo")
- tm.assert_index_equal(result, expected)
- result = period_range(start=start, periods=5, freq=freq, name="foo")
- tm.assert_index_equal(result, expected)
- result = period_range(end=end, periods=5, freq=freq, name="foo")
- tm.assert_index_equal(result, expected)
- # empty
- expected = PeriodIndex([], freq=freq, name="foo")
- result = period_range(start=start, periods=0, freq=freq, name="foo")
- tm.assert_index_equal(result, expected)
- result = period_range(end=end, periods=0, freq=freq, name="foo")
- tm.assert_index_equal(result, expected)
- result = period_range(start=end, end=start, freq=freq, 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="M", name="foo"
- ).to_period()
- result = period_range(start=start, end=end, freq="M", name="foo")
- tm.assert_index_equal(result, expected)
- # downsampling
- start, end = Period("2017-1", freq="M"), Period("2019-12", freq="M")
- expected = date_range(
- start="2017-01-31", end="2019-12-31", freq="Q", 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, end = Period("2017Q1", freq="Q"), 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_errors(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()
- # too many params
- with pytest.raises(ValueError, match=msg):
- period_range(start="2017Q1", end="2018Q1", periods=8, freq="Q")
- # 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="2017Q1", end=NaT)
- # invalid periods param
- msg = "periods must be a number, got foo"
- with pytest.raises(TypeError, match=msg):
- period_range(start="2017Q1", periods="foo")
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