import numpy as np
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import pytest
|
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from pandas._libs.tslibs.period import IncompatibleFrequency
|
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from pandas.core.dtypes.dtypes import PeriodDtype
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from pandas import (
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Index,
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NaT,
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Period,
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PeriodIndex,
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Series,
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date_range,
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offsets,
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period_range,
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)
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import pandas._testing as tm
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from pandas.core.arrays import PeriodArray
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class TestPeriodIndexDisallowedFreqs:
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@pytest.mark.parametrize(
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"freq,freq_depr",
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[
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("2M", "2ME"),
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("2Q-MAR", "2QE-MAR"),
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("2Y-FEB", "2YE-FEB"),
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("2M", "2me"),
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("2Q-MAR", "2qe-MAR"),
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("2Y-FEB", "2yE-feb"),
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],
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)
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def test_period_index_offsets_frequency_error_message(self, freq, freq_depr):
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# GH#52064
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msg = f"for Period, please use '{freq[1:]}' instead of '{freq_depr[1:]}'"
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with pytest.raises(ValueError, match=msg):
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PeriodIndex(["2020-01-01", "2020-01-02"], freq=freq_depr)
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with pytest.raises(ValueError, match=msg):
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period_range(start="2020-01-01", end="2020-01-02", freq=freq_depr)
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@pytest.mark.parametrize("freq_depr", ["2SME", "2sme", "2CBME", "2BYE", "2Bye"])
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def test_period_index_frequency_invalid_freq(self, freq_depr):
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# GH#9586
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msg = f"Invalid frequency: {freq_depr[1:]}"
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with pytest.raises(ValueError, match=msg):
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period_range("2020-01", "2020-05", freq=freq_depr)
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with pytest.raises(ValueError, match=msg):
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PeriodIndex(["2020-01", "2020-05"], freq=freq_depr)
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@pytest.mark.parametrize("freq", ["2BQE-SEP", "2BYE-MAR", "2BME"])
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def test_period_index_from_datetime_index_invalid_freq(self, freq):
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# GH#56899
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msg = f"Invalid frequency: {freq[1:]}"
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rng = date_range("01-Jan-2012", periods=8, freq=freq)
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with pytest.raises(ValueError, match=msg):
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rng.to_period()
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class TestPeriodIndex:
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def test_from_ordinals(self):
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Period(ordinal=-1000, freq="Y")
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Period(ordinal=0, freq="Y")
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msg = "The 'ordinal' keyword in PeriodIndex is deprecated"
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with tm.assert_produces_warning(FutureWarning, match=msg):
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idx1 = PeriodIndex(ordinal=[-1, 0, 1], freq="Y")
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with tm.assert_produces_warning(FutureWarning, match=msg):
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idx2 = PeriodIndex(ordinal=np.array([-1, 0, 1]), freq="Y")
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tm.assert_index_equal(idx1, idx2)
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alt1 = PeriodIndex.from_ordinals([-1, 0, 1], freq="Y")
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tm.assert_index_equal(alt1, idx1)
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alt2 = PeriodIndex.from_ordinals(np.array([-1, 0, 1]), freq="Y")
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tm.assert_index_equal(alt2, idx2)
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def test_keyword_mismatch(self):
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# GH#55961 we should get exactly one of data/ordinals/**fields
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per = Period("2016-01-01", "D")
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depr_msg1 = "The 'ordinal' keyword in PeriodIndex is deprecated"
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depr_msg2 = "Constructing PeriodIndex from fields is deprecated"
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err_msg1 = "Cannot pass both data and ordinal"
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with pytest.raises(ValueError, match=err_msg1):
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with tm.assert_produces_warning(FutureWarning, match=depr_msg1):
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PeriodIndex(data=[per], ordinal=[per.ordinal], freq=per.freq)
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err_msg2 = "Cannot pass both data and fields"
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with pytest.raises(ValueError, match=err_msg2):
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with tm.assert_produces_warning(FutureWarning, match=depr_msg2):
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PeriodIndex(data=[per], year=[per.year], freq=per.freq)
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err_msg3 = "Cannot pass both ordinal and fields"
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with pytest.raises(ValueError, match=err_msg3):
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with tm.assert_produces_warning(FutureWarning, match=depr_msg2):
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PeriodIndex(ordinal=[per.ordinal], year=[per.year], freq=per.freq)
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def test_construction_base_constructor(self):
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# GH 13664
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arr = [Period("2011-01", freq="M"), NaT, Period("2011-03", freq="M")]
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tm.assert_index_equal(Index(arr), PeriodIndex(arr))
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tm.assert_index_equal(Index(np.array(arr)), PeriodIndex(np.array(arr)))
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arr = [np.nan, NaT, Period("2011-03", freq="M")]
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tm.assert_index_equal(Index(arr), PeriodIndex(arr))
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tm.assert_index_equal(Index(np.array(arr)), PeriodIndex(np.array(arr)))
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arr = [Period("2011-01", freq="M"), NaT, Period("2011-03", freq="D")]
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tm.assert_index_equal(Index(arr), Index(arr, dtype=object))
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tm.assert_index_equal(Index(np.array(arr)), Index(np.array(arr), dtype=object))
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def test_base_constructor_with_period_dtype(self):
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dtype = PeriodDtype("D")
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values = ["2011-01-01", "2012-03-04", "2014-05-01"]
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result = Index(values, dtype=dtype)
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expected = PeriodIndex(values, dtype=dtype)
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tm.assert_index_equal(result, expected)
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@pytest.mark.parametrize(
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"values_constructor", [list, np.array, PeriodIndex, PeriodArray._from_sequence]
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)
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def test_index_object_dtype(self, values_constructor):
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# Index(periods, dtype=object) is an Index (not an PeriodIndex)
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periods = [
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Period("2011-01", freq="M"),
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NaT,
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Period("2011-03", freq="M"),
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]
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values = values_constructor(periods)
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result = Index(values, dtype=object)
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assert type(result) is Index
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tm.assert_numpy_array_equal(result.values, np.array(values))
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def test_constructor_use_start_freq(self):
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# GH #1118
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msg1 = "Period with BDay freq is deprecated"
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with tm.assert_produces_warning(FutureWarning, match=msg1):
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p = Period("4/2/2012", freq="B")
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msg2 = r"PeriodDtype\[B\] is deprecated"
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with tm.assert_produces_warning(FutureWarning, match=msg2):
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expected = period_range(start="4/2/2012", periods=10, freq="B")
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with tm.assert_produces_warning(FutureWarning, match=msg2):
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index = period_range(start=p, periods=10)
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tm.assert_index_equal(index, expected)
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def test_constructor_field_arrays(self):
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# GH #1264
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years = np.arange(1990, 2010).repeat(4)[2:-2]
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quarters = np.tile(np.arange(1, 5), 20)[2:-2]
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depr_msg = "Constructing PeriodIndex from fields is deprecated"
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with tm.assert_produces_warning(FutureWarning, match=depr_msg):
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index = PeriodIndex(year=years, quarter=quarters, freq="Q-DEC")
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expected = period_range("1990Q3", "2009Q2", freq="Q-DEC")
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tm.assert_index_equal(index, expected)
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with tm.assert_produces_warning(FutureWarning, match=depr_msg):
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index2 = PeriodIndex(year=years, quarter=quarters, freq="2Q-DEC")
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tm.assert_numpy_array_equal(index.asi8, index2.asi8)
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with tm.assert_produces_warning(FutureWarning, match=depr_msg):
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index = PeriodIndex(year=years, quarter=quarters)
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tm.assert_index_equal(index, expected)
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years = [2007, 2007, 2007]
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months = [1, 2]
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msg = "Mismatched Period array lengths"
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with pytest.raises(ValueError, match=msg):
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with tm.assert_produces_warning(FutureWarning, match=depr_msg):
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PeriodIndex(year=years, month=months, freq="M")
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with pytest.raises(ValueError, match=msg):
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with tm.assert_produces_warning(FutureWarning, match=depr_msg):
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PeriodIndex(year=years, month=months, freq="2M")
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years = [2007, 2007, 2007]
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months = [1, 2, 3]
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with tm.assert_produces_warning(FutureWarning, match=depr_msg):
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idx = PeriodIndex(year=years, month=months, freq="M")
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exp = period_range("2007-01", periods=3, freq="M")
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tm.assert_index_equal(idx, exp)
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def test_constructor_nano(self):
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idx = period_range(
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start=Period(ordinal=1, freq="ns"),
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end=Period(ordinal=4, freq="ns"),
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freq="ns",
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)
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exp = PeriodIndex(
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[
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Period(ordinal=1, freq="ns"),
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Period(ordinal=2, freq="ns"),
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Period(ordinal=3, freq="ns"),
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Period(ordinal=4, freq="ns"),
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],
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freq="ns",
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)
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tm.assert_index_equal(idx, exp)
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def test_constructor_arrays_negative_year(self):
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years = np.arange(1960, 2000, dtype=np.int64).repeat(4)
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quarters = np.tile(np.array([1, 2, 3, 4], dtype=np.int64), 40)
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msg = "Constructing PeriodIndex from fields is deprecated"
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with tm.assert_produces_warning(FutureWarning, match=msg):
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pindex = PeriodIndex(year=years, quarter=quarters)
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tm.assert_index_equal(pindex.year, Index(years))
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tm.assert_index_equal(pindex.quarter, Index(quarters))
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alt = PeriodIndex.from_fields(year=years, quarter=quarters)
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tm.assert_index_equal(alt, pindex)
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def test_constructor_invalid_quarters(self):
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depr_msg = "Constructing PeriodIndex from fields is deprecated"
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msg = "Quarter must be 1 <= q <= 4"
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with pytest.raises(ValueError, match=msg):
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with tm.assert_produces_warning(FutureWarning, match=depr_msg):
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PeriodIndex(
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year=range(2000, 2004), quarter=list(range(4)), freq="Q-DEC"
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)
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def test_period_range_fractional_period(self):
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msg = "Non-integer 'periods' in pd.date_range, pd.timedelta_range"
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with tm.assert_produces_warning(FutureWarning, match=msg):
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result = period_range("2007-01", periods=10.5, freq="M")
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exp = period_range("2007-01", periods=10, freq="M")
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tm.assert_index_equal(result, exp)
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def test_constructor_with_without_freq(self):
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# GH53687
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start = Period("2002-01-01 00:00", freq="30min")
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exp = period_range(start=start, periods=5, freq=start.freq)
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result = period_range(start=start, periods=5)
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tm.assert_index_equal(exp, result)
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def test_constructor_fromarraylike(self):
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idx = period_range("2007-01", periods=20, freq="M")
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# values is an array of Period, thus can retrieve freq
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tm.assert_index_equal(PeriodIndex(idx.values), idx)
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tm.assert_index_equal(PeriodIndex(list(idx.values)), idx)
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msg = "freq not specified and cannot be inferred"
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with pytest.raises(ValueError, match=msg):
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PeriodIndex(idx.asi8)
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with pytest.raises(ValueError, match=msg):
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PeriodIndex(list(idx.asi8))
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msg = "'Period' object is not iterable"
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with pytest.raises(TypeError, match=msg):
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PeriodIndex(data=Period("2007", freq="Y"))
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result = PeriodIndex(iter(idx))
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tm.assert_index_equal(result, idx)
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result = PeriodIndex(idx)
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tm.assert_index_equal(result, idx)
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result = PeriodIndex(idx, freq="M")
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tm.assert_index_equal(result, idx)
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result = PeriodIndex(idx, freq=offsets.MonthEnd())
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tm.assert_index_equal(result, idx)
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assert result.freq == "ME"
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result = PeriodIndex(idx, freq="2M")
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tm.assert_index_equal(result, idx.asfreq("2M"))
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assert result.freq == "2ME"
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result = PeriodIndex(idx, freq=offsets.MonthEnd(2))
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tm.assert_index_equal(result, idx.asfreq("2M"))
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assert result.freq == "2ME"
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result = PeriodIndex(idx, freq="D")
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exp = idx.asfreq("D", "e")
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tm.assert_index_equal(result, exp)
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def test_constructor_datetime64arr(self):
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vals = np.arange(100000, 100000 + 10000, 100, dtype=np.int64)
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vals = vals.view(np.dtype("M8[us]"))
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pi = PeriodIndex(vals, freq="D")
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expected = PeriodIndex(vals.astype("M8[ns]"), freq="D")
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tm.assert_index_equal(pi, expected)
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@pytest.mark.parametrize("box", [None, "series", "index"])
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def test_constructor_datetime64arr_ok(self, box):
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# https://github.com/pandas-dev/pandas/issues/23438
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data = date_range("2017", periods=4, freq="ME")
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if box is None:
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data = data._values
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elif box == "series":
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data = Series(data)
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result = PeriodIndex(data, freq="D")
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expected = PeriodIndex(
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["2017-01-31", "2017-02-28", "2017-03-31", "2017-04-30"], freq="D"
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)
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tm.assert_index_equal(result, expected)
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def test_constructor_dtype(self):
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# passing a dtype with a tz should localize
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idx = PeriodIndex(["2013-01", "2013-03"], dtype="period[M]")
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exp = PeriodIndex(["2013-01", "2013-03"], freq="M")
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tm.assert_index_equal(idx, exp)
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assert idx.dtype == "period[M]"
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idx = PeriodIndex(["2013-01-05", "2013-03-05"], dtype="period[3D]")
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exp = PeriodIndex(["2013-01-05", "2013-03-05"], freq="3D")
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tm.assert_index_equal(idx, exp)
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assert idx.dtype == "period[3D]"
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# if we already have a freq and its not the same, then asfreq
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# (not changed)
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idx = PeriodIndex(["2013-01-01", "2013-01-02"], freq="D")
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res = PeriodIndex(idx, dtype="period[M]")
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exp = PeriodIndex(["2013-01", "2013-01"], freq="M")
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tm.assert_index_equal(res, exp)
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assert res.dtype == "period[M]"
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res = PeriodIndex(idx, freq="M")
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tm.assert_index_equal(res, exp)
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assert res.dtype == "period[M]"
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msg = "specified freq and dtype are different"
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with pytest.raises(IncompatibleFrequency, match=msg):
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PeriodIndex(["2011-01"], freq="M", dtype="period[D]")
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def test_constructor_empty(self):
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idx = PeriodIndex([], freq="M")
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assert isinstance(idx, PeriodIndex)
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assert len(idx) == 0
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assert idx.freq == "ME"
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with pytest.raises(ValueError, match="freq not specified"):
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PeriodIndex([])
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def test_constructor_pi_nat(self):
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idx = PeriodIndex(
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[Period("2011-01", freq="M"), NaT, Period("2011-01", freq="M")]
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)
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exp = PeriodIndex(["2011-01", "NaT", "2011-01"], freq="M")
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tm.assert_index_equal(idx, exp)
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idx = PeriodIndex(
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np.array([Period("2011-01", freq="M"), NaT, Period("2011-01", freq="M")])
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)
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tm.assert_index_equal(idx, exp)
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idx = PeriodIndex(
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[NaT, NaT, Period("2011-01", freq="M"), Period("2011-01", freq="M")]
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)
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exp = PeriodIndex(["NaT", "NaT", "2011-01", "2011-01"], freq="M")
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tm.assert_index_equal(idx, exp)
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idx = PeriodIndex(
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np.array(
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[NaT, NaT, Period("2011-01", freq="M"), Period("2011-01", freq="M")]
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)
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)
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tm.assert_index_equal(idx, exp)
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idx = PeriodIndex([NaT, NaT, "2011-01", "2011-01"], freq="M")
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tm.assert_index_equal(idx, exp)
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with pytest.raises(ValueError, match="freq not specified"):
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PeriodIndex([NaT, NaT])
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with pytest.raises(ValueError, match="freq not specified"):
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PeriodIndex(np.array([NaT, NaT]))
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with pytest.raises(ValueError, match="freq not specified"):
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PeriodIndex(["NaT", "NaT"])
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with pytest.raises(ValueError, match="freq not specified"):
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PeriodIndex(np.array(["NaT", "NaT"]))
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def test_constructor_incompat_freq(self):
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msg = "Input has different freq=D from PeriodIndex\\(freq=M\\)"
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with pytest.raises(IncompatibleFrequency, match=msg):
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PeriodIndex([Period("2011-01", freq="M"), NaT, Period("2011-01", freq="D")])
|
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with pytest.raises(IncompatibleFrequency, match=msg):
|
PeriodIndex(
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np.array(
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[Period("2011-01", freq="M"), NaT, Period("2011-01", freq="D")]
|
)
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)
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# first element is NaT
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with pytest.raises(IncompatibleFrequency, match=msg):
|
PeriodIndex([NaT, Period("2011-01", freq="M"), Period("2011-01", freq="D")])
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
PeriodIndex(
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np.array(
|
[NaT, Period("2011-01", freq="M"), Period("2011-01", freq="D")]
|
)
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)
|
|
def test_constructor_mixed(self):
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idx = PeriodIndex(["2011-01", NaT, Period("2011-01", freq="M")])
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exp = PeriodIndex(["2011-01", "NaT", "2011-01"], freq="M")
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tm.assert_index_equal(idx, exp)
|
|
idx = PeriodIndex(["NaT", NaT, Period("2011-01", freq="M")])
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exp = PeriodIndex(["NaT", "NaT", "2011-01"], freq="M")
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tm.assert_index_equal(idx, exp)
|
|
idx = PeriodIndex([Period("2011-01-01", freq="D"), NaT, "2012-01-01"])
|
exp = PeriodIndex(["2011-01-01", "NaT", "2012-01-01"], freq="D")
|
tm.assert_index_equal(idx, exp)
|
|
@pytest.mark.parametrize("floats", [[1.1, 2.1], np.array([1.1, 2.1])])
|
def test_constructor_floats(self, floats):
|
msg = "PeriodIndex does not allow floating point in construction"
|
with pytest.raises(TypeError, match=msg):
|
PeriodIndex(floats)
|
|
def test_constructor_year_and_quarter(self):
|
year = Series([2001, 2002, 2003])
|
quarter = year - 2000
|
msg = "Constructing PeriodIndex from fields is deprecated"
|
with tm.assert_produces_warning(FutureWarning, match=msg):
|
idx = PeriodIndex(year=year, quarter=quarter)
|
strs = [f"{t[0]:d}Q{t[1]:d}" for t in zip(quarter, year)]
|
lops = list(map(Period, strs))
|
p = PeriodIndex(lops)
|
tm.assert_index_equal(p, idx)
|
|
def test_constructor_freq_mult(self):
|
# GH #7811
|
pidx = period_range(start="2014-01", freq="2M", periods=4)
|
expected = PeriodIndex(["2014-01", "2014-03", "2014-05", "2014-07"], freq="2M")
|
tm.assert_index_equal(pidx, expected)
|
|
pidx = period_range(start="2014-01-02", end="2014-01-15", freq="3D")
|
expected = PeriodIndex(
|
["2014-01-02", "2014-01-05", "2014-01-08", "2014-01-11", "2014-01-14"],
|
freq="3D",
|
)
|
tm.assert_index_equal(pidx, expected)
|
|
pidx = period_range(end="2014-01-01 17:00", freq="4h", periods=3)
|
expected = PeriodIndex(
|
["2014-01-01 09:00", "2014-01-01 13:00", "2014-01-01 17:00"], freq="4h"
|
)
|
tm.assert_index_equal(pidx, expected)
|
|
msg = "Frequency must be positive, because it represents span: -1M"
|
with pytest.raises(ValueError, match=msg):
|
PeriodIndex(["2011-01"], freq="-1M")
|
|
msg = "Frequency must be positive, because it represents span: 0M"
|
with pytest.raises(ValueError, match=msg):
|
PeriodIndex(["2011-01"], freq="0M")
|
|
msg = "Frequency must be positive, because it represents span: 0M"
|
with pytest.raises(ValueError, match=msg):
|
period_range("2011-01", periods=3, freq="0M")
|
|
@pytest.mark.parametrize(
|
"freq_offset, freq_period",
|
[
|
("YE", "Y"),
|
("ME", "M"),
|
("D", "D"),
|
("min", "min"),
|
("s", "s"),
|
],
|
)
|
@pytest.mark.parametrize("mult", [1, 2, 3, 4, 5])
|
def test_constructor_freq_mult_dti_compat(self, mult, freq_offset, freq_period):
|
freqstr_offset = str(mult) + freq_offset
|
freqstr_period = str(mult) + freq_period
|
pidx = period_range(start="2014-04-01", freq=freqstr_period, periods=10)
|
expected = date_range(
|
start="2014-04-01", freq=freqstr_offset, periods=10
|
).to_period(freqstr_period)
|
tm.assert_index_equal(pidx, expected)
|
|
@pytest.mark.parametrize("mult", [1, 2, 3, 4, 5])
|
def test_constructor_freq_mult_dti_compat_month(self, mult):
|
pidx = period_range(start="2014-04-01", freq=f"{mult}M", periods=10)
|
expected = date_range(
|
start="2014-04-01", freq=f"{mult}ME", periods=10
|
).to_period(f"{mult}M")
|
tm.assert_index_equal(pidx, expected)
|
|
def test_constructor_freq_combined(self):
|
for freq in ["1D1h", "1h1D"]:
|
pidx = PeriodIndex(["2016-01-01", "2016-01-02"], freq=freq)
|
expected = PeriodIndex(["2016-01-01 00:00", "2016-01-02 00:00"], freq="25h")
|
for freq in ["1D1h", "1h1D"]:
|
pidx = period_range(start="2016-01-01", periods=2, freq=freq)
|
expected = PeriodIndex(["2016-01-01 00:00", "2016-01-02 01:00"], freq="25h")
|
tm.assert_index_equal(pidx, expected)
|
|
def test_period_range_length(self):
|
pi = period_range(freq="Y", start="1/1/2001", end="12/1/2009")
|
assert len(pi) == 9
|
|
pi = period_range(freq="Q", start="1/1/2001", end="12/1/2009")
|
assert len(pi) == 4 * 9
|
|
pi = period_range(freq="M", start="1/1/2001", end="12/1/2009")
|
assert len(pi) == 12 * 9
|
|
pi = period_range(freq="D", start="1/1/2001", end="12/31/2009")
|
assert len(pi) == 365 * 9 + 2
|
|
msg = "Period with BDay freq is deprecated"
|
with tm.assert_produces_warning(FutureWarning, match=msg):
|
pi = period_range(freq="B", start="1/1/2001", end="12/31/2009")
|
assert len(pi) == 261 * 9
|
|
pi = period_range(freq="h", start="1/1/2001", end="12/31/2001 23:00")
|
assert len(pi) == 365 * 24
|
|
pi = period_range(freq="Min", start="1/1/2001", end="1/1/2001 23:59")
|
assert len(pi) == 24 * 60
|
|
pi = period_range(freq="s", start="1/1/2001", end="1/1/2001 23:59:59")
|
assert len(pi) == 24 * 60 * 60
|
|
with tm.assert_produces_warning(FutureWarning, match=msg):
|
start = Period("02-Apr-2005", "B")
|
i1 = period_range(start=start, periods=20)
|
assert len(i1) == 20
|
assert i1.freq == start.freq
|
assert i1[0] == start
|
|
end_intv = Period("2006-12-31", "W")
|
i1 = period_range(end=end_intv, periods=10)
|
assert len(i1) == 10
|
assert i1.freq == end_intv.freq
|
assert i1[-1] == end_intv
|
|
msg = "'w' is deprecated and will be removed in a future version."
|
with tm.assert_produces_warning(FutureWarning, match=msg):
|
end_intv = Period("2006-12-31", "1w")
|
i2 = period_range(end=end_intv, periods=10)
|
assert len(i1) == len(i2)
|
assert (i1 == i2).all()
|
assert i1.freq == i2.freq
|
|
def test_infer_freq_from_first_element(self):
|
msg = "Period with BDay freq is deprecated"
|
with tm.assert_produces_warning(FutureWarning, match=msg):
|
start = Period("02-Apr-2005", "B")
|
end_intv = Period("2005-05-01", "B")
|
period_range(start=start, end=end_intv)
|
|
# infer freq from first element
|
i2 = PeriodIndex([end_intv, Period("2005-05-05", "B")])
|
assert len(i2) == 2
|
assert i2[0] == end_intv
|
|
with tm.assert_produces_warning(FutureWarning, match=msg):
|
i2 = PeriodIndex(np.array([end_intv, Period("2005-05-05", "B")]))
|
assert len(i2) == 2
|
assert i2[0] == end_intv
|
|
def test_mixed_freq_raises(self):
|
# Mixed freq should fail
|
msg = "Period with BDay freq is deprecated"
|
with tm.assert_produces_warning(FutureWarning, match=msg):
|
end_intv = Period("2005-05-01", "B")
|
|
msg = "'w' is deprecated and will be removed in a future version."
|
with tm.assert_produces_warning(FutureWarning, match=msg):
|
vals = [end_intv, Period("2006-12-31", "w")]
|
msg = r"Input has different freq=W-SUN from PeriodIndex\(freq=B\)"
|
depr_msg = r"PeriodDtype\[B\] is deprecated"
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
|
PeriodIndex(vals)
|
vals = np.array(vals)
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
|
PeriodIndex(vals)
|
|
@pytest.mark.parametrize(
|
"freq", ["M", "Q", "Y", "D", "B", "min", "s", "ms", "us", "ns", "h"]
|
)
|
@pytest.mark.filterwarnings(
|
r"ignore:Period with BDay freq is deprecated:FutureWarning"
|
)
|
@pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
|
def test_recreate_from_data(self, freq):
|
org = period_range(start="2001/04/01", freq=freq, periods=1)
|
idx = PeriodIndex(org.values, freq=freq)
|
tm.assert_index_equal(idx, org)
|
|
def test_map_with_string_constructor(self):
|
raw = [2005, 2007, 2009]
|
index = PeriodIndex(raw, freq="Y")
|
|
expected = Index([str(num) for num in raw])
|
res = index.map(str)
|
|
# should return an Index
|
assert isinstance(res, Index)
|
|
# preserve element types
|
assert all(isinstance(resi, str) for resi in res)
|
|
# lastly, values should compare equal
|
tm.assert_index_equal(res, expected)
|
|
|
class TestSimpleNew:
|
def test_constructor_simple_new(self):
|
idx = period_range("2007-01", name="p", periods=2, freq="M")
|
|
with pytest.raises(AssertionError, match="<class .*PeriodIndex'>"):
|
idx._simple_new(idx, name="p")
|
|
result = idx._simple_new(idx._data, name="p")
|
tm.assert_index_equal(result, idx)
|
|
msg = "Should be numpy array of type i8"
|
with pytest.raises(AssertionError, match=msg):
|
# Need ndarray, not int64 Index
|
type(idx._data)._simple_new(Index(idx.asi8), dtype=idx.dtype)
|
|
arr = type(idx._data)._simple_new(idx.asi8, dtype=idx.dtype)
|
result = idx._simple_new(arr, name="p")
|
tm.assert_index_equal(result, idx)
|
|
def test_constructor_simple_new_empty(self):
|
# GH13079
|
idx = PeriodIndex([], freq="M", name="p")
|
with pytest.raises(AssertionError, match="<class .*PeriodIndex'>"):
|
idx._simple_new(idx, name="p")
|
|
result = idx._simple_new(idx._data, name="p")
|
tm.assert_index_equal(result, idx)
|
|
@pytest.mark.parametrize("floats", [[1.1, 2.1], np.array([1.1, 2.1])])
|
def test_period_index_simple_new_disallows_floats(self, floats):
|
with pytest.raises(AssertionError, match="<class "):
|
PeriodIndex._simple_new(floats)
|
|
|
class TestShallowCopy:
|
def test_shallow_copy_empty(self):
|
# GH#13067
|
idx = PeriodIndex([], freq="M")
|
result = idx._view()
|
expected = idx
|
|
tm.assert_index_equal(result, expected)
|
|
def test_shallow_copy_disallow_i8(self):
|
# GH#24391
|
pi = period_range("2018-01-01", periods=3, freq="2D")
|
with pytest.raises(AssertionError, match="ndarray"):
|
pi._shallow_copy(pi.asi8)
|
|
def test_shallow_copy_requires_disallow_period_index(self):
|
pi = period_range("2018-01-01", periods=3, freq="2D")
|
with pytest.raises(AssertionError, match="PeriodIndex"):
|
pi._shallow_copy(pi)
|
|
|
class TestSeriesPeriod:
|
def test_constructor_cant_cast_period(self):
|
msg = "Cannot cast PeriodIndex to dtype float64"
|
with pytest.raises(TypeError, match=msg):
|
Series(period_range("2000-01-01", periods=10, freq="D"), dtype=float)
|
|
def test_constructor_cast_object(self):
|
pi = period_range("1/1/2000", periods=10)
|
ser = Series(pi, dtype=PeriodDtype("D"))
|
exp = Series(pi)
|
tm.assert_series_equal(ser, exp)
|
