import datetime
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import numpy as np
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import pytest
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from pandas import (
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DataFrame,
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Series,
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_testing as tm,
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)
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from pandas.tests.io.pytables.common import ensure_clean_store
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pytestmark = pytest.mark.single_cpu
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def test_store_datetime_fractional_secs(setup_path):
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with ensure_clean_store(setup_path) as store:
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dt = datetime.datetime(2012, 1, 2, 3, 4, 5, 123456)
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series = Series([0], [dt])
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store["a"] = series
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assert store["a"].index[0] == dt
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def test_tseries_indices_series(setup_path):
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with ensure_clean_store(setup_path) as store:
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idx = tm.makeDateIndex(10)
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ser = Series(np.random.randn(len(idx)), idx)
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store["a"] = ser
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result = store["a"]
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tm.assert_series_equal(result, ser)
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assert result.index.freq == ser.index.freq
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tm.assert_class_equal(result.index, ser.index, obj="series index")
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idx = tm.makePeriodIndex(10)
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ser = Series(np.random.randn(len(idx)), idx)
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store["a"] = ser
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result = store["a"]
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tm.assert_series_equal(result, ser)
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assert result.index.freq == ser.index.freq
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tm.assert_class_equal(result.index, ser.index, obj="series index")
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def test_tseries_indices_frame(setup_path):
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with ensure_clean_store(setup_path) as store:
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idx = tm.makeDateIndex(10)
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df = DataFrame(np.random.randn(len(idx), 3), index=idx)
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store["a"] = df
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result = store["a"]
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tm.assert_frame_equal(result, df)
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assert result.index.freq == df.index.freq
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tm.assert_class_equal(result.index, df.index, obj="dataframe index")
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idx = tm.makePeriodIndex(10)
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df = DataFrame(np.random.randn(len(idx), 3), idx)
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store["a"] = df
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result = store["a"]
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tm.assert_frame_equal(result, df)
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assert result.index.freq == df.index.freq
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tm.assert_class_equal(result.index, df.index, obj="dataframe index")
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