import pytest
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import pandas as pd
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import pandas._testing as tm
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tables = pytest.importorskip("tables")
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@pytest.fixture
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def pytables_hdf5_file(tmp_path):
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"""
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Use PyTables to create a simple HDF5 file.
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"""
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table_schema = {
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"c0": tables.Time64Col(pos=0),
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"c1": tables.StringCol(5, pos=1),
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"c2": tables.Int64Col(pos=2),
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}
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t0 = 1_561_105_000.0
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testsamples = [
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{"c0": t0, "c1": "aaaaa", "c2": 1},
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{"c0": t0 + 1, "c1": "bbbbb", "c2": 2},
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{"c0": t0 + 2, "c1": "ccccc", "c2": 10**5},
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{"c0": t0 + 3, "c1": "ddddd", "c2": 4_294_967_295},
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]
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objname = "pandas_test_timeseries"
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path = tmp_path / "written_with_pytables.h5"
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with tables.open_file(path, mode="w") as f:
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t = f.create_table("/", name=objname, description=table_schema)
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for sample in testsamples:
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for key, value in sample.items():
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t.row[key] = value
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t.row.append()
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yield path, objname, pd.DataFrame(testsamples)
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class TestReadPyTablesHDF5:
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"""
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A group of tests which covers reading HDF5 files written by plain PyTables
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(not written by pandas).
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Was introduced for regression-testing issue 11188.
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"""
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def test_read_complete(self, pytables_hdf5_file):
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path, objname, df = pytables_hdf5_file
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result = pd.read_hdf(path, key=objname)
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expected = df
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tm.assert_frame_equal(result, expected, check_index_type=True)
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def test_read_with_start(self, pytables_hdf5_file):
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path, objname, df = pytables_hdf5_file
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# This is a regression test for pandas-dev/pandas/issues/11188
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result = pd.read_hdf(path, key=objname, start=1)
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expected = df[1:].reset_index(drop=True)
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tm.assert_frame_equal(result, expected, check_index_type=True)
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def test_read_with_stop(self, pytables_hdf5_file):
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path, objname, df = pytables_hdf5_file
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# This is a regression test for pandas-dev/pandas/issues/11188
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result = pd.read_hdf(path, key=objname, stop=1)
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expected = df[:1].reset_index(drop=True)
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tm.assert_frame_equal(result, expected, check_index_type=True)
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def test_read_with_startstop(self, pytables_hdf5_file):
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path, objname, df = pytables_hdf5_file
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# This is a regression test for pandas-dev/pandas/issues/11188
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result = pd.read_hdf(path, key=objname, start=1, stop=2)
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expected = df[1:2].reset_index(drop=True)
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tm.assert_frame_equal(result, expected, check_index_type=True)
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