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