A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/pandas/tests/io/pytables/test_subclass.py

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1.4 KiB

import numpy as np
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
from pandas.tests.io.pytables.common import ensure_clean_path
from pandas.io.pytables import (
HDFStore,
read_hdf,
)
class TestHDFStoreSubclass:
# GH 33748
def test_supported_for_subclass_dataframe(self):
data = {"a": [1, 2], "b": [3, 4]}
sdf = tm.SubclassedDataFrame(data, dtype=np.intp)
expected = DataFrame(data, dtype=np.intp)
with ensure_clean_path("temp.h5") as path:
sdf.to_hdf(path, "df")
result = read_hdf(path, "df")
tm.assert_frame_equal(result, expected)
with ensure_clean_path("temp.h5") as path:
with HDFStore(path) as store:
store.put("df", sdf)
result = read_hdf(path, "df")
tm.assert_frame_equal(result, expected)
def test_supported_for_subclass_series(self):
data = [1, 2, 3]
sser = tm.SubclassedSeries(data, dtype=np.intp)
expected = Series(data, dtype=np.intp)
with ensure_clean_path("temp.h5") as path:
sser.to_hdf(path, "ser")
result = read_hdf(path, "ser")
tm.assert_series_equal(result, expected)
with ensure_clean_path("temp.h5") as path:
with HDFStore(path) as store:
store.put("ser", sser)
result = read_hdf(path, "ser")
tm.assert_series_equal(result, expected)