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/excel/test_odf.py

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1.1 KiB

import functools
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
pytest.importorskip("odf")
@pytest.fixture(autouse=True)
def cd_and_set_engine(monkeypatch, datapath):
func = functools.partial(pd.read_excel, engine="odf")
monkeypatch.setattr(pd, "read_excel", func)
monkeypatch.chdir(datapath("io", "data", "excel"))
def test_read_invalid_types_raises():
# the invalid_value_type.ods required manually editing
# of the included content.xml file
with pytest.raises(ValueError, match="Unrecognized type awesome_new_type"):
pd.read_excel("invalid_value_type.ods")
def test_read_writer_table():
# Also test reading tables from an text OpenDocument file
# (.odt)
index = pd.Index(["Row 1", "Row 2", "Row 3"], name="Header")
expected = pd.DataFrame(
[[1, np.nan, 7], [2, np.nan, 8], [3, np.nan, 9]],
index=index,
columns=["Column 1", "Unnamed: 2", "Column 3"],
)
result = pd.read_excel("writertable.odt", sheet_name="Table1", index_col=0)
tm.assert_frame_equal(result, expected)