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.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
InfoLeaseExtract/venv/Lib/site-packages/pandas/tests/io/excel/conftest.py

67 lines
1.4 KiB

import pytest
from pandas.compat import is_platform_windows
import pandas.util._test_decorators as td
import pandas._testing as tm
from pandas.io.parsers import read_csv
@pytest.fixture
def frame(float_frame):
"""
Returns the first ten items in fixture "float_frame".
"""
return float_frame[:10]
@pytest.fixture
def tsframe():
return tm.makeTimeDataFrame()[:5]
@pytest.fixture(params=[True, False])
def merge_cells(request):
return request.param
@pytest.fixture
def df_ref(datapath):
"""
Obtain the reference data from read_csv with the Python engine.
"""
filepath = datapath("io", "data", "csv", "test1.csv")
df_ref = read_csv(filepath, index_col=0, parse_dates=True, engine="python")
return df_ref
@pytest.fixture(params=[".xls", ".xlsx", ".xlsm", ".ods", ".xlsb"])
def read_ext(request):
"""
Valid extensions for reading Excel files.
"""
return request.param
# Checking for file leaks can hang on Windows CI
@pytest.fixture(autouse=not is_platform_windows())
def check_for_file_leaks():
"""
Fixture to run around every test to ensure that we are not leaking files.
See also
--------
_test_decorators.check_file_leaks
"""
# GH#30162
psutil = td.safe_import("psutil")
if not psutil:
yield
else:
proc = psutil.Process()
flist = proc.open_files()
yield
flist2 = proc.open_files()
assert flist == flist2