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/indexes/period/test_tools.py

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import numpy as np
import pytest
from pandas import (
Period,
PeriodIndex,
period_range,
)
import pandas._testing as tm
class TestPeriodRepresentation:
"""
Wish to match NumPy units
"""
def _check_freq(self, freq, base_date):
rng = period_range(start=base_date, periods=10, freq=freq)
exp = np.arange(10, dtype=np.int64)
tm.assert_numpy_array_equal(rng.asi8, exp)
def test_annual(self):
self._check_freq("A", 1970)
def test_monthly(self):
self._check_freq("M", "1970-01")
@pytest.mark.parametrize("freq", ["W-THU", "D", "B", "H", "T", "S", "L", "U", "N"])
def test_freq(self, freq):
self._check_freq(freq, "1970-01-01")
class TestPeriodIndexConversion:
def test_tolist(self):
index = period_range(freq="A", start="1/1/2001", end="12/1/2009")
rs = index.tolist()
for x in rs:
assert isinstance(x, Period)
recon = PeriodIndex(rs)
tm.assert_index_equal(index, recon)