123456789101112131415161718192021222324252627282930313233343536373839404142434445464748 |
- 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
- """
- @pytest.mark.parametrize(
- "freq, base_date",
- [
- ("W-THU", "1970-01-01"),
- ("D", "1970-01-01"),
- ("B", "1970-01-01"),
- ("H", "1970-01-01"),
- ("T", "1970-01-01"),
- ("S", "1970-01-01"),
- ("L", "1970-01-01"),
- ("U", "1970-01-01"),
- ("N", "1970-01-01"),
- ("M", "1970-01"),
- ("A", 1970),
- ],
- )
- def test_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)
- 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)
|