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/datetimes/test_pickle.py

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1.3 KiB

import pytest
from pandas import (
NaT,
date_range,
to_datetime,
)
import pandas._testing as tm
class TestPickle:
def test_pickle(self):
# GH#4606
idx = to_datetime(["2013-01-01", NaT, "2014-01-06"])
idx_p = tm.round_trip_pickle(idx)
assert idx_p[0] == idx[0]
assert idx_p[1] is NaT
assert idx_p[2] == idx[2]
def test_pickle_dont_infer_freq(self):
# GH#11002
# don't infer freq
idx = date_range("1750-1-1", "2050-1-1", freq="7D")
idx_p = tm.round_trip_pickle(idx)
tm.assert_index_equal(idx, idx_p)
def test_pickle_after_set_freq(self):
dti = date_range("20130101", periods=3, tz="US/Eastern", name="foo")
dti = dti._with_freq(None)
res = tm.round_trip_pickle(dti)
tm.assert_index_equal(res, dti)
def test_roundtrip_pickle_with_tz(self):
# GH#8367
# round-trip of timezone
index = date_range("20130101", periods=3, tz="US/Eastern", name="foo")
unpickled = tm.round_trip_pickle(index)
tm.assert_index_equal(index, unpickled)
@pytest.mark.parametrize("freq", ["B", "C"])
def test_pickle_unpickle(self, freq):
rng = date_range("2009-01-01", "2010-01-01", freq=freq)
unpickled = tm.round_trip_pickle(rng)
assert unpickled.freq == freq