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/indexes/datetimes/test_join.py

152 lines
4.7 KiB

from datetime import datetime
import numpy as np
import pytest
from pandas import (
DatetimeIndex,
Index,
Timestamp,
date_range,
to_datetime,
)
import pandas._testing as tm
from pandas.tseries.offsets import (
BDay,
BMonthEnd,
)
class TestJoin:
def test_does_not_convert_mixed_integer(self):
df = tm.makeCustomDataframe(
10,
10,
data_gen_f=lambda *args, **kwargs: np.random.randn(),
r_idx_type="i",
c_idx_type="dt",
)
cols = df.columns.join(df.index, how="outer")
joined = cols.join(df.columns)
assert cols.dtype == np.dtype("O")
assert cols.dtype == joined.dtype
tm.assert_numpy_array_equal(cols.values, joined.values)
def test_join_self(self, join_type):
index = date_range("1/1/2000", periods=10)
joined = index.join(index, how=join_type)
assert index is joined
def test_join_with_period_index(self, join_type):
df = tm.makeCustomDataframe(
10,
10,
data_gen_f=lambda *args: np.random.randint(2),
c_idx_type="p",
r_idx_type="dt",
)
s = df.iloc[:5, 0]
expected = df.columns.astype("O").join(s.index, how=join_type)
result = df.columns.join(s.index, how=join_type)
tm.assert_index_equal(expected, result)
def test_join_object_index(self):
rng = date_range("1/1/2000", periods=10)
idx = Index(["a", "b", "c", "d"])
result = rng.join(idx, how="outer")
assert isinstance(result[0], Timestamp)
def test_join_utc_convert(self, join_type):
rng = date_range("1/1/2011", periods=100, freq="H", tz="utc")
left = rng.tz_convert("US/Eastern")
right = rng.tz_convert("Europe/Berlin")
result = left.join(left[:-5], how=join_type)
assert isinstance(result, DatetimeIndex)
assert result.tz == left.tz
result = left.join(right[:-5], how=join_type)
assert isinstance(result, DatetimeIndex)
assert result.tz.zone == "UTC"
def test_datetimeindex_union_join_empty(self, sort):
dti = date_range(start="1/1/2001", end="2/1/2001", freq="D")
empty = Index([])
result = dti.union(empty, sort=sort)
expected = dti.astype("O")
tm.assert_index_equal(result, expected)
result = dti.join(empty)
assert isinstance(result, DatetimeIndex)
tm.assert_index_equal(result, dti)
def test_join_nonunique(self):
idx1 = to_datetime(["2012-11-06 16:00:11.477563", "2012-11-06 16:00:11.477563"])
idx2 = to_datetime(["2012-11-06 15:11:09.006507", "2012-11-06 15:11:09.006507"])
rs = idx1.join(idx2, how="outer")
assert rs.is_monotonic
@pytest.mark.parametrize("freq", ["B", "C"])
def test_outer_join(self, freq):
# should just behave as union
start, end = datetime(2009, 1, 1), datetime(2010, 1, 1)
rng = date_range(start=start, end=end, freq=freq)
# overlapping
left = rng[:10]
right = rng[5:10]
the_join = left.join(right, how="outer")
assert isinstance(the_join, DatetimeIndex)
# non-overlapping, gap in middle
left = rng[:5]
right = rng[10:]
the_join = left.join(right, how="outer")
assert isinstance(the_join, DatetimeIndex)
assert the_join.freq is None
# non-overlapping, no gap
left = rng[:5]
right = rng[5:10]
the_join = left.join(right, how="outer")
assert isinstance(the_join, DatetimeIndex)
# overlapping, but different offset
other = date_range(start, end, freq=BMonthEnd())
the_join = rng.join(other, how="outer")
assert isinstance(the_join, DatetimeIndex)
assert the_join.freq is None
def test_naive_aware_conflicts(self):
start, end = datetime(2009, 1, 1), datetime(2010, 1, 1)
naive = date_range(start, end, freq=BDay(), tz=None)
aware = date_range(start, end, freq=BDay(), tz="Asia/Hong_Kong")
msg = "tz-naive.*tz-aware"
with pytest.raises(TypeError, match=msg):
naive.join(aware)
with pytest.raises(TypeError, match=msg):
aware.join(naive)
@pytest.mark.parametrize("tz", [None, "US/Pacific"])
def test_join_preserves_freq(self, tz):
# GH#32157
dti = date_range("2016-01-01", periods=10, tz=tz)
result = dti[:5].join(dti[5:], how="outer")
assert result.freq == dti.freq
tm.assert_index_equal(result, dti)
result = dti[:5].join(dti[6:], how="outer")
assert result.freq is None
expected = dti.delete(5)
tm.assert_index_equal(result, expected)