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_join.py

58 lines
1.8 KiB

import numpy as np
import pytest
from pandas._libs.tslibs import IncompatibleFrequency
from pandas import (
Index,
PeriodIndex,
period_range,
)
import pandas._testing as tm
class TestJoin:
def test_join_outer_indexer(self):
pi = period_range("1/1/2000", "1/20/2000", freq="D")
result = pi._outer_indexer(pi)
tm.assert_extension_array_equal(result[0], pi._values)
tm.assert_numpy_array_equal(result[1], np.arange(len(pi), dtype=np.intp))
tm.assert_numpy_array_equal(result[2], np.arange(len(pi), dtype=np.intp))
def test_joins(self, join_type):
index = period_range("1/1/2000", "1/20/2000", freq="D")
joined = index.join(index[:-5], how=join_type)
assert isinstance(joined, PeriodIndex)
assert joined.freq == index.freq
def test_join_self(self, join_type):
index = period_range("1/1/2000", "1/20/2000", freq="D")
res = index.join(index, how=join_type)
assert index is res
def test_join_does_not_recur(self):
df = tm.makeCustomDataframe(
3,
2,
data_gen_f=lambda *args: np.random.randint(2),
c_idx_type="p",
r_idx_type="dt",
)
ser = df.iloc[:2, 0]
res = ser.index.join(df.columns, how="outer")
expected = Index(
[ser.index[0], ser.index[1], df.columns[0], df.columns[1]], object
)
tm.assert_index_equal(res, expected)
def test_join_mismatched_freq_raises(self):
index = period_range("1/1/2000", "1/20/2000", freq="D")
index3 = period_range("1/1/2000", "1/20/2000", freq="2D")
msg = r".*Input has different freq=2D from Period\(freq=D\)"
with pytest.raises(IncompatibleFrequency, match=msg):
index.join(index3)