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/groupby/test_bin_groupby.py

69 lines
1.8 KiB

import numpy as np
import pytest
from pandas._libs import lib
import pandas.util._test_decorators as td
import pandas as pd
import pandas._testing as tm
def assert_block_lengths(x):
assert len(x) == len(x._mgr.blocks[0].mgr_locs)
return 0
def cumsum_max(x):
x.cumsum().max()
return 0
@pytest.mark.parametrize(
"func",
[
cumsum_max,
pytest.param(assert_block_lengths, marks=td.skip_array_manager_invalid_test),
],
)
def test_mgr_locs_updated(func):
# https://github.com/pandas-dev/pandas/issues/31802
# Some operations may require creating new blocks, which requires
# valid mgr_locs
df = pd.DataFrame({"A": ["a", "a", "a"], "B": ["a", "b", "b"], "C": [1, 1, 1]})
result = df.groupby(["A", "B"]).agg(func)
expected = pd.DataFrame(
{"C": [0, 0]},
index=pd.MultiIndex.from_product([["a"], ["a", "b"]], names=["A", "B"]),
)
tm.assert_frame_equal(result, expected)
@pytest.mark.parametrize(
"binner,closed,expected",
[
(
np.array([0, 3, 6, 9], dtype=np.int64),
"left",
np.array([2, 5, 6], dtype=np.int64),
),
(
np.array([0, 3, 6, 9], dtype=np.int64),
"right",
np.array([3, 6, 6], dtype=np.int64),
),
(np.array([0, 3, 6], dtype=np.int64), "left", np.array([2, 5], dtype=np.int64)),
(
np.array([0, 3, 6], dtype=np.int64),
"right",
np.array([3, 6], dtype=np.int64),
),
],
)
def test_generate_bins(binner, closed, expected):
values = np.array([1, 2, 3, 4, 5, 6], dtype=np.int64)
result = lib.generate_bins_dt64(values, binner, closed=closed)
tm.assert_numpy_array_equal(result, expected)
class TestMoments:
pass