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.
66 lines
1.7 KiB
66 lines
1.7 KiB
6 months ago
|
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)
|