Skip to content

TST: Test pd.Grouper base floating point error (#25161) #26240

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 6 commits into from
May 2, 2019
Merged

TST: Test pd.Grouper base floating point error (#25161) #26240

Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
da71a45
TST: Test pd.Grouper base floating point error (#25161)
ihsansecer Apr 29, 2019
f993901
TST: Create a new function for testing grouper base (#25161)
ihsansecer Apr 29, 2019
1c2175d
TST: Clarify the test using literal values (#26240)
ihsansecer Apr 29, 2019
11485fb
TST: Move test to resample/test_datetime_index and rename (#25161)
ihsansecer May 1, 2019
3b6d5f4
TST: Clarify resample float base test (#25161)
ihsansecer May 1, 2019
913dd1c
TST: Test if whole Series is as expected (#25161)
ihsansecer May 2, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 13 additions & 0 deletions pandas/tests/resample/test_datetime_index.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -751,6 +751,19 @@ def test_resample_base():
tm.assert_index_equal(resampled.index, exp_rng)


def test_resample_float_base():
# GH25161
dt = pd.to_datetime(["2018-11-26 16:17:43.51",
"2018-11-26 16:17:44.51",
"2018-11-26 16:17:45.51"])
s = Series(np.arange(3), index=dt)

base = 17 + 43.51 / 60
result = s.resample("3min", base=base).size()
expected = Series(3, index=pd.DatetimeIndex(["2018-11-26 16:17:43.51"]))
assert_series_equal(result, expected)


def test_resample_daily_anchored():
rng = date_range('1/1/2000 0:00:00', periods=10000, freq='T')
ts = Series(np.random.randn(len(rng)), index=rng)
Expand Down