8000 DEPR: Timestamp.freq by jbrockmendel · Pull Request #33832 · pandas-dev/pandas · GitHub
[go: up one dir, main page]
Skip to content

DEPR: Timestamp.freq #33832

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

Closed
wants to merge 6 commits into from
Closed

DEPR: Timestamp.freq #33832

Changes from 1 commit
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
76acec3
DEPR: Timestamp.freq
jbrockmendel Apr 27, 2020
c4ca3b9
GH ref
jbrockmendel Apr 27, 2020
6e14084
suppress warnings
jbrockmendel Apr 28, 2020
cd481e6
fix broken test
jbrockmendel Apr 28, 2020
f7feb56
Merge branch 'master' of https://github.com/pandas-dev/pandas into de…
jbrockmendel Apr 28, 2020
6807c62
silence warnings in conftest
jbrockmendel Apr 28, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
8000
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
fix broken test
  • Loading branch information
@jbrockmendel
jbrockmendel committed Apr 28, 2020
commit cd481e63e08bbe8d85b8fa41f5e1033439c379a8
9 changes: 8 additions & 1 deletion pandas/tests/series/test_timeseries.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
import warnings

import numpy as np
import pytest

Expand Down Expand Up @@ -115,7 +117,12 @@ def test_asarray_object_dt64(self, tz):

with tm.assert_produces_warning(None):
# Future behavior (for tzaware case) with no warning
result = np.asarray(ser, dtype=object)
with warnings.catch_warnings():
# Passing freq to Timestamp constructor
warnings.simplefilter("ignore", FutureWarning)
# FIXME: this makes the assert_produces_warning(None) toothless

result = np.asarray(ser, dtype=object)

expected = np.array(
[pd.Timestamp("2000-01-01", tz=tz), pd.Timestamp("2000-01-02", tz=tz)]
Expand Down
0