fix(deps): update dependency pandas to v3 - abandoned#571
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fix(deps): update dependency pandas to v3 - abandoned#571renovate[bot] wants to merge 4 commits intomainfrom
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Address all compatibility issues introduced by the pandas 2.x → 3.0
upgrade:
- Replace DatetimeIndex.view(np.int64) with .as_unit("ns").asi8
across numerical_calculus, utility_functions, reindex, detect/utils,
and signals/generator to ensure nanosecond resolution regardless of
the index's native resolution.
- Replace DatetimeIndex.astype("datetime64[ns]") with .as_unit("ns")
in ts_utils, gaps_identification, and low_density_identification.
- Replace index.to_numpy(np.int64) with .as_unit("ns").asi8 in
completeness.py (find_period returns nanoseconds as documented).
- Replace pd.TimedeltaIndex(..., unit="s") with pd.to_timedelta(...,
unit="s") in arma_predictor and holt_winters_predictor (unit kwarg
removed in pandas 3.0).
- Add .copy() before passing arrays to numba in value_decrease_indication
(pandas 3.0 Copy-on-Write makes .to_numpy() read-only).
- Replace Timestamp.value-based int64 formula in polynomial.py with
(index - index[0]).total_seconds().to_numpy().
- Fix tests: use .iloc instead of .values for mutation (CoW), and
replace Timestamp.value-based time conversion with .total_seconds().
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #571 +/- ##
==========================================
- Coverage 91.09% 91.09% -0.01%
==========================================
Files 111 111
Lines 4201 4199 -2
Branches 552 552
==========================================
- Hits 3827 3825 -2
Misses 231 231
Partials 143 143
🚀 New features to boost your workflow:
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- Replace deprecated freq='H' with 'h' in plot_operational_availability - Use .iloc[locations] = outliers.values instead of integer-array indexing on a DatetimeIndex Series (KeyError in pandas 3.0)
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Autoclosing SkippedThis PR has been flagged for autoclosing. However, it is being skipped due to the branch being already modified. Please close/delete it manually or report a bug if you think this is in error. |
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This PR contains the following updates:
~=2.3.0→~=3.0.1Warning
Some dependencies could not be looked up. Check the Dependency Dashboard for more information.
Release Notes
pandas-dev/pandas (pandas)
v3.0.1: pandas 3.0.1Compare Source
We are pleased to announce the release of pandas 3.0.1.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.
See the full whatsnew for a list of all the changes.
Pandas 3.0.0 supports Python 3.11 and higher.
The release can be installed from PyPI:
Or from conda-forge
Please report any issues with the release on the pandas issue tracker.
Thanks to all the contributors who made this release possible.
v3.0.0: pandas 3.0.0Compare Source
We are pleased to announce the release of pandas 3.0.0, a major release from the pandas 2.x series. This release includes some new features, bug fixes, and performance improvements, as well as possible breaking changes.
The pandas 3.0 release removed a functionality that was deprecated in previous releases. It is recommended to first upgrade to pandas 2.3 and to ensure your code is working without warnings, before upgrading to pandas 3.0.
Highlights include:
pd.colsyntaxSee the full whatsnew for a list of all the changes.
Pandas 3.0.0 supports Python 3.11 and higher.
The release can be installed from PyPI
Or from conda-forge
Please report any issues with the release on the pandas issue tracker.
Thanks to all the contributors who made this release possible.
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