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Bump pandas from 1.3.1 to 1.3.3 #818

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@dependabot dependabot bot commented on behalf of github Sep 16, 2021

Bumps pandas from 1.3.1 to 1.3.3.

Release notes

Sourced from pandas's releases.

Pandas 1.3.3

This is a patch release in the 1.3.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Pandas 1.3.2

This is a patch release in the 1.3.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

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Bumps [pandas](https://github.com/pandas-dev/pandas) from 1.3.1 to 1.3.3.
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Changelog](https://github.com/pandas-dev/pandas/blob/master/RELEASE.md)
- [Commits](pandas-dev/pandas@v1.3.1...v1.3.3)

---
updated-dependencies:
- dependency-name: pandas
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot requested a review from a team as a code owner September 16, 2021 21:13
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Sep 16, 2021
@dependabot dependabot bot requested a review from jsnel September 16, 2021 21:13
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sonarcloud bot commented Sep 16, 2021

Kudos, SonarCloud Quality Gate passed!    Quality Gate passed

Bug A 0 Bugs
Vulnerability A 0 Vulnerabilities
Security Hotspot A 0 Security Hotspots
Code Smell A 0 Code Smells

No Coverage information No Coverage information
No Duplication information No Duplication information

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Binder 👈 Launch a binder notebook on branch glotaran/pyglotaran/dependabot/pip/pandas-1.3.3

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codecov bot commented Sep 16, 2021

Codecov Report

Merging #818 (d9c0e02) into main (2f1afe7) will not change coverage.
The diff coverage is n/a.

Impacted file tree graph

@@          Coverage Diff          @@
##            main    #818   +/-   ##
=====================================
  Coverage   84.7%   84.7%           
=====================================
  Files         77      77           
  Lines       4343    4343           
  Branches     785     785           
=====================================
  Hits        3682    3682           
  Misses       521     521           
  Partials     140     140           

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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Benchmark is done. Checkout the benchmark result page.
Benchmark differences below 5% might be due to CI noise.

Benchmark diff

Parametrized benchmark signatures:

BenchmarkOptimize.time_optimize(index_dependent, grouped, weight)

All benchmarks:

       before           after         ratio
     [dc00e6da]       [d9c0e02e]
     <v0.4.0>                   
-      48.3±0.9ms       36.0±0.4ms     0.74  BenchmarkOptimize.time_optimize(False, False, False)
-         267±2ms        43.0±30ms     0.16  BenchmarkOptimize.time_optimize(False, False, True)
-        69.9±1ms       60.5±0.4ms     0.87  BenchmarkOptimize.time_optimize(False, True, False)
       73.3±0.6ms         64.1±1ms    ~0.88  BenchmarkOptimize.time_optimize(False, True, True)
         48.4±1ms       46.5±0.8ms     0.96  BenchmarkOptimize.time_optimize(True, False, False)
-         271±2ms        91.4±60ms     0.34  BenchmarkOptimize.time_optimize(True, False, True)
       70.4±0.4ms         71.3±1ms     1.01  BenchmarkOptimize.time_optimize(True, True, False)
         72.2±1ms        82.4±20ms    ~1.14  BenchmarkOptimize.time_optimize(True, True, True)
             180M             181M     1.01  IntegrationTwoDatasets.peakmem_create_result
             195M             200M     1.02  IntegrationTwoDatasets.peakmem_optimize
-       226±0.8ms          182±2ms     0.81  IntegrationTwoDatasets.time_create_result
-      4.82±0.01s        1.66±0.1s     0.34  IntegrationTwoDatasets.time_optimize

@dependabot @github
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dependabot bot commented on behalf of github Oct 22, 2021

Superseded by #880.

@dependabot dependabot bot closed this Oct 22, 2021
@dependabot dependabot bot deleted the dependabot/pip/pandas-1.3.3 branch October 22, 2021 16:01
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