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Merged
merged 6 commits into from
Dec 11, 2023
Merged

docs: add example to dataframe.nlargest, dataframe.nsmallest, datafra… #234

merged 6 commits into from
Dec 11, 2023

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@Genesis929 Genesis929 commented Nov 28, 2023 •
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…me.idxmin, dataframe.idxmax

Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly:

  • Make sure to open an issue as a bug/issue before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea
  • Ensure the tests and linter pass
  • Code coverage does not decrease (if any source code was changed)
  • Appropriate docs were updated (if necessary)

dataframe.nlargest: https://screenshot.googleplex.com/AgAMuK8tQcQYNcL and https://screenshot.googleplex.com/FsiegYQVDqgyHXh
dataframe.nsmallest: https://screenshot.googleplex.com/5HWAjuiDCdzGa6M and https://screenshot.googleplex.com/4uRwUPeZbGUuwiM
dataframe.idxmin: https://screenshot.googleplex.com/4mpLSP7uuPamXvd
dataframe.idxmax: https://screenshot.googleplex.com/42Sn4HCKEHXaqo2

Fixes #<issue_number_goes_here> 🦕

@product-auto-label product-auto-label bot added size: m Pull request size is medium. api: bigquery Issues related to the googleapis/python-bigquery-dataframes API. labels Nov 28, 2023
@Genesis929 Genesis929 marked this pull request as ready for review November 28, 2023 20:44
@Genesis929 Genesis929 requested review from a team as code owners November 28, 2023 20:44
@Genesis929 Genesis929 requested a review from ashleyxuu November 28, 2023 20:44
@Genesis929 Genesis929 merged commit e735412 into main Dec 11, 2023
@Genesis929 Genesis929 deleted the huanc-stats-docstring-2 branch December 11, 2023 23:54
@release-please release-please bot mentioned this pull request Dec 11, 2023
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Genesis929 added a commit that referenced this pull request Dec 12, 2023
@Genesis929
docs: add example to dataframe.nlargest, dataframe.nsmallest, datafra… (
09548fc 
#234)

* docs: add example to dataframe.nlargest, dataframe.nsmallest, dataframe.idxmin, dataframe
.idxmax

* update example output
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