ee1e8abd87
* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
40 lines
1.0 KiB
Markdown
40 lines
1.0 KiB
Markdown
---
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id: 5e9a093a74c4063ca6f7c15f
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title: Data Cleaning Duplicates
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challengeType: 11
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videoId: kj7QqjXhH6A
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dashedName: data-cleaning-duplicates
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---
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# --description--
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*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
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More resources:
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
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- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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# --question--
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## --text--
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The Python method `.duplicated()` returns a boolean Series for your DataFrame. `True` is the return value for rows that:
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## --answers--
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contain a duplicate, where the value for the row contains the first occurrence of that value.
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---
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contain a duplicate, where the value for the row is at least the second occurrence of that value.
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---
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contain a duplicate, where the value for the row contains either the first or second occurrence.
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## --video-solution--
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2
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