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id, title, challengeType, videoId, bilibiliIds, dashedName
| id | title | challengeType | videoId | bilibiliIds | dashedName | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 5e9a093a74c4063ca6f7c15f | Data Cleaning Duplicates | 11 | kj7QqjXhH6A |
|
data-cleaning-duplicates |
--description--
Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.
More resources:
--questions--
--text--
The Python method .duplicated() returns a boolean Series for your DataFrame. True is the return value for rows that:
--answers--
contain a duplicate, where the value for the row contains the first occurrence of that value.
contain a duplicate, where the value for the row is at least the second occurrence of that value.
contain a duplicate, where the value for the row contains either the first or second occurrence.
--video-solution--
2