• You can check the lab results in the comment section of your Kaggle notebook.

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• Sample title: 2023 lab_0{n}_{studentID1}_{studentID2}_{studentID3}
• The first student ID stands for the leader’s ID.
• 🡪 ex. 2023 lab_01_109022521_109022522_109022523
• *Remember to write the peer assessment at the end of the notebook after finished your work!*

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• Bonus: Copy a notebook from your group’s one, finish the bonus part and submit it individually!
• Sample title: 2023 lab_0{n}_bonus_{studentID}
• 🡪 ex. 2023 lab_01_bonus_109022521

• Hints are helpful: the function we mentioned in the problems may help you to solve the problem in more convenience way.
• Try to read the document and search useful sample codes.

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• Function np.where()
• np.where() with condition argument only --> np.nonzero() with condition.
• returning the indices (array like) that the element satisfies the condition.
• Numpy supports indexing on ndarrays. --> select the element satisfies the condition.

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• Ex.

label = data[“label”]

pts = data[“jet_pt”]

top_idx = np.where(label[0,:] == 1)

top_pt = pts[top_idx]

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