--- id: 5e9a093a74c4063ca6f7c15a title: Pandas DataFrames challengeType: 11 videoId: 7SgFBYXaiH0 bilibiliIds: aid: 890503235 bvid: BV1TP4y1h7qq cid: 409014039 dashedName: pandas-dataframes --- # --description-- *在視頻中我們使用的編輯器工具是在 notebook.ai 這個平臺,你也可以選擇用其他的平臺,比如說 Google Colab 也是一個不錯的選擇。* 以下有更多的資料: - [在 GitHub 平臺的 Notebooks](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas) - [如何使用 Google Colab 來打開 GitHub 上的 Notebooks](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb) # --question-- ## --text-- 以下代碼會打印出什麼? ```py import pandas as pd certificates_earned = pd.DataFrame({ 'Certificates': [8, 2, 5, 6], 'Time (in months)': [16, 5, 9, 12] }) certificates_earned.index = ['Tom', 'Kris', 'Ahmad', 'Beau'] print(certificates_earned.iloc[2]) ``` ## --answers--
Tom 16 Kris 5 Ahmad 9 Beau 12 Name: Time (in months), dtype: int64---
Certificates 6 Time (in months) 12 Name: Beau, dtype: int64---
Certificates 5 Time (in months) 9 Name: Ahmad, dtype: int64## --video-solution-- 3