--- id: 5e9a093a74c4063ca6f7c15b title: Pandas Conditional Selection and Modifying DataFrames challengeType: 11 videoId: BFlH0fN5xRQ dashedName: pandas-conditional-selection-and-modifying-dataframes --- # --description-- *Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.* More resources: - [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas) - [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb) # --question-- ## --text-- What will the following code print out? ```py import pandas as pd certificates_earned = pd.DataFrame({ 'Certificates': [8, 2, 5, 6], 'Time (in months)': [16, 5, 9, 12] }) names = ['Tom', 'Kris', 'Ahmad', 'Beau'] certificates_earned.index = names longest_streak = pd.Series([13, 11, 9, 7], index=names) certificates_earned['Longest streak'] = longest_streak print(certificates_earned) ``` ## --answers--
Tom      13
Kris     11
Ahmad     9
Beau      7
Name: Longest streak, dtype: int64
---
      Certificates  Time (in months)  Longest streak
Tom               8                16              13
Kris              2                 5              11
Ahmad             5                 9               9
Beau              6                12               7
---
      Certificates   Longest streak
Tom               8               13
Kris              2               11
Ahmad             5                9
Beau              6                7
## --video-solution-- 2