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Pandas Indexing and Conditional Selection

curriculum/challenges/english/blocks/data-analysis-with-python-course/5e9a093a74c4063ca6f7c159.md

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--description--

Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.

More resources:

  • <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas" target="_blank" rel="noopener noreferrer nofollow">Notebooks on GitHub</a>
  • <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer nofollow">How to open Notebooks from GitHub using Google Colab.</a>

--questions--

--text--

What will the following code print out?

py
import pandas as pd

certificates_earned = pd.Series(
    [8, 2, 5, 6],
    index=['Tom', 'Kris', 'Ahmad', 'Beau']
)

print(certificates_earned[certificates_earned > 5])

--answers--

<pre> Tom True Kris False Ahmad False Beau True dtype: int64 </pre>
<pre> Tom 8 Ahmad 5 Beau 6 dtype: int64 </pre>
<pre> Tom 8 Beau 6 dtype: int64 </pre>

--video-solution--

3