freeCodeCamp/curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/pandas-indexing-and-conditional-selection.md

---
id: 5e9a093a74c4063ca6f7c159
title: Indicizzazione di Pandas e selezione condizionale
challengeType: 11
videoId: '-ZOrgV_aA9A'
bilibiliIds:
  aid: 720604139
  bvid: BV1FQ4y1k7tC
  cid: 409013650
dashedName: pandas-indexing-and-conditional-selection
---

# --description--

*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*

Altre risorse:

-   [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
-   [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)

# --question--

## --text--

Cosa verrà visualizzato nella console con il seguente codice?

```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