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---
id: 5e9a093a74c4063ca6f7c159
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title: Indicizzazione di Pandas e selezione condizionale
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challengeType: 11
videoId: '-ZOrgV_aA9A'
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bilibiliIds:
aid: 720604139
bvid: BV1FQ4y1k7tC
cid: 409013650
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dashedName: pandas-indexing-and-conditional-selection
---
# --description--
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*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
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Altre risorse:
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- [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 )
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# --question--
## --text--
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Cosa verrà visualizzato nella console con il seguente codice?
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```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