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---
id: 5e9a093a74c4063ca6f7c15a
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title: I DataFrame di Panda
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challengeType: 11
videoId: 7SgFBYXaiH0
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bilibiliIds:
aid: 890503235
bvid: BV1TP4y1h7qq
cid: 409014039
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dashedName: pandas-dataframes
---
# --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.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--
< pre >
Tom 16
Kris 5
Ahmad 9
Beau 12
Name: Time (in months), dtype: int64
< / pre >
---
< pre >
Certificates 6
Time (in months) 12
Name: Beau, dtype: int64
< / pre >
---
< pre >
Certificates 5
Time (in months) 9
Name: Ahmad, dtype: int64
< / pre >
## --video-solution--
3