--- id: 5e9a093a74c4063ca6f7c15b title: Selezione condizionale con Panda e modifica dei DataFrame challengeType: 11 videoId: BFlH0fN5xRQ bilibiliIds: aid: 505598518 bvid: BV1vg411c72y cid: 409113534 dashedName: pandas-conditional-selection-and-modifying-dataframes --- # --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 verrĂ visualizzato nella console con il seguente codice? ```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