2020-08-13 12:00:20 +02:00
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---
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id: 5e9a093a74c4063ca6f7c15b
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2021-07-15 13:04:11 +05:30
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title: Pandas 条件选择和 DataFrames 的修改
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2020-08-13 12:00:20 +02:00
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challengeType: 11
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videoId: BFlH0fN5xRQ
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2021-10-03 12:24:27 -07:00
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bilibiliIds:
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aid: 505598518
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bvid: BV1vg411c72y
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cid: 409113534
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2021-01-13 03:31:00 +01:00
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dashedName: pandas-conditional-selection-and-modifying-dataframes
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2020-08-13 12:00:20 +02:00
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---
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2020-12-16 00:37:30 -07:00
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# --description--
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2020-08-13 12:00:20 +02:00
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2021-07-15 13:04:11 +05:30
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*在视频中我们使用的编辑器工具是在 notebook.ai 这个平台,你也可以选择用其他的平台,比如说 Google Colab 也是一个不错的选择。*
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2021-02-06 04:42:36 +00:00
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2021-07-15 13:04:11 +05:30
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以下有更多的资料:
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2020-12-16 00:37:30 -07:00
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2021-07-15 13:04:11 +05:30
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- [在 GitHub 平台的 Notebooks](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
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- [如何使用 Google Colab 来打开 GitHub 上的 Notebooks](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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2020-12-16 00:37:30 -07:00
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# --question--
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## --text--
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2021-07-15 13:04:11 +05:30
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以下代码会打印出什么?
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2020-12-16 00:37:30 -07:00
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```py
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import pandas as pd
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certificates_earned = pd.DataFrame({
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'Certificates': [8, 2, 5, 6],
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'Time (in months)': [16, 5, 9, 12]
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})
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names = ['Tom', 'Kris', 'Ahmad', 'Beau']
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certificates_earned.index = names
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longest_streak = pd.Series([13, 11, 9, 7], index=names)
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certificates_earned['Longest streak'] = longest_streak
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print(certificates_earned)
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```
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## --answers--
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2021-02-06 04:42:36 +00:00
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<pre>
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Tom 13
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Kris 11
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Ahmad 9
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Beau 7
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Name: Longest streak, dtype: int64
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2021-02-06 04:42:36 +00:00
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</pre>
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---
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2021-02-06 04:42:36 +00:00
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<pre>
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Certificates Time (in months) Longest streak
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Tom 8 16 13
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Kris 2 5 11
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Ahmad 5 9 9
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Beau 6 12 7
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</pre>
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---
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2021-02-06 04:42:36 +00:00
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<pre>
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Certificates Longest streak
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Tom 8 13
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Kris 2 11
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Ahmad 5 9
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Beau 6 7
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2021-02-06 04:42:36 +00:00
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</pre>
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## --video-solution--
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2
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