2020-08-13 10:00:20 +00:00
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---
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id: 5e9a093a74c4063ca6f7c15d
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2021-07-03 14:37:10 +00:00
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title: 数据清理简介
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2020-08-13 10:00:20 +00:00
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challengeType: 11
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videoId: ovYNhnltVxY
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2021-01-13 02:31:00 +00:00
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dashedName: data-cleaning-introduction
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2020-08-13 10:00:20 +00:00
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---
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2020-12-16 07:37:30 +00:00
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# --description--
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2020-08-13 10:00:20 +00:00
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2021-07-03 14:37:10 +00:00
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*您可以使用 Google Colab,而不是像视频中显示的那样使用 notebooks.ai。*
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2021-02-06 04:42:36 +00:00
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2021-07-03 14:37:10 +00:00
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以下有更多的资料:
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2020-12-16 07:37:30 +00:00
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2021-07-03 14:37:10 +00:00
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- [在 GitHub 平台的 Notebooks](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
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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 07:37:30 +00:00
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# --question--
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## --text--
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2021-07-03 14:37:10 +00:00
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以下代码会打印出什么?
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2020-12-16 07:37:30 +00:00
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```py
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import pandas as pd
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import numpy as np
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s = pd.Series(['a', 3, np.nan, 1, np.nan])
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print(s.notnull().sum())
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```
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## --answers--
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3
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---
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2021-02-06 04:42:36 +00:00
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<pre>0 True
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2020-12-16 07:37:30 +00:00
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1 True
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2 False
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3 True
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4 False
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dtype: bool</pre>
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2020-12-16 07:37:30 +00:00
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---
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2021-02-06 04:42:36 +00:00
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<pre>0 False
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2020-12-16 07:37:30 +00:00
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1 False
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2 True
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3 False
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4 True
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dtype: bool</pre>
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2020-12-16 07:37:30 +00:00
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## --video-solution--
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1
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