2020-08-13 10:00:20 +00:00
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---
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id: 5e9a0a8e09c5df3cc3600eda
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2021-07-03 14:37:10 +00:00
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title: 加载数据和高级索引
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2020-08-13 10:00:20 +00:00
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challengeType: 11
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videoId: tUdBZ7pF8Jg
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2021-01-13 02:31:00 +00:00
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dashedName: loading-data-and-advanced-indexing
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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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# --question--
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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## --text--
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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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给定一个名为 `data.txt` 的文件,其中包含以下内容:
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2020-08-13 10:00:20 +00:00
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2021-02-06 04:42:36 +00:00
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<pre>
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2020-12-16 07:37:30 +00:00
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29,97,32,100,45
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15,88,5,75,22
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2021-02-06 04:42:36 +00:00
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</pre>
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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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哪段代码会生成下面的数组?
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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```py
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[29. 32. 45. 15. 5. 22.]
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```
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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## --answers--
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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```py
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filedata = np.genfromtxt('data.txt', delimiter=',')
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output = np.any(filedata < 50)
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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print(output)
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```
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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---
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```py
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filedata = np.genfromtxt('data.txt', delimiter=',')
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output = np.all(filedata < 50, axis=1)
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print(output)
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```
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---
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```py
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filedata = np.genfromtxt('data.txt', delimiter=',')
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output = filedata[filedata < 50]
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print(output)
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```
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## --video-solution--
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3
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