a38922536c
* added languages to prismjs * added language to code fences for python for everybody * multiline pre to python for everybody questions * multiline pre for data analysis with python * multiline pre in numpy questions * single line pre for python for everybody * single line pre for data analysis with python * single line pre for numpy * Revert "multiline pre in numpy questions" This reverts commitaf1a02cdd3. * fix unneded escaping commit suggestions from code review Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com> * Revert "single line pre for numpy" This reverts commit5f90981108. * revert changes to snippet that have a language * one last code fence to pre * Revert "fix unneded escaping " This reverts commit64c84a9213. * Revert "single line pre for data analysis with python" This reverts commit3bccaff753. * Revert "single line pre for python for everybody" This reverts commit03a5379062. * remove unnecessary escape Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>
57 lines
763 B
Markdown
57 lines
763 B
Markdown
---
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id: 5e9a0a8e09c5df3cc3600eda
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title: Loading Data and Advanced Indexing
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challengeType: 11
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videoId: tUdBZ7pF8Jg
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dashedName: loading-data-and-advanced-indexing
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---
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# --question--
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## --text--
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Given a file named `data.txt` with these contents:
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<pre>
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29,97,32,100,45
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15,88,5,75,22
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</pre>
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What code would produce the following array?
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```py
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[29. 32. 45. 15. 5. 22.]
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```
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## --answers--
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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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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 = 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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