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>
763 B
763 B
id, title, challengeType, videoId, dashedName
| id | title | challengeType | videoId | dashedName |
|---|---|---|---|---|
| 5e9a0a8e09c5df3cc3600eda | Loading Data and Advanced Indexing | 11 | tUdBZ7pF8Jg | loading-data-and-advanced-indexing |
--question--
--text--
Given a file named data.txt with these contents:
29,97,32,100,45 15,88,5,75,22
What code would produce the following array?
[29. 32. 45. 15. 5. 22.]
--answers--
filedata = np.genfromtxt('data.txt', delimiter=',')
output = np.any(filedata < 50)
print(output)
filedata = np.genfromtxt('data.txt', delimiter=',')
output = np.all(filedata < 50, axis=1)
print(output)
filedata = np.genfromtxt('data.txt', delimiter=',')
output = filedata[filedata < 50]
print(output)
--video-solution--
3