ee1e8abd87
* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
716 B
716 B
id, challengeType, videoId, dashedName
| id | challengeType | videoId | dashedName |
|---|---|---|---|
| 5e9a0a8e09c5df3cc3600eda | 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