MACHINELEARNING_INTERVIEW Telegram 1731
Что выведет следующий код на Python (модуль statistics)?


import statistics as stats
import math

data = [1, 2, 2, float('nan'), 3, 4]

print("Mean:", stats.mean(data))
print("Median:", stats.median(data))
print("Mode:", stats.mode(data))


🔢 Варианты ответа:

A)

Median: 2.5
Mode: 2


B)

Median: 2.5
Mode: 2


C)ValueError: nan is not a valid number


D)

Median: nan
Mode: 2


Правильный ответ: C

💡 Почему?
- Модуль
statistics не умеет работать с NaN.
-
stats.mean() и stats.median() вызовут StatisticsError или ValueError.
- В отличие от
numpy.nanmean, здесь всё падает.
📌 Подвох — в
float('nan') в списке.
👍14🔥42



tgoop.com/machinelearning_interview/1731
Create:
Last Update:

Что выведет следующий код на Python (модуль statistics)?


import statistics as stats
import math

data = [1, 2, 2, float('nan'), 3, 4]

print("Mean:", stats.mean(data))
print("Median:", stats.median(data))
print("Mode:", stats.mode(data))


🔢 Варианты ответа:

A)

Median: 2.5
Mode: 2


B)

Median: 2.5
Mode: 2


C)ValueError: nan is not a valid number


D)

Median: nan
Mode: 2


Правильный ответ: C

💡 Почему?
- Модуль
statistics не умеет работать с NaN.
-
stats.mean() и stats.median() вызовут StatisticsError или ValueError.
- В отличие от
numpy.nanmean, здесь всё падает.
📌 Подвох — в
float('nan') в списке.

BY Machine learning Interview


Share with your friend now:
tgoop.com/machinelearning_interview/1731

View MORE
Open in Telegram


Telegram News

Date: |

How to Create a Private or Public Channel on Telegram? In the “Bear Market Screaming Therapy Group” on Telegram, members are only allowed to post voice notes of themselves screaming. Anything else will result in an instant ban from the group, which currently has about 75 members. Members can post their voice notes of themselves screaming. Interestingly, the group doesn’t allow to post anything else which might lead to an instant ban. As of now, there are more than 330 members in the group. bank east asia october 20 kowloon Find your optimal posting schedule and stick to it. The peak posting times include 8 am, 6 pm, and 8 pm on social media. Try to publish serious stuff in the morning and leave less demanding content later in the day.
from us


Telegram Machine learning Interview
FROM American