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How lst = [float(x) if x != 'nan' else np.NaN for x in input().split()] works
dataScience
phyton
1 Vote
5 Answers
9th Apr 2021, 8:39 AM
Sylvanast
y_true = [int(x) for x in input().split()] y_pred = [int(x) for x in input().split()] import numpy as np y_true=np.array(y_t
don't
i
know
0 Votes
2 Answers
9th Aug 2022, 4:39 PM
Agnesh Vinciya
what is the solution n, p = [int(x) for x in input().split()]
-
average
data
of
rows
science
-1 Vote
4 Answers
11th Nov 2021, 8:38 AM
Zaid Zren
Data Science - Average of Rows
[int(x)
=
for
in
input().split()]
n
p
x
-1 Vote
1 Answer
11th Nov 2021, 8:35 AM
Zaid Zren
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