How lst = [float(x) if x != 'nan' else np.NaN for x in input().split()] works

Question

Hello, i wanna ask about something
I wanna know how this code works, it actually has been used for lots of question in datascience project in sololearn
lst = [float(x) if x != 'nan' else np.NaN for x in input().split()]
One of the full code example down here :.
Import numpy as np
Import pandas as pd
lst = [float(x) if x != 'nan' else np.NaN for x in input().split()]
lst_df = pd.Series(lst)
Sylv = lst_df.fillna(lst_df.mean()).round(1)
print(Sylv)

Answer 1

lst = [float(x) if x != 'nan' else np.NaN for x in input().split()]
Its generator
And equal this:
lst =[]
For x in input().split():
if x =! 'nan':
lst.append(float(x))
else:
lst.append(np.NaN)

Answer 2

list comprehension:
https://www.sololearn.com/learning/2454/
cant post a link that works so look for it in python tutorial

Answer 3

input().split() its splitted into list input from user (by spaces in default)

Answer 4

if on input u have "2 1 3 nan" on output u will have [2.0, 1.0, 3.0, NaN]

Answer 5

Илья Мирошник Thank you xD, it helps lot