Missing numbers DS python

Question

Where is the problem with this solution?

import numpy as np
import pandas as pd

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

n = pd.DataFrame(lst)

n.fillna(round(n.mean(), 1), inplace = True)

print(n[0])

Answer 1

I am not sure, if this is the exact problem (did not run your code), but I used a pd.Series instead of a pd.DataFrame (the output layout slightly diverges)
https://www.sololearn.com/discuss/2630791/?ref=app

Answer 2

The trick is turning the output into a string. Below worked for me.

import numpy as np
import pandas as pd

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

df = pd.DataFrame(lst)
df = df.fillna(df.mean().round(1))

print(df[0].to_string())
print('dtype: '+str(df[0].dtypes))

Answer 3

import numpy as np
import pandas as pd
lst = [float(x) if x != 'nan' else np.NaN for x in input().split()]
ps = pd.Series(lst)
ps = ps.fillna(ps.mean())
print(ps.round(1))