I have this dataset:
df = pd.DataFrame({'Name':['John', 'Rachel', 'Adam','Joe'],
'Age':[95, 102, 31,np.nan],
'Scores':[np.nan, [80, 82, 78], [25, 20, 30, 60, 21],np.nan]
})
I would like to sort values inside column 'scores'.
Desired output:
Name Age Scores
John 95.0 NaN
Rachel 102.0 [78,80,82]
Adam 31.0 [20,21,25,30,60]
Joe NaN NaN
I have tried the solutions from this answer, as well as the code
df.sort_values(by=["Scores"], na_position="first")
but result wasn not the deisred one.
Drop the null values then map
with sorted
df['Scores'] = df['Scores'].dropna().map(sorted)
Name Age Scores
0 John 95.0 NaN
1 Rachel 102.0 [78, 80, 82]
2 Adam 31.0 [20, 21, 25, 30, 60]
3 Joe NaN NaN