Pandas drop all cells with Values and leave only blank cells

Question

I want to do the following:

index	A1
0	1
1
2	-8
3	Hello
4

to:

index	A1
1
4

Is there like a reverse .dropna function?

Answer 1

Assuming real NaNs:

out = df[df['A1'].isna()]

If empty strings:

out = df[df['A1'].eq('')]

For both:

out = df[df['A1'].fillna('').eq('')]