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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?
>Solution :
Assuming real NaNs:
out = df[df['A1'].isna()]
If empty strings:
out = df[df['A1'].eq('')]
For both:
out = df[df['A1'].fillna('').eq('')]