Deleting rows for a given variable with missing values

Question

I have a dataset with many missing values in Gender.

The path I took, which is probably not the best is first creating a variable with the genders.

Gender = dataset['Gender'].isin(['M', 'F'])

And now merging this series with the dataframe.

dataset1 = pd.DataFrame.merge(dataset, Gender)

This of course, it´s not working.

How can I solve this? Ty

I think you simply need this: dataset.dropna(subset=['Gender'], inplace=True) — Muhammad Hassan
– Muhammad Hassan, Commented Sep 11, 2021 at 9:36

U13-Forward · Accepted Answer · 2021-09-11 09:35:24Z

1

Do you mean by?

dataset.loc[dataset['Gender'].isin(['M', 'F'])]

answered Sep 11, 2021 at 9:35

U13-Forward

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