Given a pandas Series that represents frequencies of a value, how can I turn those frequencies into percentages?

I was experimenting with the kaggle.com Titanic data set (data on every person on the Titanic) and came up with a gender breakdown like this:

df = pd.DataFrame({'sex': ['male'] * 577 + ['female'] * 314})
gender = df.sex.value_counts()
gender

male   577
female 314 

I would like to find out the percentage of each gender on the Titanic.

My approach is slightly less than ideal:

from __future__ import division
pcts = gender / gender.sum()
pcts

male      0.647587
female    0.352413

Is there a better (more idiomatic) way?