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Alex Rivera
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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?
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