看来您正在使用Pandas库。它们包括执行此操作的功能：http : //pandas.pydata.org/pandas- docs/version/0.16.0/genic/pandas.cut.html
这是我的尝试：
import pandas as pd
ages = pd.DataFrame([81, 42, 18, 55, 23, 35], columns=['age'])
bins = [18, 30, 40, 50, 60, 70, 120]
labels = ['18-29', '30-39', '40-49', '50-59', '60-69', '70+']
ages['agerange'] = pd.cut(ages.age, bins, labels = labels,include_lowest = True)
print(ages)
age agerange
0 81 70+
1 42 40-49
2 18 18-29
3 55 50-59
4 23 18-29
5 35 30-39
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