import pandas as pd
import numpy as np
# dataframe to hold the list of values
df = pd.DataFrame({'FrSeg': [33, 66, 26, 5, 16, 31, 34, 10, 17, 40]})
# set the rank ranges
ranges = [0, 10, 20, 68]
# pandas.cut:
# returns indices of half-open bins to which each value of 'FrSeg' belongs.
print df.groupby(pd.cut(df['FrSeg'], ranges)).count()
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输出:
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