import numpy
import pandas
data = pandas.read_csv(
'D:\\PDA\\5.3\\data.csv'
)
aggResult = data.groupby(
by=['年龄']
)['年龄'].agg({
'人数': numpy.size
})
data.年龄.hist()
bins = [
min(data.年龄)-1, 20, 30, 40, max(data.年龄)+1
]
labels = [
'20岁以及以下', '21岁到30岁', '31岁到40岁', '41岁以上'
]
data['年龄分层'] = pandas.cut(
data.年龄,
bins,
labels=labels
)
pAggResult = round(
aggResult/aggResult.sum(),
2
)*100
pAggResult['人数'].map('{:,.2f}%'.format)
