import
numpy
as
np
import
pandas
as
pd df
=
pd.DataFrame(np.random.randint(
0
,
100
,
100
), columns
=
[
'score'
])
# 以所在区间作为标签。如 x=5，返回：'[0-10]'
def
make_label(x, step
=
10
):
m
=
x
//
step
return
'[{}-{}]'
.
format
(m
*
step, (m
+1
)
*
step)
#df['level'] = df['score'].map(make_label)
df[
'level'
]
=
df[
'score'
].
map
(
lambda
x:make_label(x,step
=
10
))
# 改变区间长度为15
res
=
df.groupby(
'level'
).size()
print
(df.head())
print(res)
本文转自罗兵博客园博客，原文链接：http://www.cnblogs.com/hhh5460/p/5817452.html，如需转载请自行联系原作者
