Distribución de intervalo de datos estadísticos

Genera datos aleatorios

data=np.random.randint(1,1000,500)#生成500个1-1000内的整数数据

incomeranges = pd.cut(data,25)#将数据分为25份

#分份的区间可以自定义
incomeranges = pd.cut(data,[0,100,300,500,700,1000])

pd.value_counts(incomeranges)
Out[10]: 
(700, 1000]    140
(300, 500]     122
(100, 300]     111
(500, 700]      83
(0, 100]        44
dtype: int64

Estadística de la distribución de datos en cada intervalo:

pd.value_counts(incomeranges)

(279.88, 319.72]    32
(319.72, 359.56]    29
(240.04, 279.88]    26
(439.24, 479.08]    26
(399.4, 439.24]     25
(797.8, 837.64]     22
(200.2, 240.04]     22
(359.56, 399.4]     21
(40.84, 80.68]      21
(837.64, 877.48]    21
(757.96, 797.8]     21
(678.28, 718.12]    21
(120.52, 160.36]    20
(479.08, 518.92]    19
(598.6, 638.44]     19
(957.16, 997.0]     18
(917.32, 957.16]    17
(160.36, 200.2]     17
(80.68, 120.52]     17
(638.44, 678.28]    16
(518.92, 558.76]    15
(718.12, 757.96]    15
(558.76, 598.6]     14
(877.48, 917.32]    13
(0.004, 40.84]      13
dtype: int64