from itertools import groupby
lst= [
2648, 2648, 2648, 63370, 63370, 425, 425, 120,
120, 217, 217, 189, 189, 128, 128, 115, 115, 197,
19752, 152, 152, 275, 275, 1716, 1716, 131, 131,
98, 98, 138, 138, 277, 277, 849, 302, 152, 1571,
68, 68, 102, 102, 92, 92, 146, 146, 155, 155,
9181, 9181, 474, 449, 98, 98, 59, 59, 295, 101, 5
]
for k, g in groupby(sorted(lst), key=lambda x: x//50):
print('{}-{}: {}'.format(k*50, (k+1)*50-1, len(list(g))))
####################################
lst2=[]
fh = open('./aa3.txt')
for line in fh.readlines():
lst2.append(float(line) *1)
len2 = len(lst2)
v_step=0.02
for k, g in groupby(sorted(lst2), key=lambda x: x//v_step):
print('{}-{}: {}'.format(k*v_step, (k+1)*v_step, len(list(g)))))
=========================函数实现
#
data 数组
# total_sec_num 欲分几段
#v_step 切分单位
def get_section(data,total_sec_num, v_step = 0.005):
out =[]
var_total =100
left_sec_num =total_sec_num
each_sect_var = var_total/left_sec_num
len_total = len(data)
sect_var = 0
mink = 0;
maxk = 0;
for k, g in groupby(sorted(lst2), key=lambda x: x//v_step):
maxk = (k+1)*v_step;
tmp = float(100*len(list(g)))
sect_var += np.round(tmp/len_total,5)
if sect_var >each_sect_var and left_sec_num>ZERO_FLOAT :
o={}
o['mink'] = np.round(mink,3)
o['maxk'] = np.round(maxk,3)
o['var'] = np.round(sect_var,3)
out.append(o)
var_total -= sect_var
left_sec_num -= 1
if left_sec_num > ZERO_FLOAT: #next
each_sect_var = var_total/left_sec_num
sect_var = 0
mink = maxk;
print left_sec_num, sect_var,mink,maxk
if sect_var> ZERO_FLOAT:
o={}
o['mink'] = np.round(mink,3)
o['maxk'] = 1
o['var'] = np.round(sect_var,3)
out.append(o)
return out
t = 0
o = get_section(lst2,5,0.0005)
