生成 2 到 40 之间的随机数，均值为 20 作为 Pandas 中的一列 [英] generate a random number between 2 and 40 with mean 20 as a column in pandas
问题描述
我有一个如下所示的数据框
I have a data frame as shown below
session slot_num appt_time
s1 1 2020-01-06 09:00:00
s1 2 2020-01-06 09:20:00
s1 3 2020-01-06 09:40:00
s1 3 2020-01-06 09:40:00
s1 4 2020-01-06 10:00:00
s1 4 2020-01-06 10:00:00
s2 1 2020-01-06 08:20:00
s2 2 2020-01-06 08:40:00
s2 2 2020-01-06 08:40:00
s2 3 2020-01-06 09:00:00
s2 4 2020-01-06 09:20:00
s2 5 2020-01-06 09:40:00
s2 5 2020-01-06 09:40:00
s2 6 2020-01-06 10:00:00
s3 1 2020-01-09 13:00:00
s3 1 2020-01-09 13:00:00
s3 2 2020-01-09 13:20:00
s3 3 2020-01-09 13:40:00
在上面我想添加一个名为 service_time 的列.
In the above I would like to add a column called service_time.
service_time 应包含 2 到 40 之间的任何随机数字，每个会话的平均值为 20.
service_time should contain any random digits between 2 to 40 with mean 20 for each session.
我更喜欢随机数应该遵循随机正态分布，均值为 20，标准差为 10，最小值为 2，最大值为 40
I prefer random numbers should follow random normal distribution with mean 20, standard deviation 10, minimum 2 and maximum 40
预期输出:
session slot_num appt_time service_time
s1 1 2020-01-06 09:00:00 30
s1 2 2020-01-06 09:20:00 10
s1 3 2020-01-06 09:40:00 15
s1 3 2020-01-06 09:40:00 35
s1 4 2020-01-06 10:00:00 20
s1 4 2020-01-06 10:00:00 10
s2 1 2020-01-06 08:20:00 15
s2 2 2020-01-06 08:40:00 20
s2 2 2020-01-06 08:40:00 25
s2 3 2020-01-06 09:00:00 30
s2 4 2020-01-06 09:20:00 20
s2 5 2020-01-06 09:40:00 8
s2 5 2020-01-06 09:40:00 40
s2 6 2020-01-06 10:00:00 2
s3 1 2020-01-09 13:00:00 4
s3 1 2020-01-09 13:00:00 32
s3 2 2020-01-09 13:20:00 26
s3 3 2020-01-09 13:40:00 18
注意:请注意，这是遵循上述最小值、最大值和平均值标准的随机组合之一.
Note : please note that this is the one of that random combination which follows the minimum, maximum and mean criteria mentioned above.
推荐答案
一种可能的带有 cutom 功能的解决方案:
One possible solution with cutom function:
#https://stackoverflow.com/a/39435600/2901002
def gen_avg(n, expected_avg=20, a=2, b=40):
while True:
l = np.random.randint(a, b, size=n)
avg = np.mean(l)
if avg == expected_avg:
return l
df['service_time'] = df.groupby('session')['session'].transform(lambda x: gen_avg(len(x)))
print (df)
session slot_num appt_time service_time
0 s1 1 2020-01-06 09:00:00 31
1 s1 2 2020-01-06 09:20:00 9
2 s1 3 2020-01-06 09:40:00 23
3 s1 3 2020-01-06 09:40:00 37
4 s1 4 2020-01-06 10:00:00 6
5 s1 4 2020-01-06 10:00:00 14
6 s2 1 2020-01-06 08:20:00 33
7 s2 2 2020-01-06 08:40:00 29
8 s2 2 2020-01-06 08:40:00 18
9 s2 3 2020-01-06 09:00:00 32
10 s2 4 2020-01-06 09:20:00 9
11 s2 5 2020-01-06 09:40:00 26
12 s2 5 2020-01-06 09:40:00 10
13 s2 6 2020-01-06 10:00:00 3
14 s3 1 2020-01-09 13:00:00 19
15 s3 1 2020-01-09 13:00:00 22
16 s3 2 2020-01-09 13:20:00 5
17 s3 3 2020-01-09 13:40:00 34
这篇关于生成 2 到 40 之间的随机数，均值为 20 作为 Pandas 中的一列的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
