Generate dataframe using Gauss law

Question

I would like to generate a dataframe. In this dataframe, the column "Date" using the timestamp has to be randomly generated. I would like to generate it using the gauss-law. I know the function random.gauss() and I have this code :

from faker import Faker
import pandas as pd
import numpy as np
from datetime import timedelta

fake_parking = [
    {'Licence Plate':fake.license_plate(), 
     'Start_date':fake.date_time_between_dates(datetime_start='-2y', datetime_end='-1d'),
     'Duration':fake.time_delta(end_datetime='+30d')
    } for x in range(10000)]
df = pd.DataFrame(fake_parking)

Here, I generate random date and I would like that these dates are generated featuring the gauss-law

score 0 · Accepted Answer · answered Oct 18 '22 at 12:18

Considering that the dataframe that one wants to generate has three columns:LicensePlate, Start Date and Duration, one can do the following

import pandas as pd
import random 
import datetime as dt
import faker

fake = faker.Faker()
df = pd.DataFrame({
    'LicensePlate': [fake.license_plate() for i in range(100)],
    'Start Date': [dt.datetime.now() + dt.timedelta(seconds=random.gauss(0, 1000)) for i in range(100)],
    'Duration': [dt.timedelta(seconds=random.gauss(0, 1000)) for i in range(100)]
})

[Out]:

   LicensePlate                 Start Date                 Duration
0       XV 5129 2022-10-18 12:59:29.287650   0 days 00:24:58.640538
1      91-60124 2022-10-18 13:21:41.058608 -1 days +23:43:29.201520
2        733TBH 2022-10-18 13:26:30.057752 -1 days +23:43:59.308018
3       955 YJB 2022-10-18 13:48:31.069223   0 days 00:08:14.982752
4       0-82573 2022-10-18 13:00:43.735401   0 days 00:02:33.887666
..          ...                        ...                      ...
95      MHS 812 2022-10-18 13:29:13.169237   0 days 00:12:18.462455
96      D66-19E 2022-10-18 13:22:49.714652 -1 days +23:42:44.846897
97      SGW 257 2022-10-18 13:12:32.425996 -1 days +23:47:04.114940
98      K16-80P 2022-10-18 13:42:09.283379 -1 days +23:39:17.864417
99     28-83111 2022-10-18 13:03:26.028862   0 days 00:03:46.996096

Notes:

One is using faker to generate fake license plates.
To make sure it follows a Normal/Gaussian distribution, one is using random.gauss. One can adjust the mean and standard deviation accordingly.

Generate dataframe using Gauss law

1 Answers1