Dataframe-With-Radom-Data
Sat 17 May 2025
title: "DataFrame With Random Data" author: "Rj" date: 2019-04-24 description: "-" type: technical_note draft: false
import numpy as np
import pandas as pd
import random
def xrange(x):
return iter(range(x))
rnd_1 = [random.randrange(1, 20) for x in xrange(10)]
rnd_1
[16, 3, 18, 19, 1, 13, 17, 3, 4, 3]
rnd_2 = [random.randrange(1, 20) for x in xrange(10)]
rnd_2
[12, 9, 14, 5, 16, 14, 11, 11, 12, 10]
date = pd.date_range('2018-01-01', '2018-01-10')
data = pd.DataFrame({
'date' : date,
'rnd_1' : rnd_1,
'rnd_2' : rnd_2
})
data
| date | rnd_1 | rnd_2 | |
|---|---|---|---|
| 0 | 2018-01-01 | 16 | 12 |
| 1 | 2018-01-02 | 3 | 9 |
| 2 | 2018-01-03 | 18 | 14 |
| 3 | 2018-01-04 | 19 | 5 |
| 4 | 2018-01-05 | 1 | 16 |
| 5 | 2018-01-06 | 13 | 14 |
| 6 | 2018-01-07 | 17 | 11 |
| 7 | 2018-01-08 | 3 | 11 |
| 8 | 2018-01-09 | 4 | 12 |
| 9 | 2018-01-10 | 3 | 10 |
Score: 10
Category: data-wrangling