Creating pandas dataframe with datetime index and random values in column

Question

How do I create a pandas dataframe with datetime as index, and random values for a column. Currently, I have this:

from datetime import datetime, timedelta

         


        

Answer 1

You can try this:

import pandas as pd
import numpy as np
from datetime import datetime, timedelta

date_today = datetime.now()
days = pd.date_range(date_today, date_today + timedelta(7), freq='D')

np.random.seed(seed=1111)
data = np.random.randint(1, high=100, size=len(days))
df = pd.DataFrame({'test': days, 'col2': data})
df = df.set_index('test')
print(df)


test                            
2017-03-22 10:07:41.914019    29
2017-03-23 10:07:41.914019    56
2017-03-24 10:07:41.914019    82
2017-03-25 10:07:41.914019    13
2017-03-26 10:07:41.914019    35
2017-03-27 10:07:41.914019    53
2017-03-28 10:07:41.914019    25
2017-03-29 10:07:41.914019    23