module timeseries.datasets#

Short summary#

module mlinsights.timeseries.datasets

Datasets for timeseries.

source on GitHub

Functions#

function

truncated documentation

artificial_data

Generates articial data every minutes.

Documentation#

Datasets for timeseries.

source on GitHub

mlinsights.timeseries.datasets.artificial_data(dt1, dt2, minutes=1)#

Generates articial data every minutes.

Parameters:
  • dt1 – first date

  • dt2 – second date

  • minutes – interval between two observations

Returns:

dataframe

<<<

import datetime
from mlinsights.timeseries.datasets import artificial_data

now = datetime.datetime.now()
data = artificial_data(now - datetime.timedelta(40), now)
print(data.head())

>>>

                            time         y
    0 2023-01-19 08:59:22.324970  1.950824
    1 2023-01-19 09:00:22.324970  2.028158
    2 2023-01-19 09:01:22.324970  2.007670
    3 2023-01-19 09:02:22.324970  1.816325
    4 2023-01-19 09:03:22.324970  2.003084

source on GitHub