timeseries_unit_frequency_table

timeseries_unit_frequency_table(wide_format=False, engine='pandas')

The function timeseries_unit_frequency_table returns a pandas DataFrame with units of time and their corresponding frequencies in seconds.

Parameters

Name	Type	Description	Default
wide_format	bool	The wide_format parameter determines the format of the output table. If wide_format is set to True, the table will be transposed.	`False`
engine	str	The `engine` parameter is used to specify the engine to use for generating the timeseries unit frequency table. It can be either “pandas” or “polars”. - The default value is “pandas”. - When “polars”, the function will internally use the `polars` library for generating a timeseries unit frequency table.	`'pandas'`

Name	Type	Description
	pd.DataFrame	a pandas DataFrame that contains two columns: “unit” and “freq”. The “unit” column contains the units of time (seconds, minutes, hours, etc.), and the “freq” column contains the corresponding frequencies in seconds for each unit.

import pytimetk as tk

tk.timeseries_unit_frequency_table()

	unit	freq	freq_min	freq_max
0	sec	0	0	0
1	min	60	60	60
2	hour	3600	3600	3600
3	day	86400	86400	86400
4	week	604800	604800	604800
5	month	2678400	2419200	2678400
6	quarter	7948800	7776000	7948800
7	year	31622400	31536000	31622400

# Polars engine example
import pytimetk as tk

tk.timeseries_unit_frequency_table(engine='polars')

	unit	freq	freq_min	freq_max
0	sec	0	0	0
1	min	60	60	60
2	hour	3600	3600	3600
3	day	86400	86400	86400
4	week	604800	604800	604800
5	month	2678400	2419200	2678400
6	quarter	7948800	7776000	7948800
7	year	31622400	31536000	31622400