The time series toolkit for Python

Please ⭐ us on GitHub (it takes 2-seconds and means a lot).

Install the latest stable version of pytimetk using pip:

pip install pytimetk

Alternatively you can install the development version:

pip install git+https://github.com/business-science/pytimetk.git

This is a simple code to test the function summarize_by_time:

import pytimetk as tk
import pandas as pd

df = tk.datasets.load_dataset('bike_sales_sample')
df['order_date'] = pd.to_datetime(df['order_date'])

df \
    .groupby("category_2") \
    .summarize_by_time(
        date_column='order_date', 
        value_column= 'total_price',
        freq = "MS",
        agg_func = ['mean', 'sum']
    )

To install pytimetk using Poetry, follow these steps:

Make sure you have Python 3.9 or later installed on your system.

To install Poetry, you can use the official installer provided by Poetry. Do not use pip.

Clone the pytimetk repository from GitHub:

git clone https://github.com/business-science/pytimetk

Use Poetry to install the package and its dependencies:

poetry install

or you can create a virtualenv with poetry and install the dependencies

poetry shell
poetry install