pytimetk 0.1.0

The time series toolkit for Python.

pytimetk

The time series toolkit for Python

This library is currently under development and is not intended for general usage yet. Functionality is experimental until release 0.1.0.

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Install Dev Version

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

Quickstart:

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']
    )

Developers (Contributors): Installation

To install pytimetk using Poetry, follow these steps:

1. Prerequisites

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

2. Install Poetry

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

3. Clone the Repository

Clone the pytimetk repository from GitHub:

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

4. Install Dependencies

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