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

Time series easier, faster, more fun. Pytimetk.
https://github.com/business-science/pytimetk

pandas polars time time-series timeseries timeseries-analysis

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Time series easier, faster, more fun. Pytimetk.

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README

        

readme

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Github Actions PyPI Version PRs Welcome


pytimetk



The time series toolkit for Python



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

Installation


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

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

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