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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
Last synced: 1 day ago
JSON representation
Time series easier, faster, more fun. Pytimetk.
- Host: GitHub
- URL: https://github.com/business-science/pytimetk
- Owner: business-science
- License: mit
- Created: 2021-04-16T19:46:49.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2024-11-06T17:55:23.000Z (3 months ago)
- Last Synced: 2025-01-17T09:00:13.989Z (9 days ago)
- Topics: pandas, polars, time, time-series, timeseries, timeseries-analysis
- Language: Python
- Homepage: https://business-science.github.io/pytimetk/
- Size: 185 MB
- Stars: 759
- Watchers: 20
- Forks: 63
- Open Issues: 29
-
Metadata Files:
- Readme: README.html
- Contributing: docs/contributing.qmd
- License: LICENSE
Awesome Lists containing this project
- awesome-time-series - pytimetk
README
readme
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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
usingpip
:
Alternatively you can install the development version:
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:
4. Install Dependencies
Use Poetry to install the package and its dependencies:
or you can create a virtualenv with poetry and install the dependencies
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