https://github.com/marcnuth/scikit-intervals

handling intervals calculation in python
https://github.com/marcnuth/scikit-intervals

interval mathmatics scikit

Last synced: 19 days ago
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handling intervals calculation in python

• Host: GitHub
• URL: https://github.com/marcnuth/scikit-intervals
• Owner: Marcnuth
• License: apache-2.0
• Created: 2018-01-03T02:41:47.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-01-31T02:30:33.000Z (about 7 years ago)
• Last Synced: 2024-12-19T05:19:35.879Z (about 2 months ago)
• Topics: interval, mathmatics, scikit
• Language: Python
• Size: 16.6 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Introduction

Scikit-intervals is a library for handling intervals in python, and this library support both number interval and datetime interval.

Comparing to other library, this lib is more advanced in:

- use numpy's infinite as the infinite boundary instead of other infinite library, which is more easy for engineer especailly for data science engineer

- completely support converting interval to string, or converting string to interval, which will good for persistence and storage

- support both number interval and datetime interval

# Install

```shell

pip install scikit-intervals

```

# Usage

## Initializing an interval

### Initializing from string

```python

from skintervals import DatetimeInterval, FloatInterval

# interval for datetime in (2017-05-12 00:00:00, 2018-01-01 12:00:39]

inter1 = DatetimeInterval.from_str('(2017-05-12, 2018-01-01 12:00:39]')

# interval for number in (1.0, 3.0)

inter2 = FloatInterval.from_str('(1,3)')

# interval for number which is smaller than 5.4

inter3 = FloatInterval.from_str('(5.4)')

# interval for number in whole R

inter4 = FloatInterval.from_str('(,)')

```