https://github.com/gjeusel/ticts

A Python library for unevenly-spaced time series analysis
https://github.com/gjeusel/ticts

iot pandas python3 sensor timeseries unevenly-spaced

Last synced: 4 months ago
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A Python library for unevenly-spaced time series analysis

• Host: GitHub
• URL: https://github.com/gjeusel/ticts
• Owner: gjeusel
• License: mit
• Created: 2019-05-23T18:48:33.000Z (about 7 years ago)
• Default Branch: main
• Last Pushed: 2025-12-16T08:50:36.000Z (6 months ago)
• Last Synced: 2025-12-19T21:45:35.349Z (6 months ago)
• Topics: iot, pandas, python3, sensor, timeseries, unevenly-spaced
• Language: Python
• Size: 955 KB
• Stars: 16
• Watchers: 1
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE

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README

          


  ticts

  





  

      

  

  

      

  

  

      

  

  

    

  





  

    A Python library for unevenly-spaced time series analysis.

    Greatly inspired by traces

  





Get Started [Notebook](https://mybinder.org/v2/gh/gjeusel/ticts/main?labpath=docs%2FTutorial.ipynb).

---

## Usage

```python

from ticts import TimeSeries

ts = TimeSeries({

  '2019-01-01': 1,

  '2019-01-01 00:10:00': 2,

  '2019-01-01 00:11:00': 3,

})

not_in_index = '2019-01-01 00:05:00'

assert ts[not_in_index] == 1  # step function, previous value

ts['2019-01-01 00:04:00'] = 10

assert ts[not_in_index] == 10

assert ts + ts == 2 * ts

ts_evenly_spaced = ts.sample(freq='1Min')

# From ticts to pandas, and the other way around

assert ts.equals(

  ts.to_dataframe().to_ticts(),

)

```

## Installation

```bash

pip install ticts

```