trimes
trimes (transient time series) is a python package for transient time series data in pandas format. The application is actually for all time series data where the time vector has a numerical format (e.g numpy's float64) - as opposed to the frequently used DateTime format. To the best of our knowledge, there is currently no other python package focusing on transient time series data as described and the mentioned DateTime format is not convenient for transient time series.
trimes provides functionality for pandas DataFrames (in the format mentioned above) for the following use cases:
- get data points
- interpolation
- resampling
- regression
- signal generation (harmonics, symmetrical components)
- comparison of times series (difference, boundaries, envelopes)
- metrics (e.g. root mean squared error)
- step response analysis
- plotting
and more.
Have a look at the documentation to get started.
Installation
pip install trimes
1 maintainer
Metadata
1 maintainer
Release files for trimes 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| trimes-0.1.1.tar.gz | 165.5 kB | Without provenance | Details for trimes-0.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| trimes-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for trimes-0.1.1-py3-none-any.whl |
Total release size: 193.6 kB
Release files / trimes-0.1.1.tar.gz
| Download URL | trimes-0.1.1.tar.gz |
|---|---|
| Size | 165.5 kB |
| Tags | Source |
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Release files / trimes-0.1.1-py3-none-any.whl
| Download URL | trimes-0.1.1-py3-none-any.whl |
|---|---|
| Size | 28.0 kB |
| Tags | Python 3 |
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No |
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twine/6.2.0 CPython/3.13.12
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Security for trimes 0.1.1
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