TrAffic Situation analysis and Interpretation
TASI is a library to provide high-performance, easy-to-use data structures and data analysis tools for Python based traffic situation analysis and interpretation applications.
TASI is backed by those wonderful libraries
Numpy,Pandas, andNumba
Getting started
Install TASI from the PyPi registry.
pip install tasi
Download the latest DLR-UT version for demonstration purpose.
from tasi.dlr import DLRUTDatasetManager, DLRUTVersion,
dataset = DLRUTDatasetManager(DLRUTVersion.latest)
dataset.load()
and visualize the trajectories within the dataset using matplotlib.
from tasi.dlr import DLRTrajectoryDataset
from tasi.plotting import TrajectoryPlotter
import matplotlib.pyplot as plt
# load the first file of the dataset
ds_ut = DLRTrajectoryDataset.from_csv(dataset.trajectory()[0])
# plot the trajectories
f, ax = plt.subplots()
plotter = TrajectoryPlotter()
plotter.plot(ds_ut, ax=ax)
3 maintainers
Metadata
3 maintainers
Release files for tasi 0.15.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tasi-0.15.4.tar.gz | 50.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tasi-0.15.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 100.1 MB
Release files / tasi-0.15.4.tar.gz
| Download URL | tasi-0.15.4.tar.gz |
|---|---|
| Size | 50.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Release files / tasi-0.15.4-py3-none-any.whl
| Download URL | tasi-0.15.4-py3-none-any.whl |
|---|---|
| Size | 50.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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e978adebe5066244664954a705989b930361dad4b46d12276e28a417fcc3ab9b
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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