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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tasi-0.15.3.tar.gz.
File metadata
- Download URL: tasi-0.15.3.tar.gz
- Upload date:
- Size: 50.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c54beeda8eca6880c0c515d6611aabf156bb47ac6277ca5d312203b5ed2fcef8
|
|
| MD5 |
4a8789c9955a1f076bd23514949d34ca
|
|
| BLAKE2b-256 |
bc0bb87bd68c8c1378436e45bb6be0da82505371be91f125589e5b0f190756c4
|
File details
Details for the file tasi-0.15.3-py3-none-any.whl.
File metadata
- Download URL: tasi-0.15.3-py3-none-any.whl
- Upload date:
- Size: 50.1 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6f157d5954947f31366d5120f3c8055368ce59c4612d1d385e451a85b828bdf9
|
|
| MD5 |
1c191ce7bb3766009d002b25a116bfa4
|
|
| BLAKE2b-256 |
df42430c8a554eb1bb14c1821356037913e589d3a3d4919726aa087ad3f82b7c
|
