This package can be used for spatial clustering of continuous trajectories. It only needs to provide the latitude and longitude information sorted by positioning time and positioning time to find the dwell point of the trajectory.
The input data is in DataFrame format, and the column names must be ['longitude', 'latitude', 'positioning_time'].
eps is the minimum number of clusters, and min_time is the clustering interval time.
Release files for CTDbscan 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| CTDbscan-1.0.0.tar.gz | 3.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| CTDbscan-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.6 kB
Release files / CTDbscan-1.0.0.tar.gz
| Download URL | CTDbscan-1.0.0.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
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Release files / CTDbscan-1.0.0-py3-none-any.whl
| Download URL | CTDbscan-1.0.0-py3-none-any.whl |
|---|---|
| Size | 4.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
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