# Pixel Clusterizer [](https://travis-ci.org/SiLab-Bonn/pixel_clusterizer) [](https://ci.appveyor.com/project/SiLab-Bonn/pixel_clusterizer) [](https://coveralls.io/github/SiLab-Bonn/pixel_clusterizer?branch=master)
Pixel_clusterizer is an easy to use pixel hit-clusterizer for Python. It clusters hits on an event basis in space and time.
The hits have to be defined as a numpy recarray. The array has to have the following fields:
- event_number
- frame
- column
- row
- charge
or a mapping of the names has to be provided. The data type does not matter.
The result of the clustering is the hit array extended by the following fields:
- cluster_ID
- is_seed
- cluster_size
- n_cluster
A new array with cluster information is also created created and has the following fields:
- event_number
- ID
- size
- charge
- seed_column
- seed_row
- mean_column
- mean_row
# Installation
The stable code is hosted on PyPI and can be installed by typing:
pip install pixel_clusterizer
# Usage
```
import numpy as np
from pixel_clusterizer import clusterizer
hits = np.ones(shape=(3, ), dtype=clusterizer.hit_data_type) # Create some data with std. hit data type
cr = clusterizer.HitClusterizer() # Initialize clusterizer
hits_clustered, cluster = cr.cluster_hits(hits) # Cluster hits
```
Also take a look at the example folder!
# Test installation
```
nosetests pixel_clusterizer
```
Pixel_clusterizer is an easy to use pixel hit-clusterizer for Python. It clusters hits on an event basis in space and time.
The hits have to be defined as a numpy recarray. The array has to have the following fields:
- event_number
- frame
- column
- row
- charge
or a mapping of the names has to be provided. The data type does not matter.
The result of the clustering is the hit array extended by the following fields:
- cluster_ID
- is_seed
- cluster_size
- n_cluster
A new array with cluster information is also created created and has the following fields:
- event_number
- ID
- size
- charge
- seed_column
- seed_row
- mean_column
- mean_row
# Installation
The stable code is hosted on PyPI and can be installed by typing:
pip install pixel_clusterizer
# Usage
```
import numpy as np
from pixel_clusterizer import clusterizer
hits = np.ones(shape=(3, ), dtype=clusterizer.hit_data_type) # Create some data with std. hit data type
cr = clusterizer.HitClusterizer() # Initialize clusterizer
hits_clustered, cluster = cr.cluster_hits(hits) # Cluster hits
```
Also take a look at the example folder!
# Test installation
```
nosetests pixel_clusterizer
```
4 maintainers
Metadata
4 maintainers
Release files for pixel-clusterizer 3.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pixel_clusterizer-3.0.0.tar.gz | 33.7 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pixel_clusterizer-3.0.0-py3-none-any.whl | Python 3 | none | any | Details |
| pixel_clusterizer-3.0.0-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 106.0 kB
Release files / pixel_clusterizer-3.0.0.tar.gz
| Download URL | pixel_clusterizer-3.0.0.tar.gz |
|---|---|
| Size | 33.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fe18c5466cc5794616e5081e0593cc1dd04a9036d3ce39610360b2ab893de091
|
|
BLAKE2b-256 checksum How to use checksums |
0dd9aed767c346e392e07ad48c8383d1a0315e72c451462560fb25a269430948
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / pixel_clusterizer-3.0.0-py3-none-any.whl
| Download URL | pixel_clusterizer-3.0.0-py3-none-any.whl |
|---|---|
| Size | 36.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
61303196bf1b0cbb525bf84b06ebad2025f5b493c0b7a88c55d6914e2b820225
|
|
BLAKE2b-256 checksum How to use checksums |
ecc9705eac5c033c7ad9cece43c774515f48a3760265c3fd69d8dce6e0f3754e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / pixel_clusterizer-3.0.0-py2-none-any.whl
| Download URL | pixel_clusterizer-3.0.0-py2-none-any.whl |
|---|---|
| Size | 35.4 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
7b0dea7dbc5233770fcbad4ed8c5c7f1bb04b8ed15b93613b1c635847192525a
|
|
BLAKE2b-256 checksum How to use checksums |
b3edb02ecd90c61f723ee8037a9a115f337dceaecda51c0f26f6f5b6288a6161
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
