Skip to main content

A simple and functional toolkit for working with data in VTK.

Project description

Ngawari

Ngawari is a Python-based toolkit for simplifying operations in data analysis and processing, particularly focused on medical imaging and computational geometry. It is built heavily on top of the VTK library.

Features

  • Advanced geometric calculations and transformations
  • Medical imaging data processing
  • Statistical analysis tools
  • 3D visualization capabilities

Installation

To install Ngawari, run the following command:

pip install ngawari

Usage

Here's a quick example of how to use Ngawari:

from ngawari import ftk, fIO, vtkfilters
import numpy as np

# Create a simple sphere
sphere = vtkfilters.buildSphereSource([0, 0, 0], radius=1.0)

# Get points as numpy array
points = vtkfilters.getPtsAsNumpy(sphere)

# Add a scalar array
vtkfilters.setArrayFromNumpy(sphere, points[:, 0], "x_coords", SET_SCALAR=True)

# Apply a filter
smoothed = vtkfilters.smoothTris(sphere, iterations=10)

# Write to file
fIO.writeVTKFile(smoothed, "smoothed_sphere.vtp")

# Build image over sphere:
image = vtkfilters.buildRawImageDataFromPolyData(smoothed, res=[0.1,0.1,0.1])

# Add a scalar array to the image
vtkfilters.setArrayFromNumpy(image, np.random.rand(image.GetNumberOfPoints()), "random_scalar", SET_SCALAR=True)

# Null scalars outside sphere
image_nulled = vtkfilters.filterNullOutsideSurface(image, smoothed)

# Write to file
fIO.writeVTKFile(image_nulled, "image_over_sphere.vti")

For more detailed usage instructions, please refer to the documentation.

Documentation #TODO

Full documentation is available at https://fraser29.github.io/ngawari/

Contributing

We welcome contributions! Please see our Contributing Guide for more details.

License

Ngawari is released under the MIT License. See the LICENSE file for more details.

Contact

For any questions or support, please open an issue on our GitHub repository or contact us at support@ngawari.com.

Dependencies

This project uses the following major dependencies:

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ngawari-0.1.9.tar.gz (52.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ngawari-0.1.9-py3-none-any.whl (52.2 kB view details)

Uploaded Python 3

File details

Details for the file ngawari-0.1.9.tar.gz.

File metadata

  • Download URL: ngawari-0.1.9.tar.gz
  • Upload date:
  • Size: 52.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for ngawari-0.1.9.tar.gz
Algorithm Hash digest
SHA256 32cb3e1c1887d370b9d39834af0973073a04e8f094bc8f3391b32878f8fac06d
MD5 fff493522808c020c8727d010f7d9708
BLAKE2b-256 461d8324163f99524f998809d81038a5137330007e17bd450543adccf19b70aa

See more details on using hashes here.

File details

Details for the file ngawari-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: ngawari-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 52.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for ngawari-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 79cb29925da95b9068933b82e751b017c46047a2a6098f3298e112e5573f0d94
MD5 002726184e938bef5eaaabb09bfb9fad
BLAKE2b-256 fcb6fde5bd9d034635acfe96addb9a476002b455f6e9c799810010ed18b5121b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page