Skip to main content

Fractal cube generator, analyzer and visualizer

Project description

pyFC is a module to construct “fractal cubes” that are useful for initial conditions in hydrodynamical simulations representing a dense, inhomogeneous component embedded in a more tenuous smooth background. Examples include clouds in earth’s athmosphere or the multiphase interstellar medium in galaxies.

Classes and functions are provided to create and visualize single-point lognormal, two-point fractal fields, statistics often associated with turbulent, dense condensations.

The method of creating lognormal “fractal cubes” was conceived by Lewis & Austin (2002) for the modeling of clouds in the earth’s atmosphere. The scheme of this code is based on that outlined in their paper.

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

pyFC-0.1.7.tar.gz (2.5 MB view details)

Uploaded Source

Built Distribution

pyFC-0.1.7-py3-none-any.whl (26.1 kB view details)

Uploaded Python 3

File details

Details for the file pyFC-0.1.7.tar.gz.

File metadata

  • Download URL: pyFC-0.1.7.tar.gz
  • Upload date:
  • Size: 2.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2

File hashes

Hashes for pyFC-0.1.7.tar.gz
Algorithm Hash digest
SHA256 1455ec66dc1a851bac185802e3b7b783d00259786f96836bdc6caf09c91c2de2
MD5 05416a8617e0f741623f5af7db64203c
BLAKE2b-256 e3f6df62168b1b32362cfbfcf4fb2203f9c73063d64243ebeefc25d01ed4fdab

See more details on using hashes here.

File details

Details for the file pyFC-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: pyFC-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 26.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2

File hashes

Hashes for pyFC-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 c6ed5f9e1065d7630b8a4d3fc617c5abb2873b322e50bd84c555ddf68755c0b9
MD5 d38352584d55e3e52115b5dc8b6f7433
BLAKE2b-256 f7292564539bc0254d26617c2df9249c1a036d2cda66209bc06671ca225e66ab

See more details on using hashes here.

Supported by

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