Skip to main content

Provides visualization and analysis features for nanoparticle tracking analysis (NTA) data, particularly from the Horiba ViewSizer 3000.

Project description

SizeViewer

Creates graphics and tables from ViewSizer 3000 .dat files for easy comparison of parameters and measurements.

Example graphic

How to use

  1. Install Anaconda.
  2. Create a new conda environment, then within it, install NumPy, SciPy, Pandas, and Matplotlib. (Future updates will include an importable conda environment.)
  3. Open DifferencePlotter.py in a code editor and adjust the settings, beginning at line 28. (This will soon be replaced with a more user-friendly process.)
  4. Run DifferencePlotter.py, which will output .csv files into a "CSV outputs" folder in its parent directory and display a graphic.

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

nanotracking-0.0.5a0.tar.gz (22.9 kB view details)

Uploaded Source

Built Distribution

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

nanotracking-0.0.5a0-cp310-cp310-macosx_11_0_arm64.whl (25.8 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

File details

Details for the file nanotracking-0.0.5a0.tar.gz.

File metadata

  • Download URL: nanotracking-0.0.5a0.tar.gz
  • Upload date:
  • Size: 22.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.13

File hashes

Hashes for nanotracking-0.0.5a0.tar.gz
Algorithm Hash digest
SHA256 df199e46e6cc43733fa51c354795b01ebed07a457c6c748818cb1ece703e6f22
MD5 1e6e0bec4a242f530cd53eb604b7e9d3
BLAKE2b-256 0ef778c80a0b520cc02d069e4540c2e6088fcf068d11d7eac84d9435d46344a2

See more details on using hashes here.

File details

Details for the file nanotracking-0.0.5a0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for nanotracking-0.0.5a0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2e03924365e9a67b73f47871693bee045b9b78969f5f4cb0c3eb9c8d07b76d15
MD5 c7348757d6f3d8a596e591a914d02c4b
BLAKE2b-256 43c3d1355affeff98785d801ead1e01b2c31f98eba2416426c50f584eb4da577

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