Skip to main content

Package for displaying and manipulating SNOM and AFM data

Project description

A package to load, manipulate and visualize SNOM and AFM data.

Overview

The package contains several classes, one for each implemented measurement type (so far: SNOM/AFM images, approach/deproach curves and 3D scans (2D approach curves)). These classes need the path to the measurement folder as well as the channels as input. The classes will then load the data of all specified channels as well as the measurement parameters and the header information of the measurement files. The data can then be manipulated and plotted. Each manipulation changes the data in the memory and also the parameter dictionaries if necessary. The data can then also be saved with the changes.

The package will also create a folder in the users home directory to store several files like a config file, a plot memory, a matplotlib style file and a general plotting parameters file. Making it easier to adjust the package to your needs.

Installation

The package can be installed via pip:

pip install snom-analysis

If you install via pip all dependencies will be installed automatically. I recommend to use a virtual environment.

Documentation

The documentation can be found at https://snom-analysis.readthedocs.io/en/latest/index.html

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

snom_analysis-0.1.25.tar.gz (94.4 kB view details)

Uploaded Source

Built Distribution

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

snom_analysis-0.1.25-py3-none-any.whl (102.6 kB view details)

Uploaded Python 3

File details

Details for the file snom_analysis-0.1.25.tar.gz.

File metadata

  • Download URL: snom_analysis-0.1.25.tar.gz
  • Upload date:
  • Size: 94.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for snom_analysis-0.1.25.tar.gz
Algorithm Hash digest
SHA256 32822677efc7defef6d394885b1e24f34c6189061778743e4fa4bdf72846514c
MD5 5d6bbe1fe59c66c9efb78b44f9cd4d0a
BLAKE2b-256 93b376c4381ccba8323bc1c17664ed7505ebc25d502dfee5d953c56624920fa1

See more details on using hashes here.

File details

Details for the file snom_analysis-0.1.25-py3-none-any.whl.

File metadata

  • Download URL: snom_analysis-0.1.25-py3-none-any.whl
  • Upload date:
  • Size: 102.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for snom_analysis-0.1.25-py3-none-any.whl
Algorithm Hash digest
SHA256 7896ac2abdcd3d0757aa072d1bb98d56c4c83b06dedb73857456c9b171c2ae06
MD5 475472805ee73a00fecad94de9c74145
BLAKE2b-256 ecebabb40e313a0eefe5df41478ddf9252885997c981c7c169ac04e255c914e7

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