Skip to main content

TKEanalyst

Read the detailed Python code docs at https://tke-calculator.readthedocs.io/

Requirements

Python >=3.6 NumPy >=1.20 Pandas >=1.4.1

Usage

  • Adapt the input parameters in input.xlsx
  • Run the main script python profile_analyst.py

Comparison of Matlab and Python scripts

The Matlab codes correspond to the following Python files.

Matlab file Python file
main_LP.m profile_analyst.py
flowstat.m flowstat.py
rmspike.m rmspike.py

In addition, the following Python files were added:

  • config.py contains global variables
  • profile_plotter.py contains plot functions that were originally in main_LP.m

Metadata

Release files for TKEanalyst 1.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for TKEanalyst 1.0.3
File Size Uploaded Provenance Actions
TKEanalyst-1.0.3.tar.gz 11.4 kB Without provenance Details for TKEanalyst-1.0.3.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for TKEanalyst 1.0.3
File Interpreter ABI Platform Actions
TKEanalyst-1.0.3-py3-none-any.whl Python 3 none any Details for TKEanalyst-1.0.3-py3-none-any.whl

Total release size: 23.0 kB

Release files / TKEanalyst-1.0.3.tar.gz

Download URL TKEanalyst-1.0.3.tar.gz
Size 11.4 kB
Tags Source
SHA-256 checksum
How to use checksums
7789860312daa9208e963c1c46004cfd04d341067658edefcfc0d78860d5fdf3
BLAKE2b-256 checksum
How to use checksums
08df835e37ecde80da0c5da98f15c36bd8a3ba6d91a001a53dde30b87e5b0d45
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

Release files / TKEanalyst-1.0.3-py3-none-any.whl

Download URL TKEanalyst-1.0.3-py3-none-any.whl
Size 11.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
10dd7ec19d8ad0b4711b1c5475ab44ef16a6c5fdcad81673bebaeaa324759275
BLAKE2b-256 checksum
How to use checksums
2fe0064e774c488c1d4ebf284b1d9e3e4e05b39c472c138c0f1eb50eaebe10eb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

Security for TKEanalyst 1.0.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page