Skip to main content

MPint :: integration of peaks in multiple spectra

  • The MPint package reads series of spectra...
    • saves each spectrum as PNG image
    • integrates peaks defined by the user
    • and calculates indexes defined by the user.
  • Explanation of key terms:
    • Series of spectra = set of XY-files (ascii files with two columns: X,Y)
    • User-defined peaks = peaks are defined by minimum and maximum X-values
    • User-defined indexes = indexes are defined as ratios between peak areas
    • Example: IR oxidation index = (area of C=O peak) / (standard peak area)
  • Simple user definition of peaks and indexes:
    • Both peaks and indexes are defined in a very simple PY-library.
    • Editing/adjusting libraries is quite easy - see the documentation.
    • Once the library is defined, all calculations are fully automatic.

Quick start

  • Download example1.zip
  • Unpack the data in a separate directory.
  • Read the readme file in the main unpacked dir.
  • Follow the instructions in readme, run the scripts and see the results.
  • If you run the scripts in Spyder, the MPint session looks like this.

Documentation, help, and examples

Brief history

  • Old versions of MPINT: Perl + GNUplot; work fine, but not too user-friendly
  • Version 1.0 = re-written in Python, tested on datafiles from CZ, IT, ES
  • Version 1.1 = small improvements of code + improved documentation

Metadata

Release files for mpint 1.1.1

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

Source distribution (sdist)

Source distribution for mpint 1.1.1
File Size Uploaded Provenance
mpint-1.1.1.tar.gz 9.9 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for mpint 1.1.1
File Interpreter ABI Platform
mpint-1.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 21.2 kB

Release files / mpint-1.1.1.tar.gz

Download URL mpint-1.1.1.tar.gz
Size 9.9 kB
Tags Source
SHA-256 checksum
How to use checksums
400a59a21535c1eaa2465d4fe7e5b5a707fba29be328663f148d7726907f29c0
BLAKE2b-256 checksum
How to use checksums
eb0f95419a9f58f0aa37b4f211789afba64a0fa75e86fa81eca72b4916b61aa5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.5

Release files / mpint-1.1.1-py3-none-any.whl

Download URL mpint-1.1.1-py3-none-any.whl
Size 11.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
88a4a94e7ff92ea39939475019b0527c2a3f0abe62099da339cb87e7a15cfd6d
BLAKE2b-256 checksum
How to use checksums
5e90e913d4beac5ba40a26b4e1e132bf8c28073d510f34aa55ef5a080b748179
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.5

Security for mpint 1.1.1

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