Skip to main content

A package with utilities expressly for the VTI/PVE teams at DTNA.

Project description

PVE-VTI Utility Package

pvevti is a pip-installable package intended to provide easy access to a suite of tools and enable accelerated analysis and modification of CSV files. The package is developed and maintained by the Vehicle Thermodynamics and Integration team under Product Validation Engineering at DTNA.

Installation

To install pvevti, ensure pip is installed. pip is installed by default with any modern python installation. To check installation, enter pip list; if pip is installed, a list of packages installed to the local machine should be printed.

With pip verified to be functioning, simply enter pip install pvevti. A network connection is required to pull the files when installing or updating the package.

To update pvevti, enter pip install pvevti --upgrade. If you believe a dependency is not being met, pvevti is improperly installed, or source files were altered, force a reinstall with pip install pvevti --upgrade --force-reinstall. This starts a lengthy process of each dependency's reinstallation - be ready!

To check if pvevti is installed, simply attempt to import the package in a python CLI or script. The version can be extracted by checking the package's __version__ 'dunder' variable.

Usage

pvevti is composed of a few modules:

  • csvutil: Utilities associated with CSV manipulation, loading, and saving.
  • pdfutil: Utilities associated with PDF creation, management, and saving.
  • jsonutil: Utilities associated with JSON reading and management.
  • genutil: Utilities associated with packaging and managing data, manipulating and extracting properties, and all pandas DataFrame manipulation (including conversions, filters, and GPS management).
  • mf4util: Utilities associated with ASAM's MDF/MF4 file architecture; selective loading, filtering, and metadata acquisition.

The package is documented, in both source code and docstring formats. Most input arguments are typechecked, and safety rails exist to minimize the number of uncaught errors in a given process.

As with any package, use pip uninstall pvevti to remove the package and its dependencies.

It is suggested to only import the modules you need; for example, instead of import pvevti a user who only needs the general utilities should run import pvevti.genutil as gu. This increases semantic legibility and decreases import time.

A select few utilities require internet connection to download basemaps as a part of the PDF creation process.

Reference

For reference, please refer to docs.md. Examples of usage are found at the last section of the docs markdown file.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pvevti-2025.8.19.0.tar.gz (45.5 kB view details)

Uploaded Source

Built Distribution

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

pvevti-2025.8.19.0-py3-none-any.whl (40.8 kB view details)

Uploaded Python 3

File details

Details for the file pvevti-2025.8.19.0.tar.gz.

File metadata

  • Download URL: pvevti-2025.8.19.0.tar.gz
  • Upload date:
  • Size: 45.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.4

File hashes

Hashes for pvevti-2025.8.19.0.tar.gz
Algorithm Hash digest
SHA256 8631f5d4e8dd8f82641267b568d07e9e8f0fbbbb27232a9a67f06622f98c3995
MD5 441d350bafe37e8321c6338312835acc
BLAKE2b-256 151caaf8c6e55b8ea1e326f565c0317b79b5f7a9b82e31de3deafd42170ab15f

See more details on using hashes here.

File details

Details for the file pvevti-2025.8.19.0-py3-none-any.whl.

File metadata

  • Download URL: pvevti-2025.8.19.0-py3-none-any.whl
  • Upload date:
  • Size: 40.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.4

File hashes

Hashes for pvevti-2025.8.19.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2c08b22c10aca12f37eb99dffef8a490d81fbe4b7487c3fc469a519354386960
MD5 dc1588f9c51278f914a3ede48a07c3db
BLAKE2b-256 4eb6df3ad6778cbaf1d2f45dd6b04b901e89a2815fdff448e3663716e97a6c0e

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