Reviewed trended data in .csv file format

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for johnvorsten from gravatar.com johnvorsten

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: Mozilla Public License 2.0 (MPL 2.0)

Author: John Vorsten

Classifiers

Project description

This package simplifies trend review of certain classes of HVAC equipment, following ASHRAE guideline 36 'High Performance Sequence of Operations for HVAC Systems'. It can also be used to create 2D graphs from .csv files.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for johnvorsten from gravatar.com johnvorsten

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: Mozilla Public License 2.0 (MPL 2.0)

Author: John Vorsten

Classifiers

Release history Release notifications | RSS feed

This version

0.0.4

0.0.3

0.0.1

Download files

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

Source Distribution

trendreview-0.0.4.tar.gz (26.3 kB view hashes)

Uploaded Source

Built Distribution

trendreview-0.0.4-py3-none-any.whl (30.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page