Skip to main content

Annual daylight recipe for Pollination.

Project description

annual-daylight

Annual daylight recipe for Pollination.

Use this recipe to calculate annual daylight for a HBJSON model.

This recipe uses a 2-phase method for daylight simulation. If the accuracy of the direct sunlight is important, you can use the annual-daylight-enhanced recipe.

Versions

There are three different versions of the recipe. All three versions use the same simulation methodology and workflow, although their outputs vary.

Version Outputs PyPI
annual-daylight
  • annual daylight metrics
annual-daylight
annual-daylight.viz
  • annual daylight metrics
  • visualization
annual-daylight.viz
annual-daylight.full
  • annual daylight metrics
  • visualization
  • results folder
annual-daylight.full

For more information see the recipe on Pollination.

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

pollination_annual_daylight-0.10.20.tar.gz (73.9 kB view details)

Uploaded Source

Built Distribution

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

pollination_annual_daylight-0.10.20-py2.py3-none-any.whl (11.7 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pollination_annual_daylight-0.10.20.tar.gz.

File metadata

File hashes

Hashes for pollination_annual_daylight-0.10.20.tar.gz
Algorithm Hash digest
SHA256 ece1f62424b74c951dcb3e62876deb9890f363eb41b1879898c6b8e1c6614276
MD5 4a4086cb683a5a7eb3d61ed4526cf928
BLAKE2b-256 6a3eca8a0c82b0091622d9e07c3be55cdb3208fe8be22deb07e3d42c36066b6b

See more details on using hashes here.

File details

Details for the file pollination_annual_daylight-0.10.20-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pollination_annual_daylight-0.10.20-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 794c7cb48e7e2ee5c6195b2318b649301e64e961b184c3ba04fa3feb09d4141e
MD5 938a2d19e04632573c9337a14dedf13e
BLAKE2b-256 21aba264d69ca6eadcc152a7c5e52ea8edb4f2e920ebe265f01bc2e85840e786

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