Skip to main content

Transformation utilities for data with event start/end times in Pandas.

Project description

Event Transforms (Pandas)

Efficient utility functions for wrangling DataFrames with event start/end times for rows, using built-in Pandas operations.

  • coalesce_events combines overlapping events into single events

Project details


Download files

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

Source Distribution

event_transforms_pandas-0.0.1.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

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

event_transforms_pandas-0.0.1-py3-none-any.whl (3.7 kB view details)

Uploaded Python 3

File details

Details for the file event_transforms_pandas-0.0.1.tar.gz.

File metadata

  • Download URL: event_transforms_pandas-0.0.1.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for event_transforms_pandas-0.0.1.tar.gz
Algorithm Hash digest
SHA256 fb142a8ab781772deec01dc2b9dd21761ac7bd31d96655220eeb252d91ca9ab2
MD5 ddb8e72ba2db04aee6ad75c373690ff8
BLAKE2b-256 9a21f005ddec64b3733fc2614a6535cdcb4a039ccf6b13ba345d21866f330478

See more details on using hashes here.

File details

Details for the file event_transforms_pandas-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for event_transforms_pandas-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0908210bfaf5e6d3e70be0282fd403fdfa57cdd192f9a91cff3704f1d8d8e9fb
MD5 50071123c98acacba2c0b765e83832fa
BLAKE2b-256 ded42b332fe6956a3653a45be46bd47fff1c64b266daaed47662b9e0c6c672ed

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