Skip to main content

Package for finding peaks and valleys of time series.

Project description

build-and-test-python PyPI version GitHub stars GitHub license PyPI - Downloads

ZigZag

ZigZag provides functions for identifying the peaks and valleys of a time series. Additionally, it provides a function for computing the maximum drawdown.

For fastest understanding, view the IPython notebook demo tutorial.

Contributing

This is an admittedly small project. Still, if you have any contributions, please fork this project on github and send me a pull request.

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

zigzag-0.3.2.tar.gz (112.3 kB view details)

Uploaded Source

Built Distribution

zigzag-0.3.2-cp38-cp38-manylinux_2_31_x86_64.whl (112.2 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.31+ x86-64

File details

Details for the file zigzag-0.3.2.tar.gz.

File metadata

  • Download URL: zigzag-0.3.2.tar.gz
  • Upload date:
  • Size: 112.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.14 CPython/3.8.5 Linux/5.15.0-43-generic

File hashes

Hashes for zigzag-0.3.2.tar.gz
Algorithm Hash digest
SHA256 543083cdd64ec4ccc590c0ba4e831bdb3fbac5623dbd39169acbf5ab034213dd
MD5 9188f862a849fcd008a0029b83fe47fc
BLAKE2b-256 d488028c3d29b17cd2d4cfcc2305bc42e0363d64451e3eda880aab1d0e579069

See more details on using hashes here.

File details

Details for the file zigzag-0.3.2-cp38-cp38-manylinux_2_31_x86_64.whl.

File metadata

  • Download URL: zigzag-0.3.2-cp38-cp38-manylinux_2_31_x86_64.whl
  • Upload date:
  • Size: 112.2 kB
  • Tags: CPython 3.8, manylinux: glibc 2.31+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.14 CPython/3.8.5 Linux/5.15.0-43-generic

File hashes

Hashes for zigzag-0.3.2-cp38-cp38-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 cd190984d02e4e5ddc2ea49ee035cf5b0682e67febcca0b565e2d6f2995e5501
MD5 ef5a10a9417a3b69cbf9592745fe1bb7
BLAKE2b-256 54bf12a24e71bf0718fc3e27e42a883653d0056a20904943782a766140ee0b9f

See more details on using hashes here.

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