Skip to main content

This package identifies the day-level time-series outliers for a given dataset

Project description

Outlier Detection for Time-series Data

This package identifies the day-level time-series outliers for a given dataset.

DataFrame Arguments:

First column in the dataframe must be a date column ('YYYY-MM-DD') and second or the last column a count column.

Package Functions:

  • detect_outliers(df): Detect outliers in a time-series dataframe using seasonal trend decomposition when there is at least 2 years of data, otherwise we can use Interquartile Range (IQR) for smaller timeframe.
  • detect_ouliers_today(df) Detect outliers for the current date in a time-series dataframe.
  • detect_outliers_latest(df): Detect latest outliers in a time-series dataframe.
  • find_outliers_iqr(df): Detect outliers in a time-series dataframe when there's less than 2 years of data.

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

pycatcher-0.0.3.tar.gz (15.3 kB view details)

Uploaded Source

Built Distribution

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

pycatcher-0.0.3-py3-none-any.whl (14.6 kB view details)

Uploaded Python 3

File details

Details for the file pycatcher-0.0.3.tar.gz.

File metadata

  • Download URL: pycatcher-0.0.3.tar.gz
  • Upload date:
  • Size: 15.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for pycatcher-0.0.3.tar.gz
Algorithm Hash digest
SHA256 57b5ca32f80c5c27a0cff969ef46bce9ba6fe039a10aed4cad5cef7f82eaf99e
MD5 8f507f4aac0ed2e61e01ab4e5b1d20ee
BLAKE2b-256 e3f209143dbe0dc00f1eeb86ccf0262729676a020ada649cf5dea6f2701dde75

See more details on using hashes here.

File details

Details for the file pycatcher-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: pycatcher-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 14.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for pycatcher-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 0b5fbe796a63644691426a1f75397f60ee2f452d67dd6ed69efcd179a94692d0
MD5 5e8324cf7a7d7e10dec0ef929a232543
BLAKE2b-256 89d4c4d717590047b6226d746183533536cc7273ade7d9da0de08f7e7e792f3d

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