Skip to content

Python code for computing monthly climatology and anomalies of time series data.

License

Notifications You must be signed in to change notification settings

thomas-himmer/climanomaly

Repository files navigation

climanomaly

license Tests Ruff

This repository contains Python code for performing time series analysis, including computing monthly climatology and anomalies.

Overview

The code provides two main functions:

  1. monthly_climatology(df): Computes the monthly climatology (seasonal cycle) of a given time series.
  2. anomaly(df): Computes the anomaly of a given time series by removing the climatology.

Additionally, an example_usage() function demonstrates how to use the provided functions to analyze temperature data.

Dependencies

The code relies on the following Python libraries:

  • pandas
  • matplotlib

About

Python code for computing monthly climatology and anomalies of time series data.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages