nctoolkit: Fast and easy analysis of netCDF data in Python

nctoolkit is a comprehensive Python package for analyzing netCDF data on Linux and MacOS.

Core abilities include:

• Cropping to geographic regions

• Interactive plotting of data

• Subsetting to specific time periods

• Calculating time averages

• Calculating spatial averages

• Calculating rolling averages

• Calculating climatologies

• Creating new variables using arithmetic operations

• Calculating anomalies

• Horizontally and vertically remapping data

• Calculating the correlations between variables

• Calculating vertical averages for the likes of oceanic data

• Calculating ensemble averages

• Calculating phenological metrics

Fixing plotting problem due to xarray bug

There is currently a bug in xarray caused by the update of pandas to version 1.1. As a result some plots will fail in nctoolkit. To fix this ensure pandas version 1.0.5 is installed. Do this after installing nctoolkit. This can be done as follows:

$ conda install -c conda-forge pandas=1.0.5

or:

$ pip install pandas==1.0.5

Documentation

Getting Started

• Installation

• Introduction tutorial

• Ensemble methods

• Speeding up code

User Guide

• Datasets

Help & reference

• An A-Z guide to nctoolkit methods

• API Reference

• How to guide