extremes

Extreme Value Analysis (EVA) in Python

Modeling Nonstationary Extreme Value Distributions

Marine Extremes detection, identification, and tracking/merging for Exascale Climate data

Project

Compute the minimum absolute value of a one-dimensional single-precision floating-point ndarray.

Compute the maximum value of a one-dimensional single-precision floating-point ndarray.

Clone of https://gitlab.irstea.fr/erwan.le-roux/pynonstationarygev

Supplementary materials to my internship's report.

Compute the minimum value of a one-dimensional double-precision floating-point ndarray.

Compute the range of absolute values of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values.

A Python toolkit for simulation and econometric analysis of dynamical systems, including extreme-value methods and return-time workflows.

Compute the minimum absolute value of a one-dimensional double-precision floating-point ndarray.

Compute the range of absolute values of a one-dimensional double-precision floating-point ndarray.

Compute the maximum value of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values.

Compute the maximum value of a one-dimensional double-precision floating-point ndarray.

Compute the maximum absolute value of a one-dimensional single-precision floating-point ndarray.

Compute the range of a one-dimensional single-precision floating-point ndarray.

Compute the maximum value of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.

Compute the maximum absolute value of a one-dimensional double-precision floating-point ndarray.

Compute the maximum value of a sorted one-dimensional single-precision floating-point ndarray.