haplo

Installation

To install haplo, use

pip install haplo

Although not required, as is generally good practice for any development project, we highly recommend creating a separate virtual environment for each distinct project. For example, via Conda, creating a virtual environment for a project using haplo might look like (be sure to choose a better name)

conda create -n project_using_haplo_env python=3.11

Then before working, be sure to activate your environment with

conda activate project_using_haplo_env

Then install haplo within this environment.

Getting started

A basic example project can be downloaded here. Be sure to rename the directory to a name that describes your project before getting started.

Contents:

• Analysis tools
  • Xarray MCMC output files
• Reference
  • combine_constantinos_kalapotharakos_split_mcmc_output_files_to_xarray_zarr()
  • mcmc_output_xarray_dataset_to_pandas_data_frame()
  • slice_iteration_of_mcmc_output_xarray_dataset()

Indices and tables

• Index

• Module Index

• Search Page