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geo-python

A conda environment and docker container to support using earth and environmental data in Python.

https://github.com/lwasser/geo-python

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
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    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.8%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

A conda environment and docker container to support using earth and environmental data in Python.

Basic Info
  • Host: GitHub
  • Owner: lwasser
  • License: bsd-3-clause
  • Language: Shell
  • Default Branch: main
  • Homepage:
  • Size: 146 KB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 2
  • Open Issues: 1
  • Releases: 3
Created over 5 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation Zenodo

README.md

Geo Python Conda Environment

Build / test environment

Binder DOI

Welcome to the geo-Python Environment Repository! Here you will find a conda environment that can be installed on your computer using a .yaml file.

Contributors:

  • Leah A. Wasser (@lwasser)
  • Filipe fernandes (@ocefpaf)
  • Tim Head (@betatim)
  • Chris Holdgraf (@choldgraf)
  • Max Joseph (@mbjoseph)
  • Martha Morrissey

Getting started with the Conda Environment

1. Install the geo-python Conda Environment on your Local Computer.

To begin, install git and conda for Python 3.x (we suggest 3.6).

Installing git: https://git-scm.com/book/en/v2/Getting-Started-Installing-Git

Installing mambaforge: tutorial to come soon!

About Conda Environments: https://conda.io/docs/user-guide/tasks/manage-environments.html

Tutorial On Setup

A setup tutorial will be available online soon.

We recommend installing everything using the with conda-forge channel.

Quick Start: Setup Your Environment

The tutorial above will provide you with more detailed setup instructions. But here are the cliff notes:

To begin make sure ou have a conda python distribution installed. I suggest that you use mambaforge as specified in the tutorial above.

Finally, install the environment using:

mamba env create -f environment.yml

This will take a bit of time to run.

  • Also note that for the code above to work, you need to be in the directory where the environment.yml file lives so CD to that directory first

$ cd geo-python

Update Your Environment from the YAML File

You can update your environment at any time using:

mamba env update -f environment.yml

To manage your conda environments, use the following commands (you can still use conda commands, mamba just makes the install faster):

View envs installed

conda info --envs

Activate the environment that you'd like to use

Conda 4.6 and later versions (all operating systems): conda activate geo-python

The environment name is geo-python as defined in the environment.yml file.

Updating the Geo-python Environment

If you wish to update the earth analytics environment, do the following.

  1. Make a PR with changes to main
  2. An code admin will merge the PR into the main branch

Owner

  • Name: Leah Wasser
  • Login: lwasser
  • Kind: user
  • Location: United States
  • Company: @pyOpenSci

Open education, Open source and Open Science. Executive Director @pyOpenSci

Citation (CITATION.cff) 

cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Leah
    given-names: Wasser
    orcid: https://orcid.org/0000-0002-8177-6550
title: lwasser/geo-python: v1.2.1 Patch to update authors
version: v1.2.1
date-released: 2023-02-15

GitHub Events

Total
Last Year

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 19
  • Total Committers: 1
  • Avg Commits per committer: 19.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Leah Wasser l****h@p****g 19
Committer Domains (Top 20 + Academic)
pyopensci.org: 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 2
  • Total pull requests: 1
  • Average time to close issues: 4 months
  • Average time to close pull requests: 4 months
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • lwasser (2)
Pull Request Authors
  • lwasser (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/build-image.yml actions
  • actions/checkout v2 composite
  • docker/build-push-action v2 composite
  • docker/login-action v1 composite
.github/workflows/build-test-envt.yml actions
  • actions/checkout v2 composite
  • mamba-org/provision-with-micromamba main composite
Dockerfile docker
  • jupyter/minimal-notebook latest build
environment.yml conda
  • autopep8
  • cartopy
  • contextily
  • descartes
  • folium
  • geojson
  • geopy
  • ipython
  • jupyter_contrib_nbextensions
  • jupyterlab
  • matplotlib
  • nc-time-axis
  • netcdf4
  • notebook
  • numpy
  • pip
  • plotly
  • pyproj >=3.0
  • pysal
  • python 3.10.*
  • rasterstats
  • regionmask
  • rioxarray
  • seaborn