{"id":24352498,"url":"https://github.com/earthinversion/geospatial-data-visualization-using-pygmt","last_synced_at":"2025-04-10T00:36:59.582Z","repository":{"id":119159222,"uuid":"455266435","full_name":"earthinversion/Geospatial-Data-Visualization-using-PyGMT","owner":"earthinversion","description":"Example script to visualize topographic data, earthquake data, and tomographic data on a map","archived":false,"fork":false,"pushed_at":"2022-02-08T01:26:24.000Z","size":8689,"stargazers_count":6,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-24T02:22:32.097Z","etag":null,"topics":["data","geophysics","pygmt","python3","seismology","visualization"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/earthinversion.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2022-02-03T17:42:11.000Z","updated_at":"2023-11-20T06:41:13.000Z","dependencies_parsed_at":"2023-07-10T01:15:34.779Z","dependency_job_id":null,"html_url":"https://github.com/earthinversion/Geospatial-Data-Visualization-using-PyGMT","commit_stats":{"total_commits":10,"total_committers":1,"mean_commits":10.0,"dds":0.0,"last_synced_commit":"c48f2b409cafbcac9d2271f1ceb74f4da2004420"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/earthinversion%2FGeospatial-Data-Visualization-using-PyGMT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/earthinversion%2FGeospatial-Data-Visualization-using-PyGMT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/earthinversion%2FGeospatial-Data-Visualization-using-PyGMT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/earthinversion%2FGeospatial-Data-Visualization-using-PyGMT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/earthinversion","download_url":"https://codeload.github.com/earthinversion/Geospatial-Data-Visualization-using-PyGMT/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248138008,"owners_count":21053775,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data","geophysics","pygmt","python3","seismology","visualization"],"created_at":"2025-01-18T15:54:50.239Z","updated_at":"2025-04-10T00:36:59.541Z","avatar_url":"https://github.com/earthinversion.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Geospatial Data Visualization using PyGMT\nThis notebook has been created for the BSL talk on Feb 02, 2022 at McCone Hall, University of California, Berkeley\n\n## You can also open the notebooks in the Binder application online...\n\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/earthinversion/Geospatial-Data-Visualization-using-PyGMT/master)\n\n\n## Install libraries\n\n### Using python env\n```\npython -m venv geoviz\nsource geoviz/bin/activate\npip install pygmt\n```\n\n- Try:\n```\npython -c \"import pygmt\"\n```\nif there's no `ImportError`, then you are good to go.\n\n__NOTE:__\nIf there's any pygmt import problem, install GMT separately and link the `libgmt.dylib` file to the file python is looking for!\n\n- One way to install GMT is `conda install gmt -c conda-forge`\n\n```\nln -s ~/miniconda3/envs/boxgmt/lib/libgmt.dylib ~/miniconda3/envs/geoviz/lib/libgmt.dylib\n```\n\n### Using conda env (recommended)\n```\nconda create --name geoviz --channel conda-forge pandas pygmt jupyter notebook\n```\n\n\n\n\n```\nconda env export \u003e environment.yml\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fearthinversion%2Fgeospatial-data-visualization-using-pygmt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fearthinversion%2Fgeospatial-data-visualization-using-pygmt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fearthinversion%2Fgeospatial-data-visualization-using-pygmt/lists"}