{"id":19140633,"url":"https://github.com/matrix-profile-foundation/pydata2020","last_synced_at":"2026-07-12T17:31:33.338Z","repository":{"id":102065388,"uuid":"295895892","full_name":"matrix-profile-foundation/pydata2020","owner":"matrix-profile-foundation","description":"Presentation materials for PyData 2020: Matrix Profile API: A novel cross-language API for time series analysis","archived":false,"fork":false,"pushed_at":"2020-10-09T10:26:29.000Z","size":783,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-02-22T19:13:32.674Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/matrix-profile-foundation.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-09-16T01:54:50.000Z","updated_at":"2020-10-22T15:11:01.000Z","dependencies_parsed_at":null,"dependency_job_id":"2c436f82-d927-46a8-9508-dca70ea87cdb","html_url":"https://github.com/matrix-profile-foundation/pydata2020","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/matrix-profile-foundation/pydata2020","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matrix-profile-foundation%2Fpydata2020","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matrix-profile-foundation%2Fpydata2020/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matrix-profile-foundation%2Fpydata2020/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matrix-profile-foundation%2Fpydata2020/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/matrix-profile-foundation","download_url":"https://codeload.github.com/matrix-profile-foundation/pydata2020/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matrix-profile-foundation%2Fpydata2020/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":35398566,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-07-12T02:00:06.386Z","response_time":87,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2024-11-09T07:18:16.738Z","updated_at":"2026-07-12T17:31:33.320Z","avatar_url":"https://github.com/matrix-profile-foundation.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Overview\n========\nThis repository is used to re-create the plots and code for the PyData Global 2020 presentation.\n\nSetup\n=====\nThis code base utilizes anaconda for environmental dependencies. You may obtain anaconda [here](https://www.anaconda.com/distribution/).\n\nCheckout the repository:\n\n```\ngit clone https://github.com/matrix-profile-foundation/pydata2020.git pydata2020-mpf\n```\n\nInstall dependencies:\n\n```\ncd pydata2020-mpf\nconda env create -f environment.yaml \nconda activate pydata2020-mpf\n\n# for a jupyter kernel with the conda environment\npython -m ipykernel install --user --name=pydata2020-mpf\n```\n\nCode Execution\n==============\nThe code is distributed using Jupyter notebooks. You may launch jupyter lab and view the notebooks with the following commands (assuming you are still in the local repository directory).\n\n```\njupyter lab\n```\n\nOrder of Review\n===============\nIt is suggested, not required, to review the notebooks in the following order:\n\n1. Dataset Overview\n2. Transform Dataset\n3. Computing Distance Matrix\n4. MPDist vs Euclidean\n5. MPDist vs DTW\n6. Hierarchical Clustering\n7. 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