{"id":13476828,"url":"https://github.com/MathOnco/Curvogram","last_synced_at":"2025-03-27T04:31:12.911Z","repository":{"id":136398753,"uuid":"485420987","full_name":"MathOnco/Curvogram","owner":"MathOnco","description":"Method for plotting histograms on a curve using a West Transform","archived":false,"fork":false,"pushed_at":"2022-04-26T19:53:29.000Z","size":1826,"stargazers_count":10,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-10-30T09:35:41.743Z","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":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MathOnco.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2022-04-25T15:09:15.000Z","updated_at":"2024-04-19T16:45:50.000Z","dependencies_parsed_at":"2023-05-31T16:15:52.939Z","dependency_job_id":null,"html_url":"https://github.com/MathOnco/Curvogram","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MathOnco%2FCurvogram","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MathOnco%2FCurvogram/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MathOnco%2FCurvogram/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MathOnco%2FCurvogram/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MathOnco","download_url":"https://codeload.github.com/MathOnco/Curvogram/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245784821,"owners_count":20671620,"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":[],"created_at":"2024-07-31T16:01:35.060Z","updated_at":"2025-03-27T04:31:11.441Z","avatar_url":"https://github.com/MathOnco.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"# Curvogram\n\nEnvisioned by Ryan Schenck with development of method from Jeffrey West.\n\nMethod for plotting histograms on a curve using a West Transform. Originally, the term 'histo' means mast, as in a sailboat mast that holds the luff of a sail. Here we call these a curvogram, which is a histogram on a curve that is given by a user defined function. The transformed coordinates are a conformal mapping to the curve/function defined by the user, termed the West Coordinate Transform.\n\nTogether, the West Coordinate Transform and the Curvogram represent a fun way to visualize high density information that is often plotted separately for sake of accuracy. However, this separation, may not be necessary if the take away for a plot is easily understood using a curvogram or the curvogram is supplemented with the original histogram elsewhere.\n\n## Examples\nHere are two versions with matlab and python code.\n\n### Matlab\n[![View Curvogram on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/110645-curvogram)\n\nHere we show the functions for a normal distribution whose mean is 1.5 and variance of 0.5. The curve functions are f(x)=sin(x), f(x)=cos(x), and f(x)=x^2.\n![](/MATLAB/MATLAB_example.png?raw=true)\n\n\n### Python\n\nHere we show the same curve functions: f(x)=sin(x), f(x)=cos(x), and f(x)=x^2.\n![](/python/Python_example.png?raw=true)\n\n\n### Important considerations:\n1. The curve cannot be that complex. So simple x/y relationships work best.\n2. The distributions that you plot on the curve needs to be clear, but how clear depends entirely on the steepness of the curve.\n3. The ***plotting area must be square***.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMathOnco%2FCurvogram","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FMathOnco%2FCurvogram","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMathOnco%2FCurvogram/lists"}