Python库 | lifelines-0.15.3.tar.gz

 [](https://badge.fury.io/py/lifelines) [](https://travis-ci.org/CamDavidsonPilon/lifelines) [](https://coveralls.io/github/CamDavidsonPilon/lifelines?branch=master) [](https://gitter.im/python-lifelines/Lobby) [](https://zenodo.org/badge/latestdoi/12420595) [](https://github.com/ambv/black) [What is survival analysis and why should I learn it?](http://lifelines.readthedocs.org/en/latest/Survival%20Analysis%20intro.html) Survival analysis was originally developed and applied heavily by the actuarial and medical community. Its purpose was to answer *why do events occur now versus later* under uncertainty (where *events* might refer to deaths, disease remission, etc.). This is great for researchers who are interested in measuring lifetimes: they can answer questions like *what factors might influence deaths?* But outside of medicine and actuarial science, there are many other interesting and exciting applications of this lesser-known technique, for example: - SaaS providers are interested in measuring customer lifetimes, or time to first behaviours - sociologists are interested in measuring political parties' lifetimes, or relationships, or marriages - analysing [Godwin's law](https://raw.githubusercontent.com/lukashalim/GODWIN/master/Kaplan-Meier-Godwin.png) in Reddit comments - A/B tests to determine how long it takes different groups to perform an action. *lifelines* is a pure Python implementation of the best parts of survival analysis. We'd love to hear if you are using *lifelines*, please leave an Issue and let us know your thoughts on the library. ## Installation: You can install *lifelines* using pip install lifelines Or getting the bleeding edge version with: pip install --upgrade --no-deps git+https://github.com/CamDavidsonPilon/lifelines.git from the command line. ##### Installation Issues? See the common [problems/solutions for installing lifelines](https://github.com/CamDavidsonPilon/lifelines/issues?utf8=%E2%9C%93&q=label%3Ainstallation+). #### Running the tests You can optionally run the test suite after install with py.test ## lifelines Documentation and an intro to survival analysis If you are new to survival analysis, wondering why it is useful, or are interested in *lifelines* examples, API, and syntax, please check out the [Documentation and Tutorials page](http://lifelines.readthedocs.org/en/latest/index.html) Example: ```python from lifelines import KaplanMeierFitter durations = [11, 74, 71, 76, 28, 92, 89, 48, 90, 39, 63, 36, 54, 64, 34, 73, 94, 37, 56, 76] event_observed = [True, True, False, True, True, True, True, False, False, True, True, True, True, True, True, True, False, True, False, True] kmf = KaplanMeierFitter() kmf.fit(durations, event_observed) kmf.plot() ``` <img src="https://imgur.com/d4Gi5J0.png" width="600"> ### Contacting & troubleshooting - There is a [Gitter](https://gitter.im/python-lifelines/) channel available. - Some users have posted common questions at [stats.stackexchange.com](https://stats.stackexchange.com/search?tab=votes&q=%22lifelines%22%20is%3aquestion) - creating an issue in the [Github repository](https://github.com/camdavidsonpilon/lifelines). ### Roadmap You can find the roadmap for lifelines [here](https://www.notion.so/camdp/6e2965207f564eb2a3e48b5937873c14?v=47edda47ab774ca2ac7532bb0c750559). ### Citing lifelines You can use this badge below to generate a DOI and reference text for the latest related version of lifelines: [](https://zenodo.org/badge/latestdoi/12420595)