Python库 | lifelines-0.7.1.0.tar.gz

 [](https://pypi.python.org/pypi/lifelines/) [](https://travis-ci.org/CamDavidsonPilon/lifelines) [](https://coveralls.io/r/CamDavidsonPilon/lifelines?branch=master) [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: #### Dependencies: The usual Python data stack: NumPy, SciPy, Pandas (a modern version please). Matplotlib is optional (as of 0.6.0+). #### Installing 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 python -m lifelines.tests ### *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 and syntax, please check out the [Documentation and Tutorials page](http://lifelines.readthedocs.org/en/latest/index.html) ### Citing lifelines - Davidson-Pilon, C., Lifelines, (2015), Github repository, https://github.com/CamDavidsonPilon/lifelines or with bibTex here: ``` @misc{Lifelines, author = {C., Davidson-Pilon}, title = {Lifelines}, year = {2015}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/camdavidsonpilon/lifelines}}, commit = {63fc4f0ada0c61248957a478f3544efb4eeb2ccf} } ```