如何使用 SciPy 运行统计累积分布函数和概率密度函数? [英] How to run statistics Cumulative Distribution Function and Probability Density Function using SciPy?
问题描述
我是 Python 新手，也是 SciPy 库的新手.在深入 SciPy 世界之前，我想从列表中的专家那里得到一些问题.
I am new to Python and new to SciPy libraries. I wanted to take some ques from the experts here on the list before dive into SciPy world.
我想知道是否有人可以提供有关如何运行两个统计函数的粗略指南:累积分布函数 (CDF) 和概率分布函数 (PDF).
I was wondering if some one could provide a rough guide about how to run two stats functions: Cumulative Distribution Function (CDF) and Probability Distribution Function (PDF).
我的用例如下:我有一个包含 1000 个浮点值的 sampleSpaceList [].当在我的程序中生成一个新的浮点值时，我想在 sampleList 上为它运行 CDF 和 PDF，并获得小于或等于 CDF 的值的概率和 PDF 的概率分布.
My use case is the following: I have a sampleSpaceList [] which have 1000 floating point values. When a new floating point value is generated in my program, I would like to run both CDF and PDF on the sampleList for it and get the probability of value less or equal for CDF and probability distribution for PDF.
基本上，在我的程序中，有些事件可以成功也可以失败.如果他们成功，那么我计算该事件的事件比率并添加到我的 sampleSpaceList 直到它达到 1000 的阈值.一旦达到阈值，那么对于任何下一个事件比率；我想知道该事件比率在我的系统中是否会成功的概率.
Basically, in my program there are events which can either succeed or fail. If they succeed, then I calculate a event-ratio for that event and add to my sampleSpaceList until it reaches a threshold of 1000. Once the threshold is achieved, then for any next event-ratio; I would like to get a probability that whether that event-ratio would succeed or not in my system.
我基本上想得到的是特定事件比率的成功概率.
What I basically would like to get is the probability of success for a particular event ratio.
我不太确定 CDF 或 PDF 是否与我的问题相关，所以这就是为什么我想学习如何使用两者但在任何给定时刻，我将只使用 CDF 或 PDF 来获得概率成功的事件比率.
I am not very sure whether CDF or PDF will be relative to my problem so that 's why I wanted to learn how to use both but at any given moment, I will be only using either CDF or PDF to get a probability of event-ratio being successful.
推荐答案
参见这篇文章:SciPy 中的概率分布.
这篇关于如何使用 SciPy 运行统计累积分布函数和概率密度函数?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
