title: How to run statistics Cumulative Distribution Function and Probability Density Function using SciPy?
body: <p>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.</p>
  
  <p>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).</p>
  
  <p>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.</p>
  
  <h3>some more information</h3>
  
  <p>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. </p>
  
  <p>What I basically would like to get is the probability of success for a particular event ratio. </p>
  
  <p>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.</p>