# Fitting empirical distribution to theoretical ones with Scipy (Python)?

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INTRODUCTION: I have a list of more than 30,000 integer values ranging from 0 to 47, inclusive, e.g.`[0,0,0,0,..,1,1,1,1,...,2,2,2,2,...,47,47,47,...]` sampled from some continuous distribution. The values in the list are not necessarily in order, but order doesn"t matter for this problem.

PROBLEM: Based on my distribution I would like to calculate p-value (the probability of seeing greater values) for any given value. For example, as you can see p-value for 0 would be approaching 1 and p-value for higher numbers would be tending to 0.

I don"t know if I am right, but to determine probabilities I think I need to fit my data to a theoretical distribution that is the most suitable to describe my data. I assume that some kind of goodness of fit test is needed to determine the best model.

Is there a way to implement such an analysis in Python (`Scipy` or `Numpy`)? Could you present any examples?

Thank you!

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## Fitting empirical distribution to theoretical ones with Scipy (Python)? __del__: Questions

How can I make a time delay in Python?

I would like to know how to put a time delay in a Python script.

2973

``````import time
time.sleep(5)   # Delays for 5 seconds. You can also use a float value.
``````

Here is another example where something is run approximately once a minute:

``````import time
while True:
print("This prints once a minute.")
time.sleep(60) # Delay for 1 minute (60 seconds).
``````

2973

You can use the `sleep()` function in the `time` module. It can take a float argument for sub-second resolution.

``````from time import sleep
sleep(0.1) # Time in seconds
``````

## Fitting empirical distribution to theoretical ones with Scipy (Python)? __del__: Questions

How to delete a file or folder in Python?

How do I delete a file or folder in Python?

2639

`Path` objects from the Python 3.4+ `pathlib` module also expose these instance methods:

We hope this article has helped you to resolve the problem. Apart from Fitting empirical distribution to theoretical ones with Scipy (Python)?, check other __del__-related topics.

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Javier Porretti

Singapore | 2023-03-24

Thanks for explaining! I was stuck with Fitting empirical distribution to theoretical ones with Scipy (Python)? for some hours, finally got it done 🤗. Will get back tomorrow with feedback

Marie Porretti

California | 2023-03-24

Maybe there are another answers? What Fitting empirical distribution to theoretical ones with Scipy (Python)? exactly means?. Checked yesterday, it works!

Chen Robinson

California | 2023-03-24

Simply put and clear. Thank you for sharing. Fitting empirical distribution to theoretical ones with Scipy (Python)? and other issues with test Python module was always my weak point 😁. I just hope that will not emerge anymore

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