## Issue

I have data that contains a list of over thousand values, such as:

[3.481, 2.413, 4.682,…]

and can plot the histogram of it easily. However, I want to save the relative frequencies (or probability of each value occurring) of those values as a list, and make sure the frequency adds up to one. I tried using

import numpy

numpy.histogram(data, density=None)

But it’s not giving me what I want as the sum doesn’t equal one. And setting density equal to ‘True’ will normalize such that the integral over the range is 1, but I want the *sum* to equal one. Any help would be greatly appreciated, I tried looking all over the place for a simple code.

## Solution

This should do the job.

```
def rel_freq(x):
freqs = [(x.count(value) / len(x)) for value in set(x)]
return freqs
```

However, note that the sum will not come up to exactly 1 but something like `0.9999`

and that is because of floating point error.

Answered By – prnvbn

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