How to find stat (min, max, quantile, etc) of a list without using pandas.series?

Question

I have a variable list of elements. I want to be able to find,

count
mean
std
min
25%
50%
75%
max
.

I know I can use pandas.Series.describe(). However, I have a restriction that I cannot use pandas for the specific problem. Is there any built in function/package that will give me the same output? Thanks.

Answer 1

As mentioned in the comments count, min, and max are all built in so you can simply call count(your_list), max(your_list), min(your_list).

I would recommend using libraries such as Pandas, Numpy etc. if you can. If you are restricted only to the standard library you can also take a look at the statistics module.

For the others:

Mean

def mean(li):
    return sum(li) / len(li)

Standard Deviation

def std(li):
    mu = mean(li)
    return (sum((x-mu)**2 for x in li)/len(li)) ** 0.5

Quartiles

I will implement for any percentile, you can then use percentile(your_list, 25) or others as needed.

def percentile(li, percentile):
    n = len(li)
    idx = n * percentile / 100
    return sorted(li)[math.floor(idx)]

If you want to replicate Pandas describe function:

def describe(li):
   return f"""
   count    {len(li)}
   mean     {mean(li)}
   std      {std(li)}
   min      {min(li)}
   25%      {percentile(li, 25)}
   50%      {percentile(li, 50)}
   75%      {percentile(li, 75)}
   max      {max(li)}"""