How do I see and customize the source code to Python's defined functions; describe, skew, and kurtosis definitions?

Question

I want to see and customize the python defined functions; describe, skew, and kurtosis. I can't seem to find how to access these functions codes though. I am using Jupyter Lab. Thank you for any help.

Answer 1

Seems like you're talking about SciPy functions. Here are the definitions: describe , skew , kurtosis . I found them via the SciPy documentation -- the [source] button. You can customize them by copying the code and changing it in your own module.

Answer 2

SOLVED NOW; 1- I checked the notes of describe() to see exactly which file was source. Apparently there are several generic.py files, so this is important.

Fist, I saved the file before any changes as genericBACKUP.py to be safe.

Then each small change to code, I edited the notes with a simple #1, 2, 3 to confirm I was loading the version of file with newest changes that I intended. Note that both terminal and jupyter needed restarting to force the newest saved file with defs to load.

1st - copy entire code of def describe and past it below itself.

2nd - add "SK" onto "def describeSK" to include skew & kurtosis.

3rd - add skew & kurtosis like this to the new def describeSK section;

    def describe_numeric_1d(series):
        stat_index = (
            ["count", "mean", "std", "min"] + formatted_percentiles + ["max", "skew", "kurt"]
        )
        d = (
            [series.count(), series.mean(), series.std(), series.min()]
            + series.quantile(percentiles).tolist()
            + [series.max(), series.skew(), series.kurt()]
        )
        return pd.Series(d, index=stat_index, name=series.name)

My describeSK() output looks like this now. Perfect!

describeSK() output example link