thomascamminady

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.13"
# dependencies = [
#   "fire",
# ]
# ///
# pyright: reportMissingModuleSource=false
# pyright: reportMissingImports=false

thomascamminady

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.13"
# dependencies = [
#   "beautifulsoup4",
#   "requests",
#   "icalendar"
# ]
# ///
# pyright: reportMissingModuleSource=false

thomascamminady

# /// script
# dependencies = [
#   "fire",
#   "polars",
#   "garmin-fit-sdk",
# ]
# ///
from __future__ import annotations

import logging

thomascamminady

# /// script
# dependencies = [
#   "fire",
#   "polars",
#   "rich",
#   "redshift_connector",
# ]
# ///

import json

thomascamminady

{
    "config": {
        "text": {
            "color": "gray",
            "fontSize": 14
        },
        "title": {
            "anchor": "middle",
            "fontWeight": "normal",
            "titleFontWeight": "normal",

thomascamminady

```
{
  "$schema": "https://vega.github.io/schema/vega/v5.json",
  "background": "white",
  "padding": 5,
  "width": 480,
  "data": [
    {
      "name": "brush_store"
    },

thomascamminady

thomascamminady

# %%
import numpy as np
import matplotlib.pyplot as plt
from cycler import cycler
import matplotlib.patheffects as path_effects

# %%
np.random.seed(1)
n, m = 200, 6
x = np.arange(n)

thomascamminady

import polars as pl 



def drop_columns_that_are_all_null(_df: pl.DataFrame) -> pl.DataFrame:
    return _df[[s.name for s in _df if not (s.null_count() == _df.height)]]


 

thomascamminady

{
  "$schema": "https://vega.github.io/schema/vega/v5.json",
  "background": "white",
  "padding": 5,
  "title": {"anchor": "middle", "text": "World Record Progression"},
  "data": [
    {"name": "param_13_store"},
    {"name": "param_14_store"},
    {
      "name": "data-f0a84751744be4555114288140dc4b49",