John Arban Lewis johnarban

A simple Keplerian reflector

	def create_faceted_subsets(data, component, skip_nan=True):

	vals = data.to_dataframe()[component].unique()

	for v in vals:
	if skip_nan and v != v: # catches NaN
	continue
	dc.new_subset_group(
	label=str(v),
	subset_state=(data.id[component] == v)

	from skyfield import almanac
	from skyfield.api import load, wgs84

	eph = load("de440s.bsp")
	ts = load.timescale()
	obs = eph["earth"] + wgs84.latlon(0.0, 0.0, elevation_m=0.0)
	sun = eph["sun"]

	t_utc = ts.utc(2025, 3, 20, 9, 1, 0)
	year, month, day, _, _, _ = t_utc.utc

	<head>
	<meta charset="utf-8" />
	<meta name="viewport" content="width=device-width,initial-scale=1" />
	<title>WWT Asteroid Orbit (Hosted Model)</title>
	</head>

	<body>
	<div id="wwtcanvas"></div>

	<div id="ui">


	<script setup lang="ts">
	import { ref, type Ref, reactive } from 'vue'
	class Person {
	name: string
	age: number
	called = 0;
	constructor(name: string, age: number) {
	this.name = name
	this.age = age

	<script setup>
	import { ref } from 'vue'
	import { useTest } from './test';

	const notRefValue = 3
	const refValue = ref(7)

	const test = useTest(notRefValue, refValue)

	/*
	* Binary Ajax 0.1.10
	* Copyright (c) 2008 Jacob Seidelin, cupboy@gmail.com, http://blog.nihilogic.dk/
	* Licensed under the MPL License [http://www.nihilogic.dk/licenses/mpl-license.txt]
	*/


	var BinaryFile = function(strData, iDataOffset, iDataLength) {
	var data = strData;
	var dataOffset = iDataOffset \|\| 0;

	from pandas import DataFrame, concat, Series, isna
	import json


	def expand_subdict(df_col):
	"""
	Expand a column of dictionaries into a Series
	Drop any all nan columns
	"""
	# drop empty columns that are sometimes created.