{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Description\n",
"This notebook is an exercise to study the speed at which the Ascendant (`Lagna`) moves per sec, on average over the entire year. Please remember to install the following packages in your virtual environment before running this notebook.\n",
"\n",
"```bash\n",
"pip install plotly\n",
"pip install --upgrade nbformat\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"from flatlib import const\n",
"import plotly.graph_objects as go\n",
"from datetime import datetime, timedelta\n",
"from vedicastro.VedicAstro import VedicHoroscopeData"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"def calculate_daily_asc_speed(year, lat, lon, utc, ayan, house_system):\n",
" \"\"\"Calculates the ascendant speed for each day of the year.\"\"\"\n",
" asc_speeds = []\n",
" dates = []\n",
" \n",
" # Loop through each day of the year\n",
" start_date = datetime(year, 1, 1)\n",
" for day in range(365):\n",
" current_date = start_date + timedelta(days=day)\n",
" dates.append(current_date.strftime('%Y-%m-%d'))\n",
" \n",
" # Define two moments in time, at the start and end of the day\n",
" datetime_start = current_date.replace(hour=0, minute=0, second=1)\n",
" datetime_end = current_date.replace(hour=0, minute=0, second=11)\n",
" # datetime_end = current_date.replace(hour=23, minute=59, second=59)\n",
" difference = datetime_end - datetime_start\n",
" diff_seconds = difference.total_seconds()\n",
"\n",
" \n",
" # Generate horoscope data for both moments\n",
" horoscope_start = VedicHoroscopeData(datetime_start.year, datetime_start.month, datetime_start.day, datetime_start.hour, datetime_start.minute, datetime_start.second, utc, lat, lon, ayan, house_system)\n",
" final_chart_start = horoscope_start.generate_chart()\n",
" asc_start = final_chart_start.get(const.ASC)\n",
" asc_start_lon_deg = asc_start.lon\n",
" \n",
" horoscope_end = VedicHoroscopeData(datetime_end.year, datetime_end.month, datetime_end.day, datetime_end.hour, datetime_end.minute, datetime_end.second, utc, lat, lon, ayan, house_system)\n",
" final_chart_end = horoscope_end.generate_chart()\n",
" asc_end = final_chart_end.get(const.ASC)\n",
" asc_end_lon_deg = asc_end.lon\n",
" \n",
"\n",
" # Calculate the change in Ascendant position\n",
" delta_degrees = (asc_end_lon_deg - asc_start_lon_deg) % 360\n",
" \n",
" \n",
" asc_speeds.append(delta_degrees/ diff_seconds) # Speed in degrees per second over the entire day\n",
" \n",
" return dates, asc_speeds"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Asc Speed on 2024-01-01: 0.00420 ° per second\n"
]
}
],
"source": [
"# Example usage parameters\n",
"year = 2024\n",
"lat = 11.020085773931049 # Example latitude\n",
"lon = 76.98319647719487 # Example longitude\n",
"utc = \"+05:30\"\n",
"ayan = \"Krishnamurti\" \n",
"house_system = \"Placidus\"\n",
"\n",
"dates, asc_speeds = calculate_daily_asc_speed(year, lat, lon, utc, ayan, house_system)\n",
"print(f\"Asc Speed on {dates[0]}: {asc_speeds[0]:.5f} ° per second\")\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Date: %{x}
AscSpeed: %{y:.5f}° per second",
"mode": "lines",
"name": "",
"type": "scatter",
"x": [
"2024-01-01",
"2024-01-02",
"2024-01-03",
"2024-01-04",
"2024-01-05",
"2024-01-06",
"2024-01-07",
"2024-01-08",
"2024-01-09",
"2024-01-10",
"2024-01-11",
"2024-01-12",
"2024-01-13",
"2024-01-14",
"2024-01-15",
"2024-01-16",
"2024-01-17",
"2024-01-18",
"2024-01-19",
"2024-01-20",
"2024-01-21",
"2024-01-22",
"2024-01-23",
"2024-01-24",
"2024-01-25",
"2024-01-26",
"2024-01-27",
"2024-01-28",
"2024-01-29",
"2024-01-30",
"2024-01-31",
"2024-02-01",
"2024-02-02",
"2024-02-03",
"2024-02-04",
"2024-02-05",
"2024-02-06",
"2024-02-07",
"2024-02-08",
"2024-02-09",
"2024-02-10",
"2024-02-11",
"2024-02-12",
"2024-02-13",
"2024-02-14",
"2024-02-15",
"2024-02-16",
"2024-02-17",
"2024-02-18",
"2024-02-19",
"2024-02-20",
"2024-02-21",
"2024-02-22",
"2024-02-23",
"2024-02-24",
"2024-02-25",
"2024-02-26",
"2024-02-27",
"2024-02-28",
"2024-02-29",
"2024-03-01",
"2024-03-02",
"2024-03-03",
"2024-03-04",
"2024-03-05",
"2024-03-06",
"2024-03-07",
"2024-03-08",
"2024-03-09",
"2024-03-10",
"2024-03-11",
"2024-03-12",
"2024-03-13",
"2024-03-14",
"2024-03-15",
"2024-03-16",
"2024-03-17",
"2024-03-18",
"2024-03-19",
"2024-03-20",
"2024-03-21",
"2024-03-22",
"2024-03-23",
"2024-03-24",
"2024-03-25",
"2024-03-26",
"2024-03-27",
"2024-03-28",
"2024-03-29",
"2024-03-30",
"2024-03-31",
"2024-04-01",
"2024-04-02",
"2024-04-03",
"2024-04-04",
"2024-04-05",
"2024-04-06",
"2024-04-07",
"2024-04-08",
"2024-04-09",
"2024-04-10",
"2024-04-11",
"2024-04-12",
"2024-04-13",
"2024-04-14",
"2024-04-15",
"2024-04-16",
"2024-04-17",
"2024-04-18",
"2024-04-19",
"2024-04-20",
"2024-04-21",
"2024-04-22",
"2024-04-23",
"2024-04-24",
"2024-04-25",
"2024-04-26",
"2024-04-27",
"2024-04-28",
"2024-04-29",
"2024-04-30",
"2024-05-01",
"2024-05-02",
"2024-05-03",
"2024-05-04",
"2024-05-05",
"2024-05-06",
"2024-05-07",
"2024-05-08",
"2024-05-09",
"2024-05-10",
"2024-05-11",
"2024-05-12",
"2024-05-13",
"2024-05-14",
"2024-05-15",
"2024-05-16",
"2024-05-17",
"2024-05-18",
"2024-05-19",
"2024-05-20",
"2024-05-21",
"2024-05-22",
"2024-05-23",
"2024-05-24",
"2024-05-25",
"2024-05-26",
"2024-05-27",
"2024-05-28",
"2024-05-29",
"2024-05-30",
"2024-05-31",
"2024-06-01",
"2024-06-02",
"2024-06-03",
"2024-06-04",
"2024-06-05",
"2024-06-06",
"2024-06-07",
"2024-06-08",
"2024-06-09",
"2024-06-10",
"2024-06-11",
"2024-06-12",
"2024-06-13",
"2024-06-14",
"2024-06-15",
"2024-06-16",
"2024-06-17",
"2024-06-18",
"2024-06-19",
"2024-06-20",
"2024-06-21",
"2024-06-22",
"2024-06-23",
"2024-06-24",
"2024-06-25",
"2024-06-26",
"2024-06-27",
"2024-06-28",
"2024-06-29",
"2024-06-30",
"2024-07-01",
"2024-07-02",
"2024-07-03",
"2024-07-04",
"2024-07-05",
"2024-07-06",
"2024-07-07",
"2024-07-08",
"2024-07-09",
"2024-07-10",
"2024-07-11",
"2024-07-12",
"2024-07-13",
"2024-07-14",
"2024-07-15",
"2024-07-16",
"2024-07-17",
"2024-07-18",
"2024-07-19",
"2024-07-20",
"2024-07-21",
"2024-07-22",
"2024-07-23",
"2024-07-24",
"2024-07-25",
"2024-07-26",
"2024-07-27",
"2024-07-28",
"2024-07-29",
"2024-07-30",
"2024-07-31",
"2024-08-01",
"2024-08-02",
"2024-08-03",
"2024-08-04",
"2024-08-05",
"2024-08-06",
"2024-08-07",
"2024-08-08",
"2024-08-09",
"2024-08-10",
"2024-08-11",
"2024-08-12",
"2024-08-13",
"2024-08-14",
"2024-08-15",
"2024-08-16",
"2024-08-17",
"2024-08-18",
"2024-08-19",
"2024-08-20",
"2024-08-21",
"2024-08-22",
"2024-08-23",
"2024-08-24",
"2024-08-25",
"2024-08-26",
"2024-08-27",
"2024-08-28",
"2024-08-29",
"2024-08-30",
"2024-08-31",
"2024-09-01",
"2024-09-02",
"2024-09-03",
"2024-09-04",
"2024-09-05",
"2024-09-06",
"2024-09-07",
"2024-09-08",
"2024-09-09",
"2024-09-10",
"2024-09-11",
"2024-09-12",
"2024-09-13",
"2024-09-14",
"2024-09-15",
"2024-09-16",
"2024-09-17",
"2024-09-18",
"2024-09-19",
"2024-09-20",
"2024-09-21",
"2024-09-22",
"2024-09-23",
"2024-09-24",
"2024-09-25",
"2024-09-26",
"2024-09-27",
"2024-09-28",
"2024-09-29",
"2024-09-30",
"2024-10-01",
"2024-10-02",
"2024-10-03",
"2024-10-04",
"2024-10-05",
"2024-10-06",
"2024-10-07",
"2024-10-08",
"2024-10-09",
"2024-10-10",
"2024-10-11",
"2024-10-12",
"2024-10-13",
"2024-10-14",
"2024-10-15",
"2024-10-16",
"2024-10-17",
"2024-10-18",
"2024-10-19",
"2024-10-20",
"2024-10-21",
"2024-10-22",
"2024-10-23",
"2024-10-24",
"2024-10-25",
"2024-10-26",
"2024-10-27",
"2024-10-28",
"2024-10-29",
"2024-10-30",
"2024-10-31",
"2024-11-01",
"2024-11-02",
"2024-11-03",
"2024-11-04",
"2024-11-05",
"2024-11-06",
"2024-11-07",
"2024-11-08",
"2024-11-09",
"2024-11-10",
"2024-11-11",
"2024-11-12",
"2024-11-13",
"2024-11-14",
"2024-11-15",
"2024-11-16",
"2024-11-17",
"2024-11-18",
"2024-11-19",
"2024-11-20",
"2024-11-21",
"2024-11-22",
"2024-11-23",
"2024-11-24",
"2024-11-25",
"2024-11-26",
"2024-11-27",
"2024-11-28",
"2024-11-29",
"2024-11-30",
"2024-12-01",
"2024-12-02",
"2024-12-03",
"2024-12-04",
"2024-12-05",
"2024-12-06",
"2024-12-07",
"2024-12-08",
"2024-12-09",
"2024-12-10",
"2024-12-11",
"2024-12-12",
"2024-12-13",
"2024-12-14",
"2024-12-15",
"2024-12-16",
"2024-12-17",
"2024-12-18",
"2024-12-19",
"2024-12-20",
"2024-12-21",
"2024-12-22",
"2024-12-23",
"2024-12-24",
"2024-12-25",
"2024-12-26",
"2024-12-27",
"2024-12-28",
"2024-12-29",
"2024-12-30"
],
"y": [
0.004196090507289796,
0.004194524847355297,
0.004192651944882187,
0.004190474859058213,
0.004187997170251379,
0.004185223437642094,
0.004182158069451702,
0.004178806433677096,
0.004175174379903978,
0.0041712677584570205,
0.004167093513476061,
0.004162658489190107,
0.004157970096198937,
0.004153036239938501,
0.004147864891280051,
0.0041424645934824865,
0.004136843952898062,
0.004131012370453391,
0.0041249791477440565,
0.0041187538778928,
0.004112346875416506,
0.004105768046574099,
0.004099027965108348,
0.004092137387877415,
0.004085106776034309,
0.004077947367582624,
0.004070670017694056,
0.00406328586427378,
0.004055806308997489,
0.004048242366675936,
0.0040406055981975445,
0.004032907145671061,
0.0040251586634582285,
0.004017371402790104,
0.004009556603460851,
0.0040017259272474345,
0.003993890331881289,
0.003986061359896098,
0.003978250238347414,
0.0039704678667447976,
0.003962725678240986,
0.0039550343237891635,
0.0039474047500590356,
0.003939847740008417,
0.003932373518199484,
0.00392499264033006,
0.00391771508377019,
0.003910551172228338,
0.003903510654481579,
0.0038966033078622784,
0.00388983892754311,
0.0038832266680714155,
0.003876776120407044,
0.003870496264349299,
0.0038643958956470215,
0.0038584840502892347,
0.0038527689668683253,
0.003847259117554813,
0.0038419627747344975,
0.0038368876251411166,
0.0038320415849653956,
0.003827432117688545,
0.0038230667086168067,
0.003818952400138187,
0.003815096182725597,
0.003811505048824415,
0.0038081853718381353,
0.003805143981330161,
0.0038023871421444255,
0.003799920957405334,
0.0037977517549961704,
0.003795885037513358,
0.003794326486215027,
0.003793081552652211,
0.0037921551119495687,
0.0037915522999725226,
0.003791277856726083,
0.0037913365523536413,
0.003791732884627663,
0.003792471281570897,
0.0037935559255174666,
0.0037949907464053466,
0.003796779879590417,
0.0037989268543498155,
0.0038014351786131327,
0.0038043083335281835,
0.0038075491740301006,
0.003811160770462152,
0.0038151457250449996,
0.0038195065944023553,
0.003824245635854595,
0.003829364766636445,
0.0038348660359901034,
0.0038407507765867875,
0.0038470207238759714,
0.003853676998926403,
0.003860720533782569,
0.0038681524802399283,
0.003875973132548438,
0.0038841829060061173,
0.0038927818653490933,
0.0039017692761859736,
0.003911144661176991,
0.003920906699204352,
0.0039310541160432425,
0.003941585207633125,
0.003952497866765725,
0.003963789823001207,
0.003975458177978908,
0.003987500090909179,
0.003999911917367172,
0.004012689583947804,
0.00402582901458004,
0.004039325035552111,
0.004053172427268237,
0.00406736545579065,
0.004081897395190026,
0.004096761594388454,
0.004111950327052227,
0.004127455461633645,
0.004143268457562499,
0.004159379715326849,
0.004175779542430291,
0.004192457181818554,
0.004209401784925149,
0.004226601467053115,
0.004244043694194488,
0.0042617157117547325,
0.004279603311641722,
0.004297692169495803,
0.0043159668854684695,
0.004334410992640869,
0.004353007900402872,
0.004371739764525273,
0.0043905882243620905,
0.004409534411291815,
0.0044285582625093415,
0.004447639554473426,
0.00446675687750826,
0.004485888687997886,
0.0045050123319640535,
0.004524104508328719,
0.004543141796813188,
0.004562099420525101,
0.004580952733880395,
0.004599676236227879,
0.004618243595035665,
0.004636628713507207,
0.004654804295728354,
0.004672743204667995,
0.004690418033487731,
0.004707800725907418,
0.004724863716074878,
0.0047415789197202685,
0.004757918916078551,
0.004773855899469481,
0.0047893624604682826,
0.004804411627475247,
0.004818976115052465,
0.004833029737977767,
0.0048465462298736385,
0.004859499898356034,
0.004871866291534843,
0.004883621011720152,
0.004894741116851264,
0.004905204671928232,
0.004914990343542059,
0.004924078523055186,
0.004932450534323607,
0.004940089259218894,
0.0049469788809346936,
0.004953104947458087,
0.004958454753722208,
0.00496301682415492,
0.004966781816028743,
0.0049697414833531186,
0.004971889197400969,
0.004973220544474089,
0.0049737320578003615,
0.004973422614341416,
0.004972292934246525,
0.004970345106949025,
0.004967583634430639,
0.004964014502240844,
0.004959645666747292,
0.004954486642469646,
0.004948548420725274,
0.004941843727925744,
0.004934386415783365,
0.004926192297159559,
0.004917278058957209,
0.004907661711899891,
0.004897363077088812,
0.004886402401592704,
0.004874801590489142,
0.004862583573435586,
0.004849771675179681,
0.004836390825471426,
0.004822466113358815,
0.004808023507870729,
0.004793089761168545,
0.0047776915571269285,
0.0047618565195183035,
0.004745611968739638,
0.0047289859220224885,
0.004712005942857189,
0.0046946995647605405,
0.004677094784274516,
0.004659218731555015,
0.004641099150104466,
0.00462276329341158,
0.004604237853269311,
0.004585549903619324,
0.0045667253302688945,
0.004547790044026456,
0.004528769407153632,
0.004509687733949974,
0.00449056926635123,
0.004471437091605068,
0.004452314179188477,
0.004433222319001473,
0.004414182809426137,
0.004395216442418715,
0.004376342759534424,
0.004357581223843355,
0.004338950284430254,
0.004320467381830895,
0.004302149915807974,
0.004284013853917657,
0.0042660749441147065,
0.004248348234303733,
0.0042308476371786695,
0.004213586855593121,
0.00419657836700793,
0.00417983440672387,
0.004163366008107516,
0.0041471837095159005,
0.004131297608907403,
0.0041157167193766496,
0.004100450145845968,
0.004085505986825666,
0.004070891795624476,
0.004056615033430688,
0.00404268198597677,
0.004029098861055758,
0.004015871343894162,
0.004003004209010896,
0.003990502188496237,
0.003978369275966287,
0.003966609193783199,
0.003955225146246732,
0.003944219796705539,
0.003933595772298304,
0.00392335480602668,
0.003913498898329948,
0.0039040292844610748,
0.0038949468939982524,
0.003886252805583723,
0.003877947224967926,
0.0038700305359192556,
0.003862502855172778,
0.003855363575736703,
0.00384861237126799,
0.0038422480679386694,
0.0038362695262932787,
0.003830675217341195,
0.003825463319486744,
0.0038206320111797256,
0.003816179055688451,
0.0038121024743233535,
0.003808399723853029,
0.0038050680703534566,
0.0038021050079095177,
0.0037995072384319427,
0.0037972716870115163,
0.0037953949920392915,
0.0037938735068607345,
0.0037927034728227225,
0.003791880812038073,
0.0037914013427950977,
0.0037912607842471857,
0.003791454593712729,
0.003791978016643327,
0.003792826051048337,
0.00379399391825217,
0.0037954762656482897,
0.003797267764528556,
0.003799363112456433,
0.0038017563890861083,
0.0038044420902380695,
0.003807414035510703,
0.0038106659758881277,
0.003814191545616552,
0.003817983899516264,
0.003822036215454716,
0.0038263412587852485,
0.0038308920794079882,
0.003835681198066254,
0.003840700974228639,
0.0038459440193761908,
0.003851402160029238,
0.0038570674604684997,
0.0038629317926890394,
0.003868986402986252,
0.003875222944215295,
0.0038816323995575887,
0.003888205731018957,
0.0038949338839643134,
0.0039018071839933555,
0.003908816253644432,
0.003915951108243121,
0.003923202079612054,
0.0039305589542451,
0.003938011374253847,
0.003945549286758876,
0.0039531618569697,
0.00396083874982196,
0.0039685692547351435,
0.003976342279260336,
0.00398414722694298,
0.003991972709359004,
0.0039998076611723835,
0.004007640918918298,
0.004015460848385999,
0.004023256268801845,
0.004031015538623705,
0.0040387275120963295,
0.004046380607135802,
0.004053963443016073,
0.004061464854220276,
0.004068873227573988,
0.004076177650226498,
0.004083366840905001,
0.004090429619495239,
0.004097355381713896,
0.00410413302338668,
0.00411075205248892,
0.004117202151869037,
0.004123472784263527,
0.004129554084661891,
0.004135436149590532,
0.004141109568308821,
0.004146564942558939,
0.004151793328463782,
0.004156786310861094,
0.004161535333776101,
0.004166032878140413,
0.004170271361525124,
0.004174243604481376,
0.004177943296559761,
0.004181363883779455,
0.004184499698570221,
0.004187345517507879,
0.004189896168213636,
0.004192147440676308,
0.004194095358786854,
0.004195736658371629,
0.004197068513528279,
0.004198088541593847,
0.004198795088373686,
0.0041991867642138915,
0.004199263195326352,
0.0041990241354426415,
0.004198469885815825,
0.004197601758855285
]
}
],
"layout": {
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#f2f5fa"
},
"error_y": {
"color": "#f2f5fa"
},
"marker": {
"line": {
"color": "rgb(17,17,17)",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "rgb(17,17,17)",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#A2B1C6",
"gridcolor": "#506784",
"linecolor": "#506784",
"minorgridcolor": "#506784",
"startlinecolor": "#A2B1C6"
},
"baxis": {
"endlinecolor": "#A2B1C6",
"gridcolor": "#506784",
"linecolor": "#506784",
"minorgridcolor": "#506784",
"startlinecolor": "#A2B1C6"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"line": {
"color": "#283442"
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"line": {
"color": "#283442"
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#506784"
},
"line": {
"color": "rgb(17,17,17)"
}
},
"header": {
"fill": {
"color": "#2a3f5f"
},
"line": {
"color": "rgb(17,17,17)"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#f2f5fa",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#f2f5fa"
},
"geo": {
"bgcolor": "rgb(17,17,17)",
"lakecolor": "rgb(17,17,17)",
"landcolor": "rgb(17,17,17)",
"showlakes": true,
"showland": true,
"subunitcolor": "#506784"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "dark"
},
"paper_bgcolor": "rgb(17,17,17)",
"plot_bgcolor": "rgb(17,17,17)",
"polar": {
"angularaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"bgcolor": "rgb(17,17,17)",
"radialaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
},
"yaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
},
"zaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
}
},
"shapedefaults": {
"line": {
"color": "#f2f5fa"
}
},
"sliderdefaults": {
"bgcolor": "#C8D4E3",
"bordercolor": "rgb(17,17,17)",
"borderwidth": 1,
"tickwidth": 0
},
"ternary": {
"aaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"baxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"bgcolor": "rgb(17,17,17)",
"caxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"updatemenudefaults": {
"bgcolor": "#506784",
"borderwidth": 0
},
"xaxis": {
"automargin": true,
"gridcolor": "#283442",
"linecolor": "#506784",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "#283442",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "#283442",
"linecolor": "#506784",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "#283442",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Ascendant Movement Per Second for Each Day of 2024"
},
"xaxis": {
"title": {
"text": "Date"
}
},
"yaxis": {
"title": {
"text": "Movement (degrees/sec)"
}
}
}
}
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plotting with Plotly\n",
"fig = go.Figure()\n",
"fig.add_trace(go.Scatter(x=dates, y=asc_speeds, mode='lines',name = \"\",\n",
" hovertemplate=\"Date: %{x}
\" + \"AscSpeed: %{y:.5f}° per second\"))\n",
"\n",
"fig.update_layout(title=f'Ascendant Movement Per Second for Each Day of {year}',\n",
" xaxis_title='Date',\n",
" yaxis_title='Movement (degrees/sec)',\n",
" template='plotly_dark')\n",
"fig.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "astro",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
}
},
"nbformat": 4,
"nbformat_minor": 2
}