diff --git a/.ipynb_checkpoints/Examples-checkpoint.ipynb b/.ipynb_checkpoints/Examples-checkpoint.ipynb deleted file mode 100644 index 2170a81..0000000 --- a/.ipynb_checkpoints/Examples-checkpoint.ipynb +++ /dev/null @@ -1,139 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "from solarlib import *\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "day=0 # for January 1st\n", - "h=13.5 # 1:30 pm\n", - "lat=51.5074 # Latitude\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(15.799012631177902, '15:47:56')" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Sunset(lat,day)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(8.200987368822098, '08:12:03')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Sunrise(lat,day)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "252.5009632059124\n" - ] - } - ], - "source": [ - "h=np.linspace(0,24,49)\n", - "irr=SolarIrradiance(lat,day,13)\n", - "print(irr)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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