SUBARU_STUFF.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7fc8e8c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from astropy.io import fits\n",
    "import astropy\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LogNorm\n",
    "import colorcet as cc\n",
    "from acstools import acszpt\n",
    "from astropy.table import Table\n",
    "%matplotlib qt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "31189b58",
   "metadata": {},
   "outputs": [],
   "source": [
    "image, header = fits.getdata(\"C:/Users/willi/Desktop/Hubble Data/subaru_calibrated/red.fits\", header = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e26c19b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "i = []\n",
    "for char in image:\n",
    "    i.append(min(char))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3d1b22cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "i.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9d222b17",
   "metadata": {},
   "outputs": [
    {
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       " ...]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "5685e724",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x205be5fa670>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.imshow(image, interpolation = \"nearest\")\n",
    "plt.clim(0,600)\n",
    "plt.colorbar()"
   ]
  }
 ],
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